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DTSTART;TZID=America/New_York:20230626T140000
DTEND;TZID=America/New_York:20230626T160000
DTSTAMP:20260404T184543
CREATED:20230614T132304Z
LAST-MODIFIED:20230614T132304Z
UID:10007581-1687788000-1687795200@seasevents.nmsdev7.com
SUMMARY:BE Doctoral Dissertation Defense: “Decellularized Cartilage for Airway Repair” (Paul Gehret)
DESCRIPTION:The Department of Bioengineering at the University of Pennsylvania and Dr. Riccardo Gottardi are pleased to announce the Doctoral Dissertation Defense of Paul Gehret. \nTitle: “Decellularized Cartilage for Airway Repair”. \nDate: June 26\, 2023 \nTime: 2:00 PM \nLocation: Wu and Chen Auditorium in Levine Hall \nThe public is welcome to attend.\nJoin Zoom Meeting\nhttps://upenn.zoom.us/j/7937445851?pwd=RUJYZFNhOWVyRmM5QzZUb3FoaDRxZz09 \nMeeting ID: 793 744 5851\nPasscode: 062623
URL:https://seasevents.nmsdev7.com/event/be-doctoral-dissertation-defense-decellularized-cartilage-for-airway-repair-paul-gehret/
LOCATION:Wu and Chen Auditorium (Room 101)\, Levine Hall\, 3330 Walnut Street\, Philadelphia\, PA\, 19104\, United States
CATEGORIES:Doctoral,Graduate,Student,Dissertation or Thesis Defense
ORGANIZER;CN="Bioengineering":MAILTO:be@seas.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20230626T130000
DTEND;TZID=America/New_York:20230626T140000
DTSTAMP:20260404T184543
CREATED:20230616T131357Z
LAST-MODIFIED:20230616T131357Z
UID:10007586-1687784400-1687788000@seasevents.nmsdev7.com
SUMMARY:PSOC@Penn Seminar: Mai Wang
DESCRIPTION:
URL:https://seasevents.nmsdev7.com/event/psocpenn-seminar-mai-wang/
LOCATION:Towne 337
CATEGORIES:Seminar,Doctoral,Graduate,Student
ORGANIZER;CN="PSOC":MAILTO:manu@seas.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20230622T130000
DTEND;TZID=America/New_York:20230622T143000
DTSTAMP:20260404T184543
CREATED:20230615T155111Z
LAST-MODIFIED:20230615T155111Z
UID:10007584-1687438800-1687444200@seasevents.nmsdev7.com
SUMMARY:MSE PhD Defense: Autonomous Stimuli-Responsive Metamaterials Based on Liquid Crystal Elastomers
DESCRIPTION:Numerous responsive materials have been developed in recent decades and applied toward engineering challenges ranging from medicine to robotics. For example\, polydimethylsiloxane (PDMS)\, hydrogels\, shape memory polymers (SMPs)\, liquid crystal elastomers (LCEs)\, and many other materials can be engineered to respond to many environmental stimuli\, such as non-polar solvents\, humidity\, heat\, light\, magnetic fields\, and electric fields. However\, there are some major limitations with most responsive materials: they typically respond slowly to the environment\, and the deformation triggered by the environmental input is often small. In this dissertation\, we propose to address these limitations by integrating responsive materials with mechanical metamaterials that are governed by scale-independent nonlinear mechanisms. These mechanisms can amplify and speed up the deformation of the responsive materials beyond what is possible for the responsive material\nby itself. \nIn this dissertation\, we specifically focus on the use of nonlinear mechanisms to improve the responsiveness of LCEs to changing heat or light in the environment\, enabling autonomous\, large-amplitude\, rapid deformation in engineered systems. We demonstrate the potential utility of this strategy in several contexts. First\, we engineer a metamaterial based on rotating squares with hinges consisting of LCE-PDMS bilayers. These bilayers\, combined with geometric properties\, such as the hinge thickness\, determine how the metamaterial deforms in response to temperature variations in the environment\, including the possibility of achieving either local or global deformation changes in response to localized temperature variations. Next\, we build a kirigami-inspired robot that autonomously changes its trajectory in response to the environment\, without any electronic controlsystem. The LCEs govern the behavior of modular “control units” that can be placed throughout the kirigami. These\, in turn\, locally impose mechanical constraints that control how the kirigami bends\, and thereby where the robot moves. Finally\, with the goal of attaining autonomous functional changes beyond what simple mechanical constraints can achieve\, we explore the idea of using LCEs\, in combination with hydrogels\, to regulate pneumatic circuits. We integrate LCEs with modular mechanical valves. We achieve basic logic gates and construct fluidic networks that can regulate the output pressure based on the local environment. We use this strategy to autonomously control the trajectory and function soft pneumatic robots. These prototypes illustrate the potential for designing autonomous intelligent materials that rapidly and autonomously undergo large-amplitude shape and functional transformations in response to their environment. The principles developed in this dissertation can\, in principle\, be implemented at smaller length scales in the future\, e.g.\, to develop responsive/intelligent metamaterial systems for micro- or medical robotics.
URL:https://seasevents.nmsdev7.com/event/mse-phd-defense-autonomous-stimuli-responsive-metamaterials-based-on-liquid-crystal-elastomers/
LOCATION:Towne 227 (MEAM Conference Room)\, 220 S. 33rd Street\, Philadelphia\, PA\, 19104\, United States
CATEGORIES:Dissertation or Thesis Defense
ORGANIZER;CN="Materials Science and Engineering":MAILTO:johnruss@seas.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20230621T100000
DTEND;TZID=America/New_York:20230621T110000
DTSTAMP:20260404T184543
CREATED:20230620T124224Z
LAST-MODIFIED:20230620T124224Z
UID:10007592-1687341600-1687345200@seasevents.nmsdev7.com
SUMMARY:MEAM Ph.D. Thesis Defense: "Addressing Stiffness-induced Challenges In Modeling and Identification of Rigid Body Systems with Frictional Impact"
DESCRIPTION:Imperfect but useful dynamical models have enabled significant progress in planning and controlling robotic locomotion and manipulation. Traditionally\, these models have been physics-based\, with accuracy relying upon manual calibration only feasible in laboratory environments. As robotics expands into complex real-world applications\, models must instead be automatically fit to limited data. One major challenge is modeling frictional contact\, especially during collisions involved in common robotics tasks. Rapid deformation under impact manifests as extreme sensitivity to initial conditions and material properties. Thus\, even slight errors in state estimation and system identification can lead to significant prediction errors. Consequently\, model inaccuracy or the sim-to-real gap often hinders the development of performant robotics algorithms. \nWhen only a few parameters are unknown\, physical models can be optimized using advanced techniques to overcome these challenges. However\, even with accurately identified parameters\, roboticists must make inaccurate rigid-body approximations to reduce the computational burdens of physical simulation to meet faster-than-real-time requirements. An alternative black-box approach has attempted to address these issues\, in which dynamical models are learned from scratch\, for instance using deep neural networks (DNN’s). While DNNs in theory can capture any dynamical behavior\, they have empirically struggled with the stiff behaviors associated with contact. \nThe dissertation instead focuses on scaling physical model identification to the high-dimensional setting and quantifying the limited accuracy of low-fidelity physics models. We consider rigid bodies undergoing rigid contact\, for which infinite stiffness is represented as constrained optimization inside the dynamics. By careful treatment of these constraints\, we demonstrate that infinitely-stiff dynamics can be identified by optimizing a non-stiff objective. In conjunction\, we use DNN’s in a white-box setting to model purely physical quantities\, specifically reconstructing geometries from scratch. We then consider how the simplified rigid-body view of collisions lacks fidelity to correctly predict the outcomes of nearly-simultaneous collisions—such as heel and toe strikes during a foot step. We develop a theoretical basis to capture partial knowledge of such events as uncertain set-valued outcomes\, and again use numerical optimization to compute approximations of such sets.
URL:https://seasevents.nmsdev7.com/event/meam-ph-d-thesis-defense-addressing-stiffness-induced-challenges-in-modeling-and-identification-of-rigid-body-systems-with-frictional-impact/
LOCATION:Moore 216\, 200 S. 33rd Street\, Philadelphia\, PA\, 19104\, United States
CATEGORIES:Doctoral,Dissertation or Thesis Defense
ORGANIZER;CN="Mechanical Engineering and Applied Mechanics":MAILTO:meam@seas.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20230620T130000
DTEND;TZID=America/New_York:20230620T140000
DTSTAMP:20260404T184543
CREATED:20230616T131007Z
LAST-MODIFIED:20230616T131007Z
UID:10007585-1687266000-1687269600@seasevents.nmsdev7.com
SUMMARY:PSOC@Penn Seminar: Michael Tobin
DESCRIPTION:
URL:https://seasevents.nmsdev7.com/event/psocpenn-seminar-michael-tobin/
LOCATION:Towne 327
CATEGORIES:Seminar,Doctoral,Graduate,Student
ORGANIZER;CN="PSOC":MAILTO:manu@seas.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20230620T120000
DTEND;TZID=America/New_York:20230620T130000
DTSTAMP:20260404T184543
CREATED:20230613T154734Z
LAST-MODIFIED:20230613T154734Z
UID:10007580-1687262400-1687266000@seasevents.nmsdev7.com
SUMMARY:MEAM Ph.D. Thesis Defense: “Design\, Characterization\, and Fabrication of Low-Cost\, Passive\, and Biodegradable Sensors For Precision Agriculture”
DESCRIPTION:With the global population projected to reach 9.1 billion people by 2050 there is a need to develop highly efficient agricultural systems that maximize crop yield. Precision Agriculture (PA) systems enabled by the Internet of Things (IoT) offer a potential solution through improvements in labor\, resource\, and time efficiency to improve agricultural output. PA systems enable this by providing a detailed characterization of field environment (e.g.\, soil moisture\, pH\, temperature\, etc.) so that these resources can be properly deployed spatially and temporally. To realize these systems\, sensors that give information about the state of the field are required. However\, for the technology to be scalable and practically implemented\, these sensors must balance performance and cost. These requirements limit the materials and methods that can be used to develop the technology\, including many that are common in modern sensor development. Additionally\, the challenge of biocompatibility and biodegradability must be addressed. \nIn this work\, a passive RF sensing system is presented for the detection of soil moisture. First\, a fabrication process for a fully biodegradable cellulose nanofibril (CNF) based composite substrate is presented. By using small quantities of CNF\, we are able to planarize the surface of a pulp-based cardstock paper to achieve smooth surfaces that are suitable for the fabrication of electrical structures. Next\, the hygroscopic properties of cellulose are leveraged to develop a capacitive sensor that utilizes the substrate as the sensing mechanism. By utilizing screen printing\, we repeatably produce capacitive structures with a high degree of fidelity. We demonstrate the ability to detect both humidity and soil moisture over a wide range and show the ability of the sensor to operate within the 902 – 928 MHz band. Additionally\, sensor cycling and repeatability is demonstrated\, a key requirement for in-field application. \nFinally\, integration and packaging of the sensor is investigated. Capacitive structures are integrated into a wired PCB system and are shown to exhibit good performance. Natural wax-based packagings are also explored\, with mechanical characterization of various wax mixtures conducted to choose a suitable candidate. We show that the selected wax mixture can protect devices in a soil environment while still enabling capacitive sensing\, demonstrating the ability for natural waxes to be used as a suitable packaging material for biodegradable sensors.
URL:https://seasevents.nmsdev7.com/event/meam-ph-d-thesis-defense-design-characterization-and-fabrication-of-low-cost-passive-and-biodegradable-sensors-for-precision-agriculture/
LOCATION:Room 337\, Towne Building\, 220 South 33rd Street\, Philadelphia\, PA\, 19104\, United States
CATEGORIES:Doctoral,Dissertation or Thesis Defense
ORGANIZER;CN="Mechanical Engineering and Applied Mechanics":MAILTO:meam@seas.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20230620T100000
DTEND;TZID=America/New_York:20230620T233000
DTSTAMP:20260404T184543
CREATED:20230615T130946Z
LAST-MODIFIED:20230615T130946Z
UID:10007582-1687255200-1687303800@seasevents.nmsdev7.com
SUMMARY:MEAM Seminar: "Computationally-constrained Dynamically-feasible Search-based Motion Planning"
DESCRIPTION:Planning fast and autonomous robotic motion in unstructured\, cluttered environments remains a core challenge of the robotics community. The robot’s motion must be agile and dynamic\, operating near the limit of its physical capabilities\, to reach its goal location as quickly as possible. Fast motion in turn creates a need for fast plan computation over large and complex areas of the robots environment. Search-based planning\, entailing search over trajectory-based graphs\, offers a theoretically grounded method to plan optimal motion that is dynamically feasible. However\, the computational footprint of this approach is often too burdensome\, as graph search speed scales inversely with the size of the planning graph. To tackle this challenge\, we concentrate on designing a sparse planning graph and dynamically determining the required graph size based on obstacle density. \nWe introduce a method for selecting vertices and edges in a motion primitive graph grounded in statistical dispersion\, which ensures guarantees on planner completeness. By minimizing dispersion of graph vertices in the trajectory cost-induced metric space\, our approach efficiently covers the space of feasible trajectories. Our motion primitive graphs outperform baseline methods\, with lower dispersion\, fewer iterations of graph search\, and fewer tunable parameters. \nWhile this method can generate high-quality graphs of a specified size\, the selection of this size has significant effects on planner performance. Sparser graphs may miss a narrow corridor that the plan must traverse\, while denser ones may result in excessive computation time. We address this tradeoff with a framework consisting of two parts: offline maximization of planner completeness for several graph sizes\, and online dynamic adjustment of the graph size based on empirical planner performance. Through real world experiments in cluttered pine forests\, we demonstrate the real-time adaptability of the planner to different environments\, enabling flight up to 2.5 m/s in varying tree densities. \nFinally\, we explore the integration of trajectory optimization with search-based planning\, highlighting the potential synergies between these approaches and providing design tradeoffs.
URL:https://seasevents.nmsdev7.com/event/meam-seminar-computationally-constrained-dynamically-feasible-search-based-motion-planning/
LOCATION:Room 337\, Towne Building\, 220 South 33rd Street\, Philadelphia\, PA\, 19104\, United States
CATEGORIES:Seminar
ORGANIZER;CN="Mechanical Engineering and Applied Mechanics":MAILTO:meam@seas.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20230619T100000
DTEND;TZID=America/New_York:20230619T120000
DTSTAMP:20260404T184543
CREATED:20230613T144457Z
LAST-MODIFIED:20230613T144457Z
UID:10007579-1687168800-1687176000@seasevents.nmsdev7.com
SUMMARY:CBE PhD Thesis Defense: "Electrochemical and Heterogeneous Catalysis for Selected Industrial Commodities"
DESCRIPTION:            Novel high-surface-area catalysts were synthesized for selected industrial chemical reactions\, conducted in heterogeneous reactors and electrochemical reactors. Atomic layer deposition (ALD) was used to synthesize highly dispersed metal catalysts and to deposit uniform oxide thin films on porous supports. \n            The interaction between Cu catalyst and its oxide support was studied for the water-gas-shift reaction\, a critically important reaction for maximizing the H2 production from syngas. The ALD-prepared Cu catalyst demonstrated ten times more reactivity than the impregnated Cu catalyst with the same metal loading and surface area. The selected oxide supports did not show promotion effects for the reaction\, but some mild stabilization over long-term aging was observed. In another case\, the selective oxidation of butane to maleic anhydride was studied on an ALD-prepared vanadium phosphate catalyst with eight times more surface area compared to the commercial bulk catalyst. Furthermore\, an ALD-prepared CaO/MgAl2O4 catalyst was studied for the aldol condensation of furfural and ketones/aldehydes to form precursors of lubricant oils and surfactants. The side reaction\, Cannizaro reaction\, was investigated for the long-term use of this catalyst. \n            Lastly\, ammonia synthesis was studied in a solid oxide electrochemical cell made with the state-of-the-art proton conductor BZCYYb (BaZr0.1Ce0.7Y0.1Yb0.1O3−δ). Instead of using both high temperature and high pressure in the commercial Haber-Bosch process\, this reaction was carried out under ambient pressure. The proton recombination was found to be barrierless on the cell surface\, greatly limiting the selectivity to ammonia. The implications of this phenomenon and its suppression were discussed.
URL:https://seasevents.nmsdev7.com/event/cbe-phd-thesis-defense-electrochemical-and-heterogeneous-catalysis-for-selected-industrial-commodities/
LOCATION:Towne 225
CATEGORIES:Dissertation or Thesis Defense
ORGANIZER;CN="Chemical and Biomolecular Engineering":MAILTO:cbemail@seas.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20230616T100000
DTEND;TZID=America/New_York:20230616T110000
DTSTAMP:20260404T184543
CREATED:20230602T164906Z
LAST-MODIFIED:20230602T164906Z
UID:10007576-1686909600-1686913200@seasevents.nmsdev7.com
SUMMARY:MEAM Ph.D. Thesis Defense: "Photophoretic Light-flyers for Mesospheric Applications"
DESCRIPTION:The Earth’s mesosphere plays a crucial role in weather forecasting\, environmental conservation\, and planetary exploration. However\, traditional unmanned aerial vehicles (UAVs) such as balloons or spacecraft face significant challenges when attempting to access this layer. Balloons and airplanes struggle due to the low pressure\, while satellites encounter high aerodynamic drag. To overcome these limitations\, we have developed a photophoresis-based UAV capable of levitating in the Earth’s mesosphere for an extended duration of days or even months. Photophoresis refers to the movement of small particles suspended in fluids when illuminated by an intense beam of light. This phenomenon can be attributed to a difference in heat exchange of a particle illuminated in gases or liquids. Our research focuses on the levitation of mylar-based light-flyers utilizing the photophoretic force driven by the difference in the thermal accommodation coefficient (TAC). These levitations ultimately occur under light irradiances comparable to natural sunlight (1.36 kW/m2). \nOur work encompasses several key contributions. First\, we proposed a guideline to minimize the ground effect associated with testing in a vacuum chamber\, ensuring realistic performance evaluations of light-flyers. Second\, we utilized germanium coatings as selective absorbers to achieve levitation at irradiances as low as 1.5 kW/m2 with minimal ground effect. Third\, we revised the previous semi-empirical model that underlies the photophoretic force based on our experimental observations. Finally\, we predicted successful levitations of light-flyers in a mesosphere-like environment under natural sunlight\, accommodating sub-milligram payloads. Overall\, our study represents a significant advancement towards launching long-life UAVs into Earth’s mesosphere\, which can offer substantial benefits to atmospheric science.
URL:https://seasevents.nmsdev7.com/event/meam-ph-d-thesis-defense-photophoretic-light-flyers-for-mesospheric-applications/
LOCATION:Lynch Lecture Hall\, Cret Wing\, CHEM\, 231 S. 34th Street\, Philadelphia\, PA\, 19104\, United States
CATEGORIES:Doctoral,Dissertation or Thesis Defense
ORGANIZER;CN="Mechanical Engineering and Applied Mechanics":MAILTO:meam@seas.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20230615T100000
DTEND;TZID=America/New_York:20230615T120000
DTSTAMP:20260404T184543
CREATED:20230526T152348Z
LAST-MODIFIED:20230526T152348Z
UID:10007571-1686823200-1686830400@seasevents.nmsdev7.com
SUMMARY:BE Doctoral Dissertation Defense: "Detecting and Localizing Progressive Changes In Longitudinal MRI of the Hippocampal Region in Alzheimer’s Disease" (Mengjin Dong)
DESCRIPTION:The Department of Bioengineering at the University of Pennsylvania and Dr. Paul Yushkevich are pleased to announce the Doctoral Dissertation Defense of Mengjin Dong.\n \nTitle: Detecting and Localizing Progressive Changes In Longitudinal MRI of the Hippocampal Region in Alzheimer’s Disease\n \nDate:                         Thursday\, June 15th\, 2023\nTime:                         10:00 am\nLocation:                    Biomedical Research Building (BRB)\, Classroom 0252 and Zoom.\n \nGoogle Maps of BRB:\nhttps://www.google.com/maps/place/Biomedical+Research+Building+(BRB)/@39.9480917\,-75.1985746\,17z/data=!3m1!4b1!4m6!3m5!1s0x89c6c65ec9dc0937:0x276d01d621dbae62!8m2!3d39.9480917!4d-75.1963859!16s%2Fg%2F11bwnd8dc7\n \nZoom Meeting ID:      461 034 1415\nZoom Link:              https://upenn.zoom.us/j/4610341415 \n\nThe public is welcome to attend.
URL:https://seasevents.nmsdev7.com/event/be-doctoral-dissertation-defense-detecting-and-localizing-progressive-changes-in-longitudinal-mri-of-the-hippocampal-region-in-alzheimers-disease-mengjin-dong/
LOCATION:BRB 0252
CATEGORIES:Doctoral,Graduate,Student,Dissertation or Thesis Defense
ORGANIZER;CN="Bioengineering":MAILTO:be@seas.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20230614T110000
DTEND;TZID=America/New_York:20230614T120000
DTSTAMP:20260404T184543
CREATED:20230601T133829Z
LAST-MODIFIED:20230601T133829Z
UID:10007573-1686740400-1686744000@seasevents.nmsdev7.com
SUMMARY:Department of Bioengineering Juneteenth Address: "A White Neighbor\, a Black Surgeon\, and a Mormon Computer Scientist Walk into a Bar…” (Kevin B. Johnson)
DESCRIPTION:“A White Neighbor\, a Black Surgeon\, and a Mormon Computer Scientist Walk into a Bar…” \nAs we recognize Juneteenth\, a holiday that brings awareness to what journalist Corey Mitchell calls “…a complex understanding of the nation’s past”\, we also need to understand  how many of our neighbors\, staff\, and faculty—even those born in the last 100 years—continue to navigate through the environment that made Juneteenth remarkable.  Dr. Johnson will share a bit of his personal story and how this story informs his national service and passion for teaching. \nThis talk will be held live in person in Berger Auditorium (Skirkanich Hall basement)\, streamed on Zoom\, and recorded. \nFollowing the event\, a limited number of box lunches will be available for in-person attendees. If you would like a box lunch\, please RSVP here so we can get an accurate headcount. \nJoin Zoom Meeting\nhttps://upenn.zoom.us/j/92503256013?pwd=amZKL1V0RUtYbnFjbHJEZXZEV01xZz09 \nMeeting ID: 925 0325 6013\nPasscode: 801060
URL:https://seasevents.nmsdev7.com/event/department-of-bioengineering-juneteenth-address/
LOCATION:Berger Auditorium (Room 13)\, Skirkanich Hall\, 210 South 33rd Street\, Philadelphia\, PA\, 19104\, United States
CATEGORIES:Seminar,Faculty,Diversity, Equity and Inclusion
ORGANIZER;CN="Bioengineering":MAILTO:be@seas.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20230614T103000
DTEND;TZID=America/New_York:20230614T120000
DTSTAMP:20260404T184543
CREATED:20230607T122028Z
LAST-MODIFIED:20230607T122028Z
UID:10007578-1686738600-1686744000@seasevents.nmsdev7.com
SUMMARY:MSE PhD Defense: Effects of Size and Composition on the Performance of Dealloyed Nanoporous Metal Catalysts for CO2 Reduction\, O2 Evolution\, and H2 Generation
DESCRIPTION:
URL:https://seasevents.nmsdev7.com/event/mse-phd-defense-effects-of-size-and-composition-on-the-performance-of-dealloyed-nanoporous-metal-catalysts-for-co2-reduction-o2-evolution-and-h2-generation/
LOCATION:LRSM Reading Room\, 3231 Walnut St.\, Philadelphia\, PA\, 19104\, United States
CATEGORIES:Dissertation or Thesis Defense
ORGANIZER;CN="Materials Science and Engineering":MAILTO:johnruss@seas.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20230614
DTEND;VALUE=DATE:20230617
DTSTAMP:20260404T184543
CREATED:20230525T163243Z
LAST-MODIFIED:20230525T163243Z
UID:10007570-1686700800-1686959999@seasevents.nmsdev7.com
SUMMARY:5th Annual Learning for Dynamics & Control Conference
DESCRIPTION:Over the next decade\, the biggest generator of data is expected to be devices that sense and control the physical world. \nThe explosion of real-time data that is emerging from the physical world requires a rapprochement of areas such as machine learning\, control theory\, and optimization. While control theory has been firmly rooted in the tradition of model-based design\, the availability and scale of data (both temporal and spatial) will require rethinking the foundations of our discipline. From a machine learning perspective\, one of the main challenges going forward is to go beyond pattern recognition and address problems in data-driven control and optimization of dynamical processes. Our overall goal is to create a new community of people who think rigorously across the disciplines\, ask new questions\, and develop the foundations of this new scientific area. We are happy to welcome you to the University of Pennsylvania for the 5th annual L4DC. Click here for more information. \nRegistration is now open!
URL:https://seasevents.nmsdev7.com/event/5th-annual-learning-for-dynamics-control-conference/
LOCATION:University of Pennsylvania
CATEGORIES:Conference
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20230612T110000
DTEND;TZID=America/New_York:20230612T120000
DTSTAMP:20260404T184543
CREATED:20230605T151800Z
LAST-MODIFIED:20230605T151800Z
UID:10007577-1686567600-1686571200@seasevents.nmsdev7.com
SUMMARY:MEAM Ph.D. Thesis Defense: "High Performance Electroadhesives for Materials and Robots with Electroprogrammable Stiffness"
DESCRIPTION:Materials with electroprogrammable stiffness and adhesion can enhance the performance of robotic systems\, including prosthetics\, medical devices\, wearables\, exoskeletons\, and grippers. However\, achieving large changes in stiffness and adhesive forces in real time is an ongoing challenge. Electroadhesive clutches can rapidly adhere high stiffness elements\, although their low force capacities\, high activation voltages\, and inability to separate and turn off stiffness changes reliably have limited their applications. \nA major challenge in realizing stronger electroadhesive clutches is that current parallel-plate models poorly predict clutch force capacity and cannot be used to design better devices. Thus\, current electroadhesive clutches suffer from force capacities below that of other materials with an electrically-programmable stiffness. Furthermore\, soft material interfaces have not been utilized for stronger electroadhesive clutches due to latent adhesion at the contact interface that prevents programmable release. \nThis work demonstrates strategies to improve electroadhesive clutch designs for high-performance applications in material systems and robots with an electrically-programmable stiffness. Using a fracture mechanics framework\, we build an improved understanding of the relationship between clutch design\, force capacity and contact area. This mechanics-based framework predicts clutch performance across multiple geometries and applied voltages. Based on this approach\, a Coulombic electrostatic clutch with 63 times the force capacity per unit electrostatic force of state-of-the-art electroadhesive clutches is realized. By doing so with traditional dielectrics and electrode materials\, we demonstrate the power of our mechanics-based design methodology to increase clutch performance without relying on expensive materials or intensive manufacturing processes\, making our approach optimal for widespread adoption by robotics researchers. \nFinally\, this mechanics-based design methodology is applied to the design of clutches with soft material interfaces. We demonstrate that this approach in conjunction with an engineered electroadhesive surface enables the use of elastomeric materials and low-voltage ionoelastomers in electroadhesive clutches with increased force capacities\, which are capable of programmable release at reduced device sizes. We utilize these high-performance clutch designs in novel applications with an electrically-programmable stiffness\, including soft robotic hands with enhanced load carrying capacity\, wearable haptic interfaces\, and morphing fabrics.
URL:https://seasevents.nmsdev7.com/event/meam-ph-d-thesis-defense-high-performance-electroadhesives-for-materials-and-robots-with-electroprogrammable-stiffness/
LOCATION:Room 2C8\, David Rittenhouse Laboratory Building\, 209 South 33rd Street\, Philadelphia\, PA\, 19104\, United States
CATEGORIES:Doctoral,Dissertation or Thesis Defense
ORGANIZER;CN="Mechanical Engineering and Applied Mechanics":MAILTO:meam@seas.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20230609T130000
DTEND;TZID=America/New_York:20230609T140000
DTSTAMP:20260404T184543
CREATED:20230601T184257Z
LAST-MODIFIED:20230601T184257Z
UID:10007575-1686315600-1686319200@seasevents.nmsdev7.com
SUMMARY:MEAM Ph.D. Thesis Defense: "Manually-Operated\, Slider Cassette for Multiplexed Molecular Detection at the Point of Care"
DESCRIPTION:Personalized medicine requires the identification of disease-causing agents prior to prescribing therapy. Currently\, molecular detection requires shipping bio samples to centralized laboratories. The time delay between sample collection and test results prevents health care givers from making timely\, informed decisions. Furthermore\, there is a shortage in centralized laboratories and trained technicians in resource poor settings such as rural areas and developing countries. To address this need for cost-effective\, reliable\, user-friendly\, real-time\, multiplexed detection of co-endemic pathogens at the point of need by minimally trained personnel\, I propose a 3D-printed\, manually operated\, slider cassette for multiplexed molecular detection. All needed reagents (in dry form) and buffers are pre-stored in the cassette\, refrigeration-free. Once the user introduces a raw sample such as whole blood into the cassette\, the user pushes a sliding bar that contains a nucleic acid isolation membrane\, comprised of chitosan coated glass fiber\, through a sequence of unit operations. The slider’s motion actuates blisters that discharge\, in sequence\, lysis buffer\, wash solution\, and elution solution. The lysis process is assisted with heat incubation\, wherein heat is provided by an exothermic reaction. Nucleic acids are isolated from the lysate through binding to the chitosan-coated membrane under low pH conditions. At the end of the sliding process\, the nucleic acids are eluted with a high pH buffer and aliquoted by capillary forces to individual reaction chambers. Each chamber stores a pre-dried LAMP reaction mix specific to a target. The chambers are then incubated at 65C\, facilitating LAMP amplification. The reaction products are detectable either in real time with fluorescent dye and/or at the end point with color change (colorimetric dye). A two-dimensional finite element (COMSOL) simulation was carried out to test for potential crosstalk among the reaction chambers and a three-dimensional finite element (FLUENT) simulation was performed to evaluate the on-cassette chemical heater’s performance used in the lysis process. I demonstrate the entire molecular diagnostic process from sample (plasma and blood) to answer by testing contrived samples spiked with various concentrations of HIV\, HCV\, and HBV.
URL:https://seasevents.nmsdev7.com/event/meam-ph-d-thesis-defense-manually-operated-slider-cassette-for-multiplexed-molecular-detection-at-the-point-of-care/
LOCATION:Zoom – Email MEAM for Link\, peterlit@seas.upenn.edu
CATEGORIES:Doctoral,Dissertation or Thesis Defense
ORGANIZER;CN="Mechanical Engineering and Applied Mechanics":MAILTO:meam@seas.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20230609T103000
DTEND;TZID=America/New_York:20230609T114500
DTSTAMP:20260404T184543
CREATED:20230125T152758Z
LAST-MODIFIED:20230125T152758Z
UID:10007446-1686306600-1686311100@seasevents.nmsdev7.com
SUMMARY:Spring 2023 GRASP on Robotics: Pauline Pounds\, The University of Queensland\, "Drones\, Bipeds and Sensors - 10 Years of the UQ Robotics Design Lab"
DESCRIPTION:This is a hybrid event with in-person attendance in Wu and Chen and virtual attendance via Zoom. This week’s presenter will be in-person as well.  \n  \nABSTRACT\nThe Robotics Design Lab was founded in 2012 at the University of Queensland\, Australia\, and considers the holistic design of robots as a system.  With the RDL Pauline Pounds’ work has focussed on improving robot performance\, reducing cost\, and developing practical solutions.  Her work has sought to increase drone endurance\, payload and range\, as well as develop ultra-low cost self-deploying sensor systems.  She has developed new sensors to allow drones to better sense and respond to aerodynamic conditions around them.  Her latest work on bipeds seeks to enable affordable dynamical bipeds for commercial applications.  This talk will give a broad overview of the last decade of her work in the RDL and highlight specific results within each of these areas.
URL:https://seasevents.nmsdev7.com/event/spring-2023-grasp-on-robotics-pauline-pounds/
LOCATION:Wu and Chen Auditorium (Room 101)\, Levine Hall\, 3330 Walnut Street\, Philadelphia\, PA\, 19104\, United States
CATEGORIES:Seminar
ORGANIZER;CN="General Robotics%2C Automation%2C Sensing and Perception (GRASP) Lab":MAILTO:grasplab@seas.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20230606T140000
DTEND;TZID=America/New_York:20230606T153000
DTSTAMP:20260404T184543
CREATED:20230601T190610Z
LAST-MODIFIED:20230601T190610Z
UID:10007574-1686060000-1686065400@seasevents.nmsdev7.com
SUMMARY:MSE PhD Thesis Defense: Self-Healing and Shape Memory Metal Electrodes in Magnesium-and Lithium-Ion Batteries
DESCRIPTION:
URL:https://seasevents.nmsdev7.com/event/mse-phd-thesis-defense-self-healing-and-shape-memory-metal-electrodes-in-magnesium-and-lithium-ion-batteries/
LOCATION:Glandt Forum\, Singh Center for Nanotechnology\, 3205 Walnut Street\, Philadelphia\, PA\, 19104\, United States
CATEGORIES:Dissertation or Thesis Defense
ORGANIZER;CN="Materials Science and Engineering":MAILTO:johnruss@seas.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20230606T100000
DTEND;TZID=America/New_York:20230606T113000
DTSTAMP:20260404T184543
CREATED:20230524T171524Z
LAST-MODIFIED:20230524T171524Z
UID:10007568-1686045600-1686051000@seasevents.nmsdev7.com
SUMMARY:MEAM Seminar: “Computational Study on the Influence of Roughness at Low and Very-High Reynolds Numbers”
DESCRIPTION:Many fluid problems of interest\, such as turbulent flow over an airplane or transport processes in geophysical flows\, contain wall-bounded regions that form boundary layers. Oftentimes\, both numerical and experimental studies are simplified by using smooth surfaces. This simplification has allowed us to gain a greater understanding of near-wall processes for flows of engineering interest\, yet most surfaces are inherently rough. In many cases\, especially at higher Reynolds numbers\, the roughness protrudes far enough into the boundary layer to disrupt the flow. This roughness can induce form drag\, reducing efficiency for ships\, planes\, and turbines\, or alter transport of particles in atmospheric flows. For lower Reynolds number flows\, roughness may produce the opposite effect\, reducing drag or enhancing lift capabilities. This is with the addition of dimples on a golf ball or the alula on a bird wing. \nIn this talk\, I present numerical results on the effects of roughness at two opposite ends of the spectrum. At low Reynolds number (O(103))\, roughness elements displayed an ability to decrease drag\, reducing power required\, and augment lift capabilities for a propeller designed for use with a micro-unmanned aerial vehicle. I discuss the physical mechanisms at play which influence near-wall vortical structures\, enhancing the aerodynamics of the propeller in a particularly viscous regime. The results of the simulations are corroborated with an in-house experimental study. Next\, I present preliminary simulation results to a very-high Reynolds number flow (O(106)) over a real topography featuring a step-change in roughness. An atmospheric boundary layer flow over the dunes at White Sands National Park in New Mexico is studied to discern the mechanism behind reduced sediment transport downstream of the step-change. I then discuss current efforts to explore how the internal boundary layer formed by the new wall condition may influence small near-wall scale interaction with large-scales in the outer portion of the flow.
URL:https://seasevents.nmsdev7.com/event/meam-seminar-computational-study-on-the-influence-of-roughness-at-low-and-very-high-reynolds-numbers/
LOCATION:Room 337\, Towne Building\, 220 South 33rd Street\, Philadelphia\, PA\, 19104\, United States
CATEGORIES:Seminar
ORGANIZER;CN="Mechanical Engineering and Applied Mechanics":MAILTO:meam@seas.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20230605T100000
DTEND;TZID=America/New_York:20230605T110000
DTSTAMP:20260404T184543
CREATED:20230531T175140Z
LAST-MODIFIED:20230531T175140Z
UID:10007572-1685959200-1685962800@seasevents.nmsdev7.com
SUMMARY:MEAM Seminar: "Wall-modeled LES of 3-D Turbulent Boundary Layer with Emphasis on Grid Independency"
DESCRIPTION:The capability to predict high-Reynolds-number turbulent flows is essential for many natural and engineering flows such as external aerodynamics (wind turbines\, aircraft wings)\, hydrodynamics (the hull of marine vehicles) and atmospheric boundary-layer flow over complex landscapes and cityscapes. However\, due to extreme disparity of scales present in high-Reynolds-number wall-bounded turbulent flows\, any attempt to simulate these flows directly without resorting to modeling of some sort results in prohibitively large computational cost. Among various modeling paradigms\, wall-modeled large-eddy simulation (WMLES) has the potential to be both predictive and affordable\, capturing more of the complex flow physics in the outer portion of boundary layers while modeling the expensive inner layer. \nIn this talk\, I will first present a comparative study of WMLES of a turbulent boundary layer with mean-flow three-dimensionality developing on the floor of a bent square duct\, which mimics the flow over the swept wing of the aircraft. It is demonstrated that more complex wall models better predict the near-wall three-dimensionality. The wall-stress direction from the wall models is shown to have separable contributions from the equilibrium stress part and the integrated nonequilibrium effects\, where how the latter is modeled differs among the wall models. Second\, I will discuss the ill-defined notion of grid convergence in WMLES. I propose that the convergence rate of WMLES is controlled by the extent of the wall-modeled region. A new perspective here is that one may attempt to converge WMLES at the desired grid resolution\, while the accuracy of the converged solution can be attributed primarily to wall models. Lastly\, I will talk about a new perspective on the dynamic LES models for subgrid-scale closure. I will show that there are dynamically important directions along which dynamic models can be further optimized.
URL:https://seasevents.nmsdev7.com/event/meam-seminar-wall-modeled-les-of-3-d-turbulent-boundary-layer-with-emphasis-on-grid-independency/
LOCATION:Room 2C4\, David Rittenhouse Laboratory Building\, 209 S. 33rd Street\, Philadelphia\, PA\, 19143\, United States
CATEGORIES:Doctoral,Dissertation or Thesis Defense
ORGANIZER;CN="Mechanical Engineering and Applied Mechanics":MAILTO:meam@seas.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20230601T120000
DTEND;TZID=America/New_York:20230601T133000
DTSTAMP:20260404T184543
CREATED:20230516T204123Z
LAST-MODIFIED:20230516T204123Z
UID:10007565-1685620800-1685626200@seasevents.nmsdev7.com
SUMMARY:CBE PhD Thesis Defense: "Modeling Diverse Processes at Oxide Interfaces"
DESCRIPTION:In this thesis\, ab initio methods including density functional theory are used in concert with molecular dynamics\, enhanced sampling techniques\, and microkinetic modeling to study oxide materials as applied to electrochemical ammonia synthesis\, carbon mineralization\, and the oxygen evolution reaction. Special attention is directed towards discussion of model selection and its relationship to the experimental system.\n\nPerovskite oxide BaZrO3-based ceramic electrolytes are shown to favor migration of protons from the bulk to the surface followed by hydrogen evolution without the need for a recombination catalyst. Using this same BaZrO3 electrolyte model surface\, microkinetic modeling of ammonia synthesis leads to the proposal of a new experimental methodology for improving selectivity to ammonia at elevated temperatures. The dissolution rates of Mg- and Ca-containing mineral oxides are shown to be surface dependent. Methods for calculating the lowest energy facets and terminations at different water chemical potentials are presented and discussed. Similarly\, transition metal oxides under acidic oxygen evolution reaction conditions expose different facets and have different adsorbate coverages depending on material and reaction conditions. Activity and stability are intimately related to these condition-dependent changes. Multi-surface Pourbaix diagrams are presented that allow for targeting model systems that are most likely to compare well with experiment. To help reduce the inherent complexity of these materials\, a model for predicting the hybridization energy due to interactions between adsorbates and metal oxide surfaces is presented pointing out the key electronic structure features dictating the strength of this adsorption interaction.\n\nAgreement between theory and experiment for metal oxides depends strongly on model selection subject to the reaction environment constraints. Further insight can be gleaned from physical models such as the generalized concerted coupling model\, which offers insights into how the oxide electronic structure can be tuned for an application.
URL:https://seasevents.nmsdev7.com/event/cbe-phd-thesis-defense-modeling-diverse-processes-at-oxide-interfaces/
LOCATION:Towne 225
CATEGORIES:Dissertation or Thesis Defense
ORGANIZER;CN="Chemical and Biomolecular Engineering":MAILTO:cbemail@seas.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20230531T090000
DTEND;TZID=America/New_York:20230531T100000
DTSTAMP:20260404T184543
CREATED:20230523T194006Z
LAST-MODIFIED:20230523T194006Z
UID:10007567-1685523600-1685527200@seasevents.nmsdev7.com
SUMMARY:MEAM Ph.D. Thesis Defense: "Transport Modeling and Design of Electrode Architectures for High Energy Density Batteries"
DESCRIPTION:With the ever-increasing production of portable electronics\, internet of things devices\, electric vehicles\, unmanned aerial vehicles\, and other autonomous robotic systems comes an increasing demand for reliable\, long-lasting\, portable power sources. Portable electronic systems are often limited by the energy density of the batteries that power them\, and these batteries typically take up a large fraction of the overall device weight and volume. Higher energy density batteries are needed to effectively power current and future devices. \nOne strategy for increasing energy density is to increase the volume fraction of active materials in the battery by increasing the thickness and decreasing the porosity of the electrodes. However\, existing electrode architectures cannot simultaneously enable thick\, high-density electrodes because electrolyte pathways are necessary for ion transport. Creating high solid volume fraction electrodes requires new electrode architectures which enable ion transport even when electrolyte volume is limited. \nTo achieve high energy\, most battery research focuses on making packaged batteries as small or as light as possible\, irrespective of the systems that such batteries will power. In biology\, multifunctional interconnected subsystems work together to create a more efficient full system. Incorporating multifunctionality into energy storage for robotics will lead to similar improvements in system-level efficiency. \nThis work demonstrates multiple approaches toward electrode architecture design for high energy density batteries. First\, we demonstrate how continuous electrode architectures enabled by the electrodeposition of lithium cobalt oxide (LCO) can overcome electrolyte transport limitations via fast solid-state diffusion. These electrodeposited LCO cathodes create a large opportunity space for improved energy density by enabling thick\, high solid volume fraction electrodes. We also present a novel catholyte architecture with the ability to store and extract energy from dissolved oxygen in silicone oil emulsions. This electrolyte is a promising candidate for multifunctional power systems and presents new design opportunities for flow batteries by removing the need for the challenging gas-liquid-solid interfaces and semi-open boundaries in conventional oxygen reduction reaction (ORR) cathodes.
URL:https://seasevents.nmsdev7.com/event/meam-ph-d-thesis-defense-transport-modeling-and-design-of-electrode-architectures-for-high-energy-density-batteries/
LOCATION:Room 337\, Towne Building\, 220 South 33rd Street\, Philadelphia\, PA\, 19104\, United States
CATEGORIES:Doctoral,Dissertation or Thesis Defense
ORGANIZER;CN="Mechanical Engineering and Applied Mechanics":MAILTO:meam@seas.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20230530T140000
DTEND;TZID=America/New_York:20230530T160000
DTSTAMP:20260404T184543
CREATED:20230517T170634Z
LAST-MODIFIED:20230517T170634Z
UID:10007566-1685455200-1685462400@seasevents.nmsdev7.com
SUMMARY:ESE PhD Thesis Defense: "Compute-In-Memory on Emerging Memory Technology: From Device to Algorithm"
DESCRIPTION:Current computing systems are mainly constructed on the von Neumann architecture\, where data needs to be transferred to a processing unit from memory components. The latency associated with accessing data from the memory units is a key performance bottleneck for a range of data-intensive applications in the convergence of big data and AI. Several solutions have been proposed to mitigate and overcome this bottleneck\, with a prominent one being placing memory and logic units in close physical proximity. While significant progress has been made along those lines at both technology and architecture levels\, a transformative approach would be to implement arithmetic kernels precisely where the data are stored using memory devices. This is known as compute-in-memory (CIM). \nIn this dissertation\, I will begin by presenting the most recent advancements in the CMOS-compatible ferroelectric memory technologies on aluminum nitride platform. Second\, I will present a reconfigurable CIM system on field-programmable ferroelectric diodes in a transistor-free architecture\, allowing for multiple essential data operations. Last\, I will discuss the conceptualization and demonstration of a programmable parallel search architecture – analog content-addressable memory (ACAM) on complementary Si-CMOS ferroelectric field-effect-transistor memory. The deployment and acceleration of deep neural network and kernel regression on ACAM will also be presented.
URL:https://seasevents.nmsdev7.com/event/ese-phd-thesis-defense-compute-in-memory-on-emerging-memory-technology-from-device-to-algorithm/
LOCATION:Room 313\, Singh Center for Nanotechnology\, 3205 Walnut Street\, Philadelphia\, PA\, 19104\, United States
CATEGORIES:Dissertation or Thesis Defense
ORGANIZER;CN="Electrical and Systems Engineering":MAILTO:eseevents@seas.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20230530T100000
DTEND;TZID=America/New_York:20230530T113000
DTSTAMP:20260404T184543
CREATED:20230516T184126Z
LAST-MODIFIED:20230516T184126Z
UID:10007564-1685440800-1685446200@seasevents.nmsdev7.com
SUMMARY:MEAM Seminar: "Progress on Templates for Spined and Tailed Legged Robots"
DESCRIPTION:By mirroring the success of biological systems\, legged robots have the potential to be successful in almost every terrestrial environment. While legged machines have made significant advancements in the past 20 years\, there still exists a considerable gap between what they can achieve and the abilities of animals. In this talk I’ll discuss some of my recent work on exploring how internal degrees of freedom – spines and tails – can help to create more agile robots. First I’ll discuss my recent results showing how an internal degree of freedom can enable gravity to energize a simple hopping robot using a novel stepping strategy. I’ll present my formal analysis of the system which explains how the strategy controls the distribution of energy in an intuitive manner and present simulation and hardware results showing our robot hopping at speeds of up to 8.85 leg lengths per second. Next I’ll present some new work where I show how a coupled oscillator model\, traditionally used for studying vibrations\, can explain the role of a spine in trotting and bounding.
URL:https://seasevents.nmsdev7.com/event/meam-seminar-progress-on-templates-for-spined-and-tailed-legged-robots/
LOCATION:Room 337\, Towne Building\, 220 South 33rd Street\, Philadelphia\, PA\, 19104\, United States
CATEGORIES:Seminar
ORGANIZER;CN="Mechanical Engineering and Applied Mechanics":MAILTO:meam@seas.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20230526T113000
DTEND;TZID=America/New_York:20230526T133000
DTSTAMP:20260404T184543
CREATED:20230525T134556Z
LAST-MODIFIED:20230525T134556Z
UID:10007569-1685100600-1685107800@seasevents.nmsdev7.com
SUMMARY:BE Doctoral Dissertation Defense: "Design\, Modeling and Optimization of a Tape Spring Steerable Needle" (Omar Abdoun)
DESCRIPTION:The Department of Bioengineering at the University of Pennsylvania and Dr. Mark Yim are pleased to announce the doctoral dissertation defense of Omar Abdoun.\n\n\nTitle: DESIGN\, MODELING\, AND OPTIMIZATION OF A TAPE SPRING STEERABLE NEEDLE\n\nDate: 5/26\nTime: 11:30am\nLocation: 337 Towne Building\n\n Zoom is also an option. The Link Is below:\n\nOmar Abdoun is inviting you to a scheduled Zoom meeting. \n\nTopic: Omar Abdoun’s Thesis Defense\nTime: May 26\, 2023 11:30 AM Eastern Time (US and Canada)\n\nJoin Zoom Meeting\nhttps://pennmedicine.zoom.us/j/93855309212\n\nMeeting ID: 938 5530 9212
URL:https://seasevents.nmsdev7.com/event/be-doctoral-dissertation-defense-design-modeling-and-optimization-of-a-tape-spring-steerable-needle-omar-abdoun/
LOCATION:Towne 337
ORGANIZER;CN="Bioengineering":MAILTO:be@seas.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20230523T100000
DTEND;TZID=America/New_York:20230523T113000
DTSTAMP:20260404T184543
CREATED:20230516T181228Z
LAST-MODIFIED:20230516T181228Z
UID:10007563-1684836000-1684841400@seasevents.nmsdev7.com
SUMMARY:MEAM Seminar: "Addressing Sensitivity-Induced Challenges in Modeling Rigid-Body Systems with Frictional Impacts"
DESCRIPTION:Imperfect but useful physical models play a crucial role in planning and controlling robot locomotion and manipulation. However\, as the field shifts toward complex real-world applications\, model accuracy requirements are increasing while calibration data is becoming scarcer. Consequently\, model inaccuracy or the sim2real gap often hinders the development of performant robotics algorithms. Frictional contact\, the physical process driving these robotic tasks\, exacerbates this issue. The motion of robots touching their surroundings is highly sensitive to initial conditions and material properties. Thus\, even slight errors in state estimation and parameter identification can lead to significant prediction discrepancies. These challenges are amplified by the use of coarse rigid-body models\, rather than high-fidelity solid mechanics\, due to the faster-than-real-time computational requirements of robotics. \nIn this talk\, we present two advancements towards accurate modeling of robotics undergoing contact. In the former\, we discover how this sensitivity leads to poor training-time optimization landscapes and test-time generalization in common robotics modeling methods. Our method\, ContactNets\, circumvents both of these issues respectively with a novel statistics- and mechanics-inspired loss and implicit learning representations. ContactNets is capable of identifying geometric and frictional properties of an object rolling\, pivoting\, and sliding against its environment from just a handful of motion-captured trajectories. In the latter\, we attribute sensitivity to the rapid ordering or sequencing of impact forces in nearly-simultaneous collisions—such as heel and toe strikes during a foot step. As existing rigid-body models lack the fidelity and accuracy to predict this ordering\, we develop a set-valued rigid-body model which captures the set of all impact orderings as a continuous-time differential inclusion. We rigorously prove key theoretical properties of this model\, including existence of solutions.
URL:https://seasevents.nmsdev7.com/event/9125/
LOCATION:Room 337\, Towne Building\, 220 South 33rd Street\, Philadelphia\, PA\, 19104\, United States
CATEGORIES:Seminar
ORGANIZER;CN="Mechanical Engineering and Applied Mechanics":MAILTO:meam@seas.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20230516T100000
DTEND;TZID=America/New_York:20230516T100000
DTSTAMP:20260404T184543
CREATED:20230515T201739Z
LAST-MODIFIED:20230515T201739Z
UID:10007562-1684231200-1684231200@seasevents.nmsdev7.com
SUMMARY:Physics PhD Thesis Defense: "Characterization of Solid State Defect Systems For Quantum Computing\, Communication\, and Sensing"
DESCRIPTION:Solid state defects have emerged as a leading candidate for platforms in quantum computing\, communication\, and sensing. The electronic spins localized around these defects have many advantages such as room temperature coherence\, spin dependent optical transitions which enable visible-wavelength initialization and readout\, and resonant frequencies compatible with widely available off-the-shelf microwave hardware. Furthermore\, the nuclear spins coupled to these electronic spins provide additional quantum registers which can be used as long-lived memories\, ancilla qubits to enhance sensing and communication schemes based on the electronic spin\, or for general purpose computation. However\, unlike systems which are all identical\, such as trapped atoms\, or systems which are man-made\, such as superconducting circuits\, the formation and structure of defects\, as well as their coupled nuclear spins\, is stochastic and difficult to model using \textit{ab initio} methods. This thesis focuses on methods to efficiently and precisely characterize the properties of these systems. After presenting sufficient background for a general scientific audience\, a method is outlined for robustly and efficiently quantifying the optical properties of defect-based emitters\, even if the emitters are heterogeneous. We show how this method can be used to study treatment effects in novel systems\, such as hexagonal Boron Nitride (hBN)\, where a new class of defect-based emitters has been identified but proven difficult to characterize – largely due to the widely varying optical properties of emitters which are believed to arise from the same defect. We then describe the infrastructure developed within the laboratory to generate\, run\, and simulate the results of experiments such as those used in the remainder of the thesis. This is followed by an explanation of some of the state of the art techniques used to identify\, control\, and map the nuclear spins coupled to an electronic spin within a defect system. We then show how these techniques can be expanded to precisely measure the Hamiltonian parameters of a single nuclear spin – which opens the door to a new era where individual nuclear spins can be used to measure their environment and reveal information about the local molecular and crystal structure. Finally\, this thesis concludes with a brief discussion of the ongoing work and future directions inspired by the ideas and work presented in this thesis.
URL:https://seasevents.nmsdev7.com/event/physics-phd-thesis-defense-characterization-of-solid-state-defect-systems-for-quantum-computing-communication-and-sensing/
LOCATION:Towne 319\, 220 S. 33rd Street\, Philadelphia\, 19104\, United States
CATEGORIES:Dissertation or Thesis Defense
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20230515T120000
DTEND;TZID=America/New_York:20230515T140000
DTSTAMP:20260404T184543
CREATED:20230501T183043Z
LAST-MODIFIED:20230501T183043Z
UID:10007555-1684152000-1684159200@seasevents.nmsdev7.com
SUMMARY:Penn Engineering 2023 Commencement Open House
DESCRIPTION:Immediately following the University Ceremony\, Penn Engineering will host an Open House for the School’s returning graduates and their families throughout the first floors of the main Engineering complex. \nIncluded are photo booth opportunities\, a t-shirt giveaway (including a live t-shirt press!)\, and light refreshments. Department offices will also be open as a location for graduates and their loved ones to connect one last time with staff and faculty. Please join us! \nMore information\, including a map of departmental locations\, is available here.
URL:https://seasevents.nmsdev7.com/event/penn-engineering-2023-commencement-open-house/
CATEGORIES:Faculty,Doctoral,Graduate,Student,Master's,Commencement,Undergraduate,Staff
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20230513T140000
DTEND;TZID=America/New_York:20230513T160000
DTSTAMP:20260404T184543
CREATED:20230324T201525Z
LAST-MODIFIED:20230324T201525Z
UID:10007530-1683986400-1683993600@seasevents.nmsdev7.com
SUMMARY:Penn Engineering Commencement 2023: Undergraduate Ceremony
DESCRIPTION:Celebrate the Penn Engineering Undergraduate Class of 2023. Additional information is available on the Penn Engineering Commencement website.
URL:https://seasevents.nmsdev7.com/event/penn-engineering-commencement-2023-undergraduate-ceremony/
LOCATION:Palestra\, 223 South 33rd Street\, Philadelphia\, PA\, 19104\, United States
CATEGORIES:Faculty,Student,Alumni,Commencement,Undergraduate
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20230513T093000
DTEND;TZID=America/New_York:20230513T101500
DTSTAMP:20260404T184543
CREATED:20230504T134157Z
LAST-MODIFIED:20230504T134157Z
UID:10007559-1683970200-1683972900@seasevents.nmsdev7.com
SUMMARY:Penn Engineering Portrait Celebration in Honor of Ms. Cora Ingrum and Ms. Donna Hampton
DESCRIPTION:Dean Vijay Kumar invites members of the Penn Engineering community to attend the unveiling of commissioned portraits of: \nMs. Cora Ingrum \nby Patricia Watwood \nand \nMs. Donna Hampton\nby Ashon Crawley \nThere will be a breakfast reception to follow.
URL:https://seasevents.nmsdev7.com/event/penn-engineering-portrait-celebration-in-honor-of-ms-cora-ingrum-and-ms-donna-hampton/
LOCATION:Heilmeier Hall (Room 100)\, Towne Building\, 220 South 33rd Street\, Philadelphia\, PA\, 19104\, United States
CATEGORIES:Faculty,Doctoral,Graduate,Student,Master's,Alumni,Commencement,Undergraduate,Diversity, Equity and Inclusion,Staff
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20230512T140000
DTEND;TZID=America/New_York:20230512T163000
DTSTAMP:20260404T184543
CREATED:20230324T201232Z
LAST-MODIFIED:20230324T201232Z
UID:10007529-1683900000-1683909000@seasevents.nmsdev7.com
SUMMARY:Penn Engineering Commencement 2023: Master's Ceremony
DESCRIPTION:Celebrate the Penn Engineering 2023 Master’s Graduates. Additional information is available on the Penn Engineering Commencement website.
URL:https://seasevents.nmsdev7.com/event/penn-engineering-commencement-2023-masters-ceremony/
LOCATION:Palestra\, 223 South 33rd Street\, Philadelphia\, PA\, 19104\, United States
CATEGORIES:Faculty,Graduate,Student,Master's,Alumni,Commencement
END:VEVENT
END:VCALENDAR