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DTSTART;TZID=America/New_York:20220801T103000
DTEND;TZID=America/New_York:20220801T120000
DTSTAMP:20260405T155513
CREATED:20220719T184420Z
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SUMMARY:MEAM Ph.D. Thesis Defense: "Imperfect Adhesion Between Elastic Solids"
DESCRIPTION:Surface force-mediated adhesion\, i.e. via van der Waals forces\, is critical for the direct bonding of bulk solids in the absence of an adhesive layer. However\, no two surfaces are perfectly flat nor conformal and some have intentional patterns\, which leads to imperfect adhesion\, i.e. interface adhesion strength that is below its ideal strength. In the case of non-conformal patterned interface\, regions of tensile and compressive stresses exist in the adhered solids at the equilibrium state. Imperfect adhesion also can arise from edge effects. The understanding of imperfect adhesion is important in controlling interfacial strength and toughness for various applications including MEMS/NEMS\, micro-transfer printing\, and soft robotic grippers. \nThe overall goal of this thesis is to investigate the mechanics of surface force-mediated adhesion by examining the interplay between intrinsic traction-separation relation (TSR)\, interface topography\, and elastic bulk properties. The TSR developed accounts for strong repulsion to avoid material interpenetration. The effective interface properties\, including the overall adhesion strength and work of separation\, are determined from numerical calculations using finite element analysis. \nThe first study exploits surface patterning for adhesion control. A cohesive model for a periodic unit cell with non-conformal patterned interfaces is developed to analyze the joint effects of non-uniform interface separation and elastic bulk deformation. The second study investigates edge effects. In general\, interface shear tractions coupled with Poisson contraction reduces the interface adhesion significantly and result in fracture-based failure. Understanding the interaction between the normal and the shear tractions is important but has not been studied extensively thus far. The second study concerns the detachment of an elastic pillar from a rigid substrate. A non-dimensional parameter is defined to describe the transition between strength-based and fracture-based failure. In a third study\, the mechanics that govern interface failure in electroadhesives is investigated using a TSR derived from Coulomb’s law. This last study highlights the importance of interface crack growth in the design of electroadhesives through modeling an elastic cylinder electrostatically adhered to a rigid substrate. The adhesion strength of the electroadhesives becomes imperfect when a non-dimensional parameter reaches a critical value.
URL:https://seasevents.nmsdev7.com/event/meam-ph-d-thesis-defense-imperfect-adhesion-between-elastic-solids/
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:20220802T100000
DTEND;TZID=America/New_York:20220802T113000
DTSTAMP:20260405T155513
CREATED:20220719T203544Z
LAST-MODIFIED:20220719T203544Z
UID:10007216-1659434400-1659439800@seasevents.nmsdev7.com
SUMMARY:MEAM Seminar: "Neural Network Assisted Open Boundaries for Molecular Dynamics Simulations"
DESCRIPTION:Molecular dynamics simulations allow for the visualization and analysis of atoms and molecules. The choice of boundary conditions in these simulations can impact the overall system\, and is an important design decision. In particular\, open boundary molecular dynamics simulations is one type of methodology that allows for the treatment of atomistic models with non equilibrium conditions. In this seminar\, I introduce an approach to the treatment of open boundaries using machine learning. A neural network-assisted design will be presented that can emulate the physics and reduce the computational cost of open boundary simulations. Particle influxes and neural network-derived forces are applied at the boundaries of an open domain consisting of explicitly modeled Lennard-Jones atoms in order to represent the effects of an unmodeled surrounding fluid. Canonical ensemble simulations with periodic boundaries are used to train the neural network and to sample boundary fluxes. The method\, as implemented in the LAMMPS molecular simulation package\, yields results comparable to those calculated using periodic molecular dynamics and runs two orders of magnitude faster than a comparable grand canonical molecular dynamics system.
