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DTSTART:20180311T070000
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BEGIN:VEVENT
DTSTART;TZID=America/New_York:20190830T153000
DTEND;TZID=America/New_York:20190830T163000
DTSTAMP:20260408T152132
CREATED:20190814T140342Z
LAST-MODIFIED:20190814T140342Z
UID:10006264-1567179000-1567182600@seasevents.nmsdev7.com
SUMMARY:MEAM/LRSM Seminar: "Enabling Soft\, Flexible 2D Materials and Sensors"
DESCRIPTION:Low temperature synthesis of high quality 2D materials directly on flexible substrates remains a fundamental limitation towards realization of robust\, strainable electronics possessing the unique physical properties of atomically thin structures. Here\, we describe room temperature synthesis of uniform\, stoichiometric amorphous MoS2\, WSe2\, and other transition metal dichalcogenides and subsequent large area (>5 cm2) photonic crystallization to enable direct fabrication of devices based on two-dimensional materials on large area flexible or rigid substrates. Fundamentals of crystallization kinetics for different monolithic and heterostructured TMDs are examined to apply this new synthesis approach for affordable\, wearable devices. Example devices include photodetectors with photocurrent output and response times comparable to those fabricated via CVD and exfoliated materials on rigid substrates and the performance is unaffected by strains exceeding 5%. Flexible molecular sensors fabricated in this way detect diverse vapor phase substances with sub-ppm sensitivity. Functionalization of laser-written 2D TMD sensor transducers is also demonstrated for healthcare applications. Devices and circuits directly written from photonically annealed monolithic TMDs thin films deposited on large area flexible substrates\, with no photolithography or patterning\, are also presented. Additionally\, other advanced processing strategies that enable flexible 2D materials will be discussed\, including h-BN van der Waals liftoff of GaN HEMT devices for future strainable RF devices.
URL:https://seasevents.nmsdev7.com/event/meam-lrsm-seminar-enabling-soft-flexible-2d-materials-and-sensors/
LOCATION:Reading Room\, LRSM\, 3231 Walnut Street\, Philadelphia\, PA\, 19104\, United States
ORGANIZER;CN="Mechanical Engineering and Applied Mechanics":MAILTO:meam@seas.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20190830T140000
DTEND;TZID=America/New_York:20190830T160000
DTSTAMP:20260408T152132
CREATED:20190823T181025Z
LAST-MODIFIED:20190823T181025Z
UID:10006270-1567173600-1567180800@seasevents.nmsdev7.com
SUMMARY:CBE Doctoral Dissertation Defense: "Anisotropy and Aggregation in Self-Assembled Polymer Nanocomposites"
DESCRIPTION:Committee: Robert Riggleman\, PhD (co-advisor); Russell Composto\, PhD (co-advisor); Ravi Radhakrishan\, PhD; and Jeff Meth\, PhD
URL:https://seasevents.nmsdev7.com/event/cbe-doctoral-dissertation-defense-anisotropy-and-aggregation-in-self-assembled-polymer-nanocomposites/
LOCATION:Room 337\, Towne Building\, 220 South 33rd Street\, Philadelphia\, PA\, 19104\, United States
ORGANIZER;CN="Chemical and Biomolecular Engineering":MAILTO:cbemail@seas.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20190827T143000
DTEND;TZID=America/New_York:20190827T153000
DTSTAMP:20260408T152132
CREATED:20190820T190813Z
LAST-MODIFIED:20190820T190813Z
UID:10006266-1566916200-1566919800@seasevents.nmsdev7.com
SUMMARY:MEAM Seminar: "Small\, Autonomous\, Flying Robots that can Feel and Map their Environment"
DESCRIPTION:Autonomous flight through unknown environments in the presence of obstacles is a challenging problem for micro aerial vehicles (MAVs). A majority of the current state-of-art research focuses on modeling obstacles as opaque objects that can be easily sensed by optical sensors such as cameras or LiDARs. Since obstacles may not always be opaque\, particularly in indoor environments with glass walls and windows\, robots (like birds) have a difficult time navigating to the unknown environments. \nIn this thesis\, we describe the design\, modeling\, control and sensing for a new class of micro aerial vehicles that can navigate unknown environments and are robust to collisions. In particular\, we present the design of the Tiercel MAV: a small\, agile\, light weight\, collision-resistant robot powered by a cellphone grade CPU. The Tiercel is able to localize using a visual-inertial odometry (VIO) algorithm running on board the robot with a single downward facing wide angle camera. Next\, we characterize the effects of impacts and collisions on the visual-inertial odometry running on board the robot. We further develop the system architecture and components to enable the Tiercel to fly autonomously in an unknown space\, detect collisions using its on board IMU\, and leverage that information to build a 2D map of the environment. Finally\, we demonstrate the capability of a swarm of three Tiercel robots to navigate autonomously through an unknown\, obstacle ridden space while sustaining collisions with the environment. Finally\, our approach exploits contact to infer the presence of transparent or reflective obstacles like glass walls\, allowing us to naturally integrate touch with visual perception for SLAM.
URL:https://seasevents.nmsdev7.com/event/meam-summer-seminar-small-autonomous-flying-robots-that-can-feel-and-map-their-environment/
LOCATION:Room 307\, Levine Hall\, 3330 Walnut Street\, Philadelphia\, PA\, 19104\, United States
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20190820T103000
DTEND;TZID=America/New_York:20190820T120000
DTSTAMP:20260408T152132
CREATED:20190806T184018Z
LAST-MODIFIED:20190806T184018Z
UID:10006262-1566297000-1566302400@seasevents.nmsdev7.com
SUMMARY:MEAM Seminar: "Nano-compatible Neuromorphic Computers: An All-passive Approach to Neural Networks"
DESCRIPTION:This era of the internet of things is poised to experience explosive growth in the number of interconnected smart electronic devices. Machine learning algorithms\, such as neural networks\, are expected to play an indispensable role in analyzing the data gathered by these devices\, and in many cases\, will also facilitate informed device responses. However\, the prospect of connecting a billion devices to the cloud and implementing large-scale neural networks remotely is infeasible for applications such as autonomous driving\, implantable medical devices\, and robotic platforms\, that need the information to be processed speedily\, at a small power budget. To deliver these requirements\, it becomes necessary to equip devices with hardware that is optimized for neural network computations. For nanoscale implementations of such “neuromorphic” computers\, it is important to develop simple designs of constituent circuits so that the required architectural complexity can be achieved within the nanofabrication constraints. \nCurrent “neuromorphic” hardware designs typically utilize active circuits\, comprising of three-terminal devices\, to implement artificial neurons\, an approach that is not suitable for compact nanoscale implementations. In this talk\, we will show\, how all-passive circuits for artificial neurons\, comprising of two-terminal devices only\, can instead address these drawbacks effectively. We will introduce simple circuit representations of artificial synapses and discuss how these enable improved memory-efficiencies vis – a – vis contemporary designs. By combining the passive neurons and synapses in network configurations\, we will demonstrate how all-passive neuromorphic computers can perform complex pattern recognition tasks\, such as identifying numerical digits from their images\, with accuracies greater than 95%. The classification accuracies\, power consumption and areal footprint of all – passive neuromorphic computers will be compared to those of the state – of – the – art technology. On the fabrication front\, we will introduce simple methods for realizing re-programmable and once-programmable artificial synapses and delve into their operational attributes. Simple electrochemical deposition techniques for fabricating neurons will also be presented. The results of this work will promote new approaches to the design and fabrication of integrated nanoscale neuromorphic computers.
URL:https://seasevents.nmsdev7.com/event/meam-seminar-nano-compatible-neuromorphic-computers-an-all-passive-approach-to-neural-networks/
LOCATION:Room 337\, Towne Building\, 220 South 33rd Street\, Philadelphia\, PA\, 19104\, United States
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20190816T100000
DTEND;TZID=America/New_York:20190816T120000
DTSTAMP:20260408T152132
CREATED:20190722T204450Z
LAST-MODIFIED:20190722T204450Z
UID:10006243-1565949600-1565956800@seasevents.nmsdev7.com
SUMMARY:CBE Doctoral Thesis Defense: "Utilization of Mems Techniques for the Fabrication of Scalable Energy Storage Devices"
DESCRIPTION:Committee: Sue Ann Bidstrup Allen\, Advisor; Raymond Gorte\, John Vohs and Mark Allen
URL:https://seasevents.nmsdev7.com/event/cbe-doctoral-thesis-defense-utilization-of-mems-techniques-for-the-fabrication-of-scalable-energy-storage-devices/
LOCATION:Glandt Forum\, Singh Center for Nanotechnology\, 3205 Walnut Street\, Philadelphia\, PA\, 19104\, United States
CATEGORIES:Doctoral,Student,Dissertation or Thesis Defense
ORGANIZER;CN="Chemical and Biomolecular Engineering":MAILTO:cbemail@seas.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20190816T100000
DTEND;TZID=America/New_York:20190816T113000
DTSTAMP:20260408T152132
CREATED:20190529T133703Z
LAST-MODIFIED:20190529T133703Z
UID:10006228-1565949600-1565955000@seasevents.nmsdev7.com
SUMMARY:CBE Doctoral Dissertation Defense: "Utilization of MEMS Techniques for the Fabrication of Scalable Energy Storage Devices"
DESCRIPTION:Committee Members: Sue Ann Bidstrup Allen\, Advisor; Raymond Gorte\, John Vohs and Mark Allen.
URL:https://seasevents.nmsdev7.com/event/cbe-doctoral-dissertation-defense-utilization-of-mems-techniques-for-the-fabrication-of-scalable-energy-storage-devices/
LOCATION:Glandt Forum\, Singh Center for Nanotechnology\, 3205 Walnut Street\, Philadelphia\, PA\, 19104\, United States
CATEGORIES:Doctoral,Student,Dissertation or Thesis Defense
ORGANIZER;CN="Chemical and Biomolecular Engineering":MAILTO:cbemail@seas.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20190815T103000
DTEND;TZID=America/New_York:20190815T120000
DTSTAMP:20260408T152132
CREATED:20190801T194536Z
LAST-MODIFIED:20190801T194536Z
UID:10006254-1565865000-1565870400@seasevents.nmsdev7.com
SUMMARY:MEAM Seminar: “Delivering Expressive and Personalized Fingertip Haptic Cues”
DESCRIPTION:The importance of meaningful tactile experiences has become increasingly apparent in areas such as teleoperation\, education\, and gaming. As the applications of rendering haptic stimuli are growing\, so are the requirements of haptic interfaces\, in that the intended audience is becoming more diverse and the intended interactions are becoming more complicated. For the past few decades there has been a consistent effort to improve the range and realism of haptic cues\, yet typical haptic rendering continues to be one-size-fits-all and low-dimensional. To render increasingly realistic haptic cues\, we must focus on both expressiveness and personalization. \nIn this talk I will present work towards delivering more expressive and personalized fingertip haptic cues from the perspective of both mechanical design and rendering approach. I will first present the Fuppeteer\, a parallel continuum manipulator that can move a flat surface around the fingertip with six degrees of freedom. This wearable device can provide combinations of normal and shear forces across the user’s entire fingertip\, regardless of finger shape and size. We have evaluated system performance through force measurements and through a human-subject study. This talk will also feature ongoing development of algorithms for delivering personalized sensed cues\, independent of the specific haptic device and remote sensor used. I will discuss both geometric and data-driven approaches\, and I will provide preliminary measurements of the rendering error generated by each method.
URL:https://seasevents.nmsdev7.com/event/meam-seminar-delivering-expressive-and-personalized-fingertip-haptic-cues/
LOCATION:Room 337\, Towne Building\, 220 South 33rd Street\, Philadelphia\, PA\, 19104\, United States
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20190814T100000
DTEND;TZID=America/New_York:20190814T120000
DTSTAMP:20260408T152132
CREATED:20190730T155059Z
LAST-MODIFIED:20190730T155059Z
UID:10006253-1565776800-1565784000@seasevents.nmsdev7.com
SUMMARY:MEAM Doctoral Dissertation Defense: "Additive Manufacturing and Mechanical Properties of Cellulose Nanofibril Materials"
DESCRIPTION:Cellulose nanofibrils (CNFs) are a nanomaterial derived from plants that have high specific stiffness and strength\, can be made into optically transparent materials\, and are biodegradable. These properties make CNFs an attractive building block for bulk structural materials. However\, CNFs are typically produced in aqueous suspension at low CNF weight fractions (<1 wt.%)\, which makes manufacturing bulk CNF materials challenging due to long processing times and the development of significant residual stresses during drying. As a result\, applications of CNFs in structural materials are currently limited to thin films and their use as low concentration reinforcement in composite materials. The objective of this dissertation is to overcome current limitations in building neat CNF materials by using additive manufacturing approaches to print films from aqueous CNF solutions with controlled fiber orientation and to build bulk structures with mm-scale thicknesses and enhanced mechanical properties. \nThis dissertation reports the use of two additive manufacturing techniques\, direct ink writing and laminated object manufacturing\, to fabricate neat CNF thin films with controlled orientation and materials with millimeter-scale dimensions\, respectively. The orientation of the CNFs in the printed films and the mechanical properties of the films and laminated CNF materials were experimentally characterized. Orientation in the printed CNF films was found to be controlled by the drying mechanics\, and a correlation between orientation and stiffness was observed. The multi-ply CNF films and laminated bulk beams with thicknesses of up to 0.6 mm were found to have comparable stiffness and strength and increased toughness compared to single-layer CNF films. Key contributions of this dissertation include the development of a printing process to decrease the time to fabricate CNF films\, a demonstration and a mechanics-based understanding of the control of fiber orientation in printed CNF materials\, and a new process to realize bulk neat CNF materials with increased thickness and enhanced toughness.
URL:https://seasevents.nmsdev7.com/event/meam-doctoral-dissertation-defense-additive-manufacturing-and-mechanical-properties-of-cellulose-nanofibril-materials/
LOCATION:Room 337\, Towne Building\, 220 South 33rd Street\, Philadelphia\, PA\, 19104\, United States
ORGANIZER;CN="Mechanical Engineering and Applied Mechanics":MAILTO:meam@seas.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20190813T103000
DTEND;TZID=America/New_York:20190813T120000
DTSTAMP:20260408T152132
CREATED:20190808T140550Z
LAST-MODIFIED:20190808T140550Z
UID:10006263-1565692200-1565697600@seasevents.nmsdev7.com
SUMMARY:MEAM Seminar: "Mechanical Models for DNA"
DESCRIPTION:We will discuss two complementary mechanical models for DNA that deal with\, respectively two problems: one\, phase transitions in a DNA molecule\, and two\, allosteric interactions between two ligands bound to DNA. \nExperimental studies on single molecules of DNA have reported a rich variety of cooperative structural transitions\, including coexistence of three phases\, when a torsionally constrained DNA molecule is pulled using magnetic or optical tweezers. Our objective is to examine the aforementioned structural transitions using ideas from statistical mechanics and the theory of elasticity. We use foundational concepts from the Zimm-Bragg helix-coil transition theory and merge them with ideas from the theory of fluctuating elastic rods to model the mechanics of DNA. Furthermore\, we use Poisson-Boltzmann to account for the electrostatic interactions between the ions and the negatively charged phosphate backbone of DNA. Using our model\, we calculate the force and torque corresponding to the over-stretching transition characterized by a 70% jump in the contour length of the molecule and examine the effect of salt concentration on this transition. \nIn the next part\, we present a mechanical model for computing the allosteric interaction energy between two ligands on DNA. This interaction is quantified by measuring the change in free energy as a function of the distance between the binding sites for two ligands. We show that trends in the interaction energy of two ligands binding to DNA can be explained using an elastic birod model which accounts for the elastic deformation of strands and base-pairs as well as the change in stacking energy due to perturbations in position and orientation of the bases caused by the binding of ligands. The strain fields produced by the ligands decay with distance from the binding site. The interaction energy of two ligands decays exponentially with the distance between them and oscillates with the periodicity of the double helix in quantitative agreement with experimental measurements. The trend in the computed interaction energy is similar to that in the perturbation of groove width produced by the binding of a single ligand which is consistent with molecular simulations. Our analysis provides a new framework to understand allosteric interactions in DNA and can be extended to other rod-like macromolecules whose elasticity plays a role in biological functions. \nThe results from our model are in agreement with multiple experiments documented in the literature and they generate new falsifiable predictions that can be experimentally tested.
URL:https://seasevents.nmsdev7.com/event/meam-seminar-mechanical-models-for-dna/
LOCATION:Room 337\, Towne Building\, 220 South 33rd Street\, Philadelphia\, PA\, 19104\, United States
ORGANIZER;CN="Mechanical Engineering and Applied Mechanics":MAILTO:meam@seas.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20190808T120000
DTEND;TZID=America/New_York:20190808T140000
DTSTAMP:20260408T152132
CREATED:20190722T172656Z
LAST-MODIFIED:20190722T172656Z
UID:10006242-1565265600-1565272800@seasevents.nmsdev7.com
SUMMARY:BE Doctoral Dissertation Defense: "Multi-scale Brain Responses in the Development of Persistent Osteoarthritic Temporomandibular Pain"
DESCRIPTION:The Department of Bioengineering at the University of Pennsylvania and Drs. Eric Granquist and Beth Winkelstein are pleased to announce the Doctoral Dissertation Defense of Megan Sperry. The public is welcome to attend.
URL:https://seasevents.nmsdev7.com/event/be-doctoral-dissertation-defense-multi-scale-brain-responses-in-the-development-of-persistent-osteoarthritic-temporomandibular-pain/
LOCATION:Room 337\, Towne Building\, 220 South 33rd Street\, Philadelphia\, PA\, 19104\, United States
CATEGORIES:Doctoral,Student,Dissertation or Thesis Defense
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20190807T130000
DTEND;TZID=America/New_York:20190807T150000
DTSTAMP:20260408T152132
CREATED:20190805T190801Z
LAST-MODIFIED:20190805T190801Z
UID:10006255-1565182800-1565190000@seasevents.nmsdev7.com
SUMMARY:BE Doctoral Dissertation Defense: "Informing Neuromodulation Therapies with a Control-Theory Approach to Brain Network Plasticity"
DESCRIPTION:The Department of Bioengineering at the University of Pennsylvania and Dr. Dani Bassett are pleased to announce the Doctoral Dissertation Defense of Andrew Murphy. \nThe public is welcome to attend.
URL:https://seasevents.nmsdev7.com/event/doctoral-be-dissertation-defense-informing-neuromodulation-therapies-with-a-control-theory-approach-to-brain-network-plasticity/
LOCATION:Raisler Lounge (Room 225)\, Towne Building\, 220 South 33rd Street\, Philadelphia\, PA\, 19104\, United States
CATEGORIES:Doctoral,Student,Dissertation or Thesis Defense
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20190806T103000
DTEND;TZID=America/New_York:20190806T120000
DTSTAMP:20260408T152132
CREATED:20190722T132446Z
LAST-MODIFIED:20190722T132446Z
UID:10006241-1565087400-1565092800@seasevents.nmsdev7.com
SUMMARY:MEAM Seminar: "From Elder Care Service Robots to the Design of Low-Cost End-Effectors and Novel Manipulation Techniques"
DESCRIPTION:Older adults are forming a much larger percentage of the population leading to a strain in the healthcare sector. It is expected that the population aged 65 and over in the United States alone will double in the next 30 years\, and similarly worldwide. Despite abundance of the facilities to accommodate the growing older adult population\, there is a shortage of caregivers to staff these facilities. With the scarcity of care options available\, low-cost robots may be a creative and vastly accessible solution for simple mobile and manipulation tasks that would normally be handled by a caregiver. \nThis work proposes an investigation on both behavioral and technical aspects of human robot interaction in elder care settings\, in view of a low-cost platform capable of executing desired tasks. The behavioral investigation combines a qualitative study with focus groups and surveys from not only the elders’ standpoint\, but also from the standpoint of healthcare professionals to investigate suitable tasks to be accomplished by a service robot in such environment. Through multiple deployments of the robot at actual elder care facilities (such as at a low-income Supportive Apartment Living\, SAL) and interaction with older adults\, design guidelines are developed to improve on both interaction and usability aspects. The technical investigation proposes novel manipulation techniques and end-effector design focusing on minimizing hardware usage and cost\, in addition to comply with safety constraints imposed by elder care facilities. Object picking through in-hand manipulation using custom-made end-effectors with no internal mobility (or zero degrees-of-freedom\, DOF) is proposed. The resulting operation incorporates tipping and regrasping as in-hand manipulation operations. The lack of mobility is advantageous as no active forces can be applied directly to the object by the end-effector\, and so the manipulated item be safely placed or removed by humans interacting with the robot\, a desirable feature for manipulation tasks especially in elder care settings.
URL:https://seasevents.nmsdev7.com/event/meam-seminar-from-elder-care-service-robots-to-the-design-of-low-cost-end-effectors-and-novel-manipulation-techniques/
LOCATION:Room 337\, Towne Building\, 220 South 33rd Street\, Philadelphia\, PA\, 19104\, United States
ORGANIZER;CN="Mechanical Engineering and Applied Mechanics":MAILTO:meam@seas.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20190723T103000
DTEND;TZID=America/New_York:20190723T120000
DTSTAMP:20260408T152132
CREATED:20190715T134344Z
LAST-MODIFIED:20190715T134344Z
UID:10006240-1563877800-1563883200@seasevents.nmsdev7.com
SUMMARY:MEAM Seminar: "Microscale Robotic Wetware for Synthetic Biology"
DESCRIPTION:Small-scale robotic systems have emerged as promising tools to perform a wide-range of tasks in microbiology and medicine such as targeted delivery\, cell manipulation\, environmental monitoring\, and microassembly. In order to perform these tasks\, the robot must execute precise locomotion\, take measurements from its environment\, and use those measurements to make decisions. However\, unlike their macroscale counterparts\, microrobots typically lack intelligence on-board and are composed of simple microstructures which are driven using off-board hardware and software. Thus\, small-scale actuators\, sensors\, computation\, and communication modules are needed in order to develop intelligent\, fully functional microrobots. \nConcurrently with the field of microrobotics\, synthetic biology has developed tools to design microorganisms to exhibit desired behaviors (e.g. sensing\, communication\, and decision-making). This talk will highlight a new paradigm for microrobot design and fabrication. Our approach uniquely hinges on biofabrication\, or making things from living things\, in order to create programmable biohybrid robots composed of both biological and synthetic materials. We design robot architectures that enable interfaces between biological cells and hardware giving rise to robots composed of living material\, or robotic wetware. In particular\, we will discuss our development of magnetically actuated soft micro bio robots (SMBRs) composed of natural hydrogels\, which encapsulate and transport programmable living cells\, while supporting cell growth and function on-board. By encapsulating cells\, SMBRs can serve as individual cellular culture payloads or biofoundries in which cells\, DNA vectors\, and cellular byproducts are manufactured on-board and delivered to the environment. These results establish multi-functional robots that can be used as delivery vehicles for medical therapies\, assistants for microbiological experiments\, or building blocks for smart materials.
URL:https://seasevents.nmsdev7.com/event/meam-seminar-microscale-robotic-wetware-for-synthetic-biology/
LOCATION:Moore 216\, 200 S. 33rd Street\, Philadelphia\, PA\, 19104\, United States
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20190716T140000
DTEND;TZID=America/New_York:20190716T160000
DTSTAMP:20260408T152132
CREATED:20190712T205435Z
LAST-MODIFIED:20190712T205435Z
UID:10006239-1563285600-1563292800@seasevents.nmsdev7.com
SUMMARY:CBE Doctoral Dissertation Defense: "Polymer Infiltration Under Extreme Confinement"
DESCRIPTION:Committee: Daeyeon Lee and Robert A. Riggleman\, Co-advisors; Ravi Radhakrishnan and Zahra Fakhraai
URL:https://seasevents.nmsdev7.com/event/cbe-doctoral-dissertation-defense-polymer-infiltration-under-extreme-confinement-2/
LOCATION:Greenberg Lounge (Room 114)\, Skirkanich Hall\, 210 South 33rd Street\, Philadelphia\, PA\, 19104\, United States
CATEGORIES:Doctoral,Student,Dissertation or Thesis Defense
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20190716T103000
DTEND;TZID=America/New_York:20190716T120000
DTSTAMP:20260408T152132
CREATED:20190705T150515Z
LAST-MODIFIED:20190705T150515Z
UID:10006236-1563273000-1563278400@seasevents.nmsdev7.com
SUMMARY:MEAM Seminar: "A Multi-Scale Homogenization Model for the Viscoplastic Response of Polar and Sea Ice"
DESCRIPTION:The rheology of polar ice evolves in response to weather and climate changes\, by modifying its microstructure. While the experimental evidence for the dependence of rheological properties on the microstructure is well documented\, there are only a few modeling efforts to capture the rheological behavior of polar ice\, mostly by fitting continuum models to the existing experimental data. However\, for the rapidly changing polar and sea ice\, we need a predictive model to forecast the behavior of polar ice in the future\, for which we might not have any experimental data. In this work\, we put forth a multi-scale homogenization model for the viscoplastic response of polar and sea ice\, by incorporating important microstructural features. \nIn the Arctic\, sea water freezes to form a layer of sea ice\, a multi-phase composite\, up to a few meters thick\, with a complex microstructure spanning several length scales. At the smaller length scales\, sea ice is a porous polycrystal with columnar grains\, with brine-air inclusions embedded inside the grains or dispersed along the grain boundaries. This work presents a multi-scale constitutive response for sea ice by idealizing it as a three-scale composite where the brine-air inclusions are embedded inside a polycrystalline matrix composed of columnar grains. The results from our model match with published experimental data\, by\, most importantly\, capturing the compressibility effects of brine-air inclusions. \nIn Antarctica ice sheets with a typical thickness of 1-3km\, as the snow accumulates on the surface of the ice sheet\, the snow beneath the top layer is densified and is eventually transformed into the ice with trapped air bubbles—bubbly ice. The size\, shape and volume fraction of these air bubbles have a profound impact on the rheological response of the ice. In addition\, bubble shape could also be used as strain-indicators in glaciers. We develop a multi-scale homogenization model for the constitutive response of bubbly-ice by treating it as a three-phase polycrystalline composite\, where pressurized bubbles are embedded inside the polycrystalline matrix. The model predicts that microstructural textures developed in response to different loading conditions significantly influence the macroscopic response.
URL:https://seasevents.nmsdev7.com/event/meam-seminar-a-multi-scale-homogenization-model-for-the-viscoplastic-response-of-polar-and-sea-ice/
LOCATION:Moore 216\, 200 S. 33rd Street\, Philadelphia\, PA\, 19104\, United States
ORGANIZER;CN="Mechanical Engineering and Applied Mechanics":MAILTO:meam@seas.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20190715T100000
DTEND;TZID=America/New_York:20190715T120000
DTSTAMP:20260408T152132
CREATED:20190710T141943Z
LAST-MODIFIED:20190710T141943Z
UID:10006238-1563184800-1563192000@seasevents.nmsdev7.com
SUMMARY:CBE Doctoral Defense: "Alternating Multi-block Polyethylenes with Associating Groups: Self-Assembled Nanoscale Morphologies and Ion Transport"
DESCRIPTION:Committee: Karen Winey\, Advisor; Daeyeon Lee\, Robert Riggleman and Chinedum Osuji
URL:https://seasevents.nmsdev7.com/event/cbe-doctoral-defense-alternating-multi-block-polyethylenes-with-associating-groups-self-assembled-nanoscale-morphologies-and-ion-transport/
LOCATION:Raisler Lounge (Room 225)\, Towne Building\, 220 South 33rd Street\, Philadelphia\, PA\, 19104\, United States
CATEGORIES:Doctoral,Student,Dissertation or Thesis Defense
ORGANIZER;CN="Chemical and Biomolecular Engineering":MAILTO:cbemail@seas.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20190715T100000
DTEND;TZID=America/New_York:20190715T120000
DTSTAMP:20260408T152132
CREATED:20190702T140426Z
LAST-MODIFIED:20190702T140426Z
UID:10006235-1563184800-1563192000@seasevents.nmsdev7.com
SUMMARY:CBE Doctoral Dissertation Defense: "Alternating Multiblock Polyethylenes with Associating Groups: Self-Assembled Nanoscale Morphologies and Ion Transport"
DESCRIPTION:Thesis Committee: Karen Winey\, Advisor; Daeyeon Lee\, Robert Riggleman and Chinedum Osuji
URL:https://seasevents.nmsdev7.com/event/cbe-doctoral-dissertation-defense-alternating-multiblock-polyethylenes-with-associating-groups-self-assembled-nanoscale-morphologies-and-ion-transport/
LOCATION:Raisler Lounge (Room 225)\, Towne Building\, 220 South 33rd Street\, Philadelphia\, PA\, 19104\, United States
CATEGORIES:Doctoral,Student,Dissertation or Thesis Defense
ORGANIZER;CN="Chemical and Biomolecular Engineering":MAILTO:cbemail@seas.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20190709T103000
DTEND;TZID=America/New_York:20190709T113000
DTSTAMP:20260408T152132
CREATED:20190708T195150Z
LAST-MODIFIED:20190708T195150Z
UID:10006237-1562668200-1562671800@seasevents.nmsdev7.com
SUMMARY:BE Seminar: Next Generation Orthobiologics:  Advanced Growth Factor and Biomaterials Engineering
DESCRIPTION:The standard of care for augmenting surgical bone repair or regeneration remains bone graft harvested from the patient despite a lack of sufficient quantity or quality of graft in many clinical cases.  Bone morphogenetic protein (BMP) therapeutics have been successfully developed and commercially marketed as substitutes for bone graft.  Although the clinical success of BMP\, especially in spinal fusion\, is well-documented\, safety issues related to the required therapeutic dose\, sub-optimal delivery and off-label use have generated substantial controversy.  To address these issues and develop a next generation BMP product with improved efficacy and safety\, we designed a series of novel recombinant human chimeric proteins with enhanced binding affinities to key cellular receptors involved in bone formation.  In parallel\, a novel biomaterial scaffold was developed to improve the local retention time of these “designer” BMPs and reduce the risk of adverse events.  Through this combination of protein engineering and specialized biomaterial development\, large animal studies have demonstrated efficacy at substantially lower doses than those required with existing BMP products and the potential to provide a safer and more effective option for surgeons and patients.
URL:https://seasevents.nmsdev7.com/event/be-seminar-next-generation-orthobiologics-advanced-growth-factor-and-biomaterials-engineering/
LOCATION:Class of 62 Auditorium\, John Morgan Building\, 3620 Hamilton Walk\, Philadelphia\, PA\, 19104
CATEGORIES:Seminar
ORGANIZER;CN="Bioengineering":MAILTO:be@seas.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20190626T153000
DTEND;TZID=America/New_York:20190626T170000
DTSTAMP:20260408T152132
CREATED:20190624T193409Z
LAST-MODIFIED:20190624T193409Z
UID:10006234-1561563000-1561568400@seasevents.nmsdev7.com
SUMMARY:MEAM Seminar: "Effect of Nanoparticle Size on the Mechanical Properties of Nanoparticle (NP) Assemblies"
DESCRIPTION:Nanoparticle assemblies (NPAs) have attracted tremendous interests of various research communities. The particle-size-effect on mechanical properties of NPAs is systematically studied. With decreasing the particle size d from 300 nm to 10 nm\, the SiO2 NPAs become drastically harder (∼39×)\, stiffer (∼15×)\, and tougher (>3.5×). The results are consistent with the data scattered in the literature for various nanoparticle (NP) systems\, indicating a fundamentally universal d-effect for all NPAs. A model is developed to correlate the hardness and the NP junction (NPJ) strength f. Here\, f is mainly due to van der Waals and capillary interactions\, roughly a constant (140 nN) for d = 100–300 nm\, and then f decreases with decreasing d from ∼100 nm. The deformation mechanism of NPAs (for indentation depth ≫d) is shear plasticity involving shear breaking of NPJs. The fundamental mechanism for the d-effect is that\, with decreasing d\, the NPJ’s planar density increases much faster than the decrease of f. Moreover\, three deformation mechanisms of NPAs\, (1) nanoparticle dislodging\, (2) shear-band formation\, and (3) cracking are naturally d-dependent. These new findings can provide important insights into the fundamental understanding of the inter-NP interaction\, the mechanical behavior of the NPAs\, and the design of robust NP-based devices. If time allows\, as an independent topic\, the experimental characterization of freestanding membrane will also be briefly discussed.
URL:https://seasevents.nmsdev7.com/event/meam-seminar-effect-of-nanoparticle-size-on-the-mechanical-properties-of-nanoparticle-np-assemblies/
LOCATION:Moore 212
ORGANIZER;CN="Mechanical Engineering and Applied Mechanics":MAILTO:meam@seas.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20190625T103000
DTEND;TZID=America/New_York:20190625T120000
DTSTAMP:20260408T152132
CREATED:20190610T205631Z
LAST-MODIFIED:20190610T205631Z
UID:10006233-1561458600-1561464000@seasevents.nmsdev7.com
SUMMARY:MEAM Seminar: “Thermalization of Bulk Magnetic Materials in Spin-Lattice Dynamics Simulations”
DESCRIPTION:Spin-lattice dynamics (SLD)\, an increasingly popular simulation method which simultaneously computes both atomic displacements and spins\, offer new possibilities for modeling the temporal evolution of systems where the coupling between these atomic features are relevant such as spin caloritronics\, heat assisted magnetic recording\, magnetocaloric responses and magnetic nanoparticle hyperthermia. To accurately model and understand these magnetic materials\, SLD must capture spin-spin and spin-lattice interactions in a physically meaningful way. Recent work indicates that including a local magnetic anisotropy term in SLD simulations may be necessary to appropriately couple the magnetic spins to the atomic system to allow for thermal transport between the systems. A key obstacle to the adoption of this term is the lack of knowledge of its parameters for a broad range of materials. Ab initio calculations can obtain these parameters\, but these calculations are limited by energy scales\, system size and computational cost. A new framework using bulk experimental properties is introduced to obtain these parameters which avoids some or all of these challenges of the ab initio method. Results from this framework are discussed for iron along with the validation procedure for the found parameters.
URL:https://seasevents.nmsdev7.com/event/meam-seminar-thermalization-of-bulk-magnetic-materials-in-spin-lattice-dynamics-simulations/
LOCATION:Moore 216\, 200 S. 33rd Street\, Philadelphia\, PA\, 19104\, United States
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20190618T103000
DTEND;TZID=America/New_York:20190618T120000
DTSTAMP:20260408T152132
CREATED:20190607T134252Z
LAST-MODIFIED:20190607T134252Z
UID:10006231-1560853800-1560859200@seasevents.nmsdev7.com
SUMMARY:MEAM Seminar: "Machine Learning for Robotics: Achieving Safety\, Performance and Reliability by Combining Models and Data in a Closed-Loop System Architecture"
DESCRIPTION:The ultimate promise of robotics is to design devices that can physically interact with the world. To date\, robots have been primarily deployed in highly structured and predictable environments. However\, we envision the next generation of robots (ranging from self-driving and -flying vehicles to robot assistants) to operate in unpredictable and generally unknown environments alongside humans. This challenges current robot algorithms\, which have been largely based on a-priori knowledge about the system and its environment. While research has shown that robots are able to learn new skills from experience and adapt to unknown situations\, these results have been limited to learning single tasks\, and demonstrated in simulation or lab settings. The next challenge is to enable robot learning in real-world application scenarios. This will require versatile\, data-efficient and online learning algorithms that guarantee safety when placed in a closed-loop system architecture. It will also require to answer the fundamental question of how to design learning architectures for dynamic and interactive agents. This talk will highlight our recent progress in combining learning methods with formal results from control theory. By combining models with data\, our algorithms achieve adaptation to changing conditions during long-term operation\, data-efficient multi-robot\, multi-task transfer learning\, and safe reinforcement learning. We demonstrate our algorithms in vision-based off-road driving and drone flight experiments\, as well as on mobile manipulators.
URL:https://seasevents.nmsdev7.com/event/meam-seminar-machine-learning-for-robotics-achieving-safety-performance-and-reliability-by-combining-models-and-data-in-a-closed-loop-system-architecture/
LOCATION:Moore 216\, 200 S. 33rd Street\, Philadelphia\, PA\, 19104\, United States
ORGANIZER;CN="Mechanical Engineering and Applied Mechanics":MAILTO:meam@seas.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20190611T103000
DTEND;TZID=America/New_York:20190611T120000
DTSTAMP:20260408T152132
CREATED:20190607T135743Z
LAST-MODIFIED:20190607T135743Z
UID:10006232-1560249000-1560254400@seasevents.nmsdev7.com
SUMMARY:MEAM Seminar: "Hierarchical Task-Parameterized Learning from Demonstration "
DESCRIPTION:Many modern humanoid robots are designed to operate in human environments\, like homes and hospitals. Such robots could help humans accomplish tasks and lower their physical and/or mental workload. However\, robot users in homes and hospitals typically are not familiar with robotics or programming\, therefore it is difficult for them to adapt robots to their specific needs and environments. To remedy this situation\, many researchers turn to learning from demonstration (LfD)\, which enables a robot to emulate natural human movement as opposed to having an operator devise control policies and reprogram the robot for every new situation it encounters. \nWe suggest a hierarchical LfD structure of task-parameterized models\, particularly for object movement tasks that are ubiquitous in everyday life and could benefit from robotic support. Inspired by the task-parameterized Gaussian mixture model (TP-GMM) algorithm\, we develop the hierarchical structure and explicitly utilize task parameters to maximize the expected performance in a new situation from a few demonstrated situations. The robot can thus determine when it should request new demonstrations when the expected performance is too low. Other advantages of our approach include that a wider range of task situations can be modeled in the same framework without deteriorating performance and that adding or removing demonstrations incurs low computational load\, and thus the robot’s skill library can be built incrementally. We show these advantages in a simulated task and in the real world where naïve participants collaborated with a Willow Garage PR2 robot to move a handheld object. For most tested scenarios our hierarchical method achieved significantly better task performance and subjective ratings than both a passive model with only gravity compensation and a single TP-GMM encoding all demonstrations.
URL:https://seasevents.nmsdev7.com/event/meam-seminar-hierarchical-task-parameterized-learning-from-demonstration/
LOCATION:Moore 216\, 200 S. 33rd Street\, Philadelphia\, PA\, 19104\, United States
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20190610T110000
DTEND;TZID=America/New_York:20190610T120000
DTSTAMP:20260408T152132
CREATED:20190604T160021Z
LAST-MODIFIED:20190604T160021Z
UID:10006230-1560164400-1560168000@seasevents.nmsdev7.com
SUMMARY:NSF CAREER Awards Workshop
DESCRIPTION:
URL:https://seasevents.nmsdev7.com/event/nsf-career-awards-workshop/
LOCATION:Wu and Chen Auditorium (Room 101)\, Levine Hall\, 3330 Walnut Street\, Philadelphia\, PA\, 19104\, United States
CATEGORIES:Panel Discussion
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20190610T103000
DTEND;TZID=America/New_York:20190610T123000
DTSTAMP:20260408T152132
CREATED:20190530T153821Z
LAST-MODIFIED:20190530T153821Z
UID:10006229-1560162600-1560169800@seasevents.nmsdev7.com
SUMMARY:CBE Doctoral Dissertation Defense: "Improving Performance of Infiltrated SOFC Cathodes via Scaffold Engineering and Catalyst Surface Engineering"
DESCRIPTION:Committee Members: Raymond J. Gorte and John M. Vohs\, Co-Advisors; Aleksandra Vojvodic and Donald Berry.
URL:https://seasevents.nmsdev7.com/event/cbe-doctoral-dissertation-defense-improving-performance-of-infiltrated-sofc-cathodes-via-scaffold-engineering-and-catalyst-surface-engineering/
LOCATION:Room 337\, Towne Building\, 220 South 33rd Street\, Philadelphia\, PA\, 19104\, United States
CATEGORIES:Doctoral,Student,Dissertation or Thesis Defense
ORGANIZER;CN="Chemical and Biomolecular Engineering":MAILTO:cbemail@seas.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20190605T100000
DTEND;TZID=America/New_York:20190605T120000
DTSTAMP:20260408T152132
CREATED:20190523T153134Z
LAST-MODIFIED:20190523T153134Z
UID:10006225-1559728800-1559736000@seasevents.nmsdev7.com
SUMMARY:Doctoral Dissertation Defense: "Method of MRI-Based Assessment of Cortical Bone Matrix and Mineral Properties in a Clinical Setting”
DESCRIPTION:The Department of Bioengineering at the University of Pennsylvania and Drs. Hee Kwon Song & Felix Wehrli are pleased to announce the Doctoral Dissertation Defense of Xia Zhao. This event is open to the public. \n  \nLarge conference room\, 1st floor Founders Building\, MRI Education Center\, Department of Radiology\, 3400 Spruce Street
URL:https://seasevents.nmsdev7.com/event/doctoral-dissertation-defense-method-of-mri-based-assessment-of-cortical-bone-matrix-and-mineral-properties-in-a-clinical-setting/
LOCATION:Founders Building\, 3400 Spruce Street
CATEGORIES:Doctoral,Student,Dissertation or Thesis Defense
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20190530T100000
DTEND;TZID=America/New_York:20190530T120000
DTSTAMP:20260408T152132
CREATED:20190528T191603Z
LAST-MODIFIED:20190528T191603Z
UID:10006227-1559210400-1559217600@seasevents.nmsdev7.com
SUMMARY:CBE Doctoral Dissertation Defense: "Insights for catalyst design: A systematic investigation of the morphological dependence of catalytic and photocatalytic activity for nanostructured titania"
DESCRIPTION:Committee Members: John V. Vohs\, Advisor; Raymond J. Gorte\, Aleksandra Vojvodic and Christopher B. Murray
URL:https://seasevents.nmsdev7.com/event/doctoral-dissertation-defense-insights-for-catalyst-design-a-systematic-investigation-of-the-morphological-dependence-of-catalytic-and-photocatalytic-activity-for-nanostructured-titania/
LOCATION:PICS Conference Room 534 – A Wing \, 5th Floor\, 3401 Walnut Street\, Philadelphia\, PA\, 19104\, United States
CATEGORIES:Doctoral,Student,Dissertation or Thesis Defense
ORGANIZER;CN="Chemical and Biomolecular Engineering":MAILTO:cbemail@seas.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20190529T133000
DTEND;TZID=America/New_York:20190529T153000
DTSTAMP:20260408T152132
CREATED:20190528T184610Z
LAST-MODIFIED:20190528T184610Z
UID:10006226-1559136600-1559143800@seasevents.nmsdev7.com
SUMMARY:CBE Doctoral Dissertation Defense: "Selective Conversion of Biomass Model Compounds Using Promoted Metal Catalysts"
DESCRIPTION:Committee Members: Raymond J. Gorte\, Advisor; John M. Vohs\, Aleksandra Vojvodic and Bingjun Xu
URL:https://seasevents.nmsdev7.com/event/doctoral-dissertation-defense-selective-conversion-of-biomass-model-compounds-using-promoted-metal-catalysts/
LOCATION:PICS Conference Room 534 – A Wing \, 5th Floor\, 3401 Walnut Street\, Philadelphia\, PA\, 19104\, United States
CATEGORIES:Doctoral,Student,Dissertation or Thesis Defense
ORGANIZER;CN="Chemical and Biomolecular Engineering":MAILTO:cbemail@seas.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20190528T110000
DTEND;TZID=America/New_York:20190528T120000
DTSTAMP:20260408T152132
CREATED:20190523T153941Z
LAST-MODIFIED:20190523T153941Z
UID:10006224-1559041200-1559044800@seasevents.nmsdev7.com
SUMMARY:ESE Seminar: "Caching and Coding in Networks: Rate Efficiency\, Age Efficiency"
DESCRIPTION:Caching is of primary importance in the Internet-of-Things (IoT) and in particular in information-centric network (ICN) architectures where the focal point is content rather than where it can be retrieved from. As a result\, in ICN networks one can replicate and store (or cache) content at various nodes throughout the network so that it can be accessed faster locally without burdening the server and the global network. Traditionally\, caching has been studied on the network layer and its role is to bring content close to the end users. However\, it is now known that the role of caching is beyond storing portions of data. \nIn this talk\, we undertake a holistic approach to cache-aided broadcast networks and show how smart cache design facilitates coding opportunities on the physical layer\, leading to scalable gains in rate and latency. We next address several practical aspects of caching networks by introducing the framework of “caching on the fly” where nodes can cache overheard packets. Identifying simple but efficient coding actions\, we devise policies that schedule coding actions (as opposed to traditional schemes that schedule different users). Within this framework\, we design schemes that are practical\, low complexity\, robust to dynamics of network statistics\, and efficient not only in traditional measures of rate and latency\, but also in new performance measures such as age of information.
URL:https://seasevents.nmsdev7.com/event/ese-seminar-caching-and-coding-in-networks-rate-efficiency-age-efficiency/
LOCATION:Room 401B\, 3401 Walnut\, 3401 Walnut Street\, Philadelphia\, PA\, 19104\, United States
ORGANIZER;CN="Electrical and Systems Engineering":MAILTO:eseevents@seas.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20190523T140000
DTEND;TZID=America/New_York:20190523T150000
DTSTAMP:20260408T152132
CREATED:20190521T203128Z
LAST-MODIFIED:20190521T203128Z
UID:10006223-1558620000-1558623600@seasevents.nmsdev7.com
SUMMARY:MEAM Ph.D. Thesis Defense: "Coarse-graining of Atomistic Models to the Continuum Scale with Applications to Elastodynamics and Diffusive Processes"
DESCRIPTION:Nonequilibrium phenomena are ubiquitous in nature as well as industrial applications. However\, their modeling and simulation faces a strong compromise between physical fidelity and computational efficiency\, with atomistic simulations and continuum descriptions lying towards the two ends of this spectrum. \nIn this dissertation we will first revisit several continuum modeling strategies for the formulation of nonequilibrium evolution equations\, and show by means of an example\, inconsistencies that can arise between the various formalisms. This example will serve as a motivation for developing coarse-graining strategies that can directly link atomistic and continuum models in the context of reversible and irreversible evolutions. With regard to reversible phenomena\, we will present an upscaling scheme that provides a new angle to the classical thermodynamic description of the elastodynamics of solids at finite temperature as the spatio-temporal continuum limit of atomistic Hamiltonian dynamics. This scheme identifies suitable macroscopic (slow) variables and provides its effective equations of motion via elimination of the fast degrees of freedom in the limit of infinite time/space scale separation. In addition\, it provides highly intuitive mathematical explanations to various well-known thermodynamic relations. For purely irreversible processes\, a novel coarse-graining strategy is proposed that numerically delivers the entire continuum evolution equation (and not just parameters therein) from particle fluctuations via an infinite-dimensional fluctuation-dissipation relation. The methodology is exemplified for a diffusion process with known analytical solution\, where an excellent agreement is obtained for the density evolution. Finally\, as an outlook\, data-driven techniques are explored to gain understanding in irreversible structural transformations in colloidal crystallites.
URL:https://seasevents.nmsdev7.com/event/meam-ph-d-thesis-defense-coarse-graining-of-atomistic-models-to-the-continuum-scale-with-applications-to-elastodynamics-and-diffusive-processes/
LOCATION:Room 337\, Towne Building\, 220 South 33rd Street\, Philadelphia\, PA\, 19104\, United States
ORGANIZER;CN="Mechanical Engineering and Applied Mechanics":MAILTO:meam@seas.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20190518T140000
DTEND;TZID=America/New_York:20190518T160000
DTSTAMP:20260408T152132
CREATED:20190515T125753Z
LAST-MODIFIED:20190515T125753Z
UID:10006222-1558188000-1558195200@seasevents.nmsdev7.com
SUMMARY:Penn Engineering Undergraduate Commencement Ceremony
DESCRIPTION:Doors open for guest seating at 1:30 p.m. Access livestream here.
URL:https://seasevents.nmsdev7.com/event/penn-engineering-undergraduate-commencement-ceremony/
LOCATION:Palestra\, 223 South 33rd Street\, Philadelphia\, PA\, 19104\, United States
CATEGORIES:Student,Alumni,Commencement,Undergraduate
END:VEVENT
END:VCALENDAR