URL:https://seasevents.nmsdev7.com/event/meam-seminar-neural-network-assisted-open-boundaries-for-molecular-dynamics-simulations/
LOCATION:Towne 313\, 220 S. 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:20220805T120000
DTEND;TZID=America/New_York:20220805T130000
DTSTAMP:20260405T155513
CREATED:20220628T170422Z
LAST-MODIFIED:20220628T170422Z
UID:10007204-1659700800-1659704400@seasevents.nmsdev7.com
SUMMARY:Quantum Engineering Summer Seminar Series: Prineha Narang\, PhD [computational quantum dynamics] (Harvard University)
DESCRIPTION:About the Series: The Quantum Engineering Summer Seminar Series is hosted by the Quantum Engineering Graduate Association (QEGA) every Friday at 12:00 – 1:00 pm EDT throughout the summer months and will be followed by a separate Fall series. The series invites leading world leading experts across academia\, industry\, and government working on experimental\, theoretical\, and policy aspects of quantum science and engineering. Each seminar will be followed by a 10 minute networking session with the invited speaker. \nSpeaker List: \nJuly 8th\, 2022 – Jon Felbinger\, PhD [private-public partnerships] (Quantum Economic Development Consortium) \nJuly 15th\, 2022 – William Oliver\, PhD [superconducting qubits] (MIT and MIT Lincoln Labs) \nJuly 22nd\, 2022 – Sinead Griffin\, PhD [novel qubit materials design] (Lawrence Berkeley National Laboratory) \nJuly 29th\, 2022 – Hannes Bernien\, PhD [trapped ion systems] (University of Chicago) \nAugust 5th\, 2022 – Prineha Narang\, PhD [computational quantum dynamics] (Harvard University) \nAugust 12th\, 2022 – Peter McMahon\, PhD [quantum annealing] (Cornell University) \nAugust 19th\, 2022 – Nick Bronn\, PhD [NISQ era quantum computing] (IBM) \nAugust 26th\, 2022 – Riccardo Manenti\, PhD [scalable quantum computing systems] (Rigetti) \nMeeting Information: The seminar series will be a hybrid event with talks broadcasted on campus (Wu and Chen Auditorium\, Levine Hall) and available online via Zoom. The Zoom link will be posted weekly for each individual talk. \nJoin QEGA: The Quantum Engineering Graduate Association (QEGA) is a new organization at Penn founded by Nima Leclerc and Noah Johnson\, two Penn ESE PhD students in the Sigillito Group. QEGA’s goal is to increase graduate student and faculty engagement in quantum engineering at Penn through school-wide events such as this seminar series\, quantum-career networking opportunities\, and a quantum engineering outreach program program. If you would like to stay connected with us\, please email Nima at nleclerc@seas.upenn.edu with the subject line ‘qega listserv’ to get added to our mailing list!
URL:https://seasevents.nmsdev7.com/event/quantum-engineering-summer-seminar-series-prineha-narang-phd-computational-quantum-dynamics-harvard-university/
LOCATION:Wu and Chen Auditorium (Room 101)\, Levine Hall\, 3330 Walnut Street\, Philadelphia\, PA\, 19104\, United States
CATEGORIES:Seminar
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20220809T100000
DTEND;TZID=America/New_York:20220809T113000
DTSTAMP:20260405T155513
CREATED:20220727T174359Z
LAST-MODIFIED:20220727T174359Z
UID:10007219-1660039200-1660044600@seasevents.nmsdev7.com
SUMMARY:MEAM Seminar: "Data-Driven Model Discovery for Non-equilbrium Processes via Stochastic Thermomechanics"
DESCRIPTION:Non-equilibrium phenomena are ubiquitous across material systems and of great technological relevance. Examples of such phenomena include diffusion processes in liquid and gases\, viscoelasticity and plasticity in solids\, and rheological behavior of colloidal and granular media. Despite their ubiquity and importance\, the understanding of non-equilibrium phenomena remains in its infancy compared with classical equilibrium thermodynamics and statistical mechanics from both theoretical and computational aspects. As a consequence\, current modeling and simulation strategies\, including multiscale paradigms\, are mostly trapped within a compromise between computational efficiency and physical fidelity. \nIn this talk\, I will leverage several different recent advances in non-equilibrium physics\, together with emerging machine learning techniques\, to develop data-driven computational strategies for learning continuum evolution equations. First\, I will present a new strategy for continuum model discovery to systems that have both a reversible (elastic) and dissipative evolution\, by using fluctuation theorems\, particularly\, the Jarzynski equality. Second\, I will talk about a proposed machine learning architecture called Variational Onsager Neural Networks (VONNs) to learn the non-equilibrium evolution PDEs based on the Onsager’s variational approach. Finally\, I will introduce a statistical mechanics framework with quantified uncertainty to extrapolate material behavior to different loading conditions (including far-from-equilibrium conditions) or material systems.
URL:https://seasevents.nmsdev7.com/event/meam-seminar-data-driven-model-discovery-for-non-equilbrium-processes-via-stochastic-thermomechanics/
LOCATION:Towne 313\, 220 S. 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:20220812T120000
DTEND;TZID=America/New_York:20220812T130000
DTSTAMP:20260405T155513
CREATED:20220628T170553Z
LAST-MODIFIED:20220628T170553Z
UID:10007205-1660305600-1660309200@seasevents.nmsdev7.com
SUMMARY:Quantum Engineering Summer Seminar Series: Peter McMahon\, PhD [quantum annealing] (Cornell University)
DESCRIPTION:About the Series: The Quantum Engineering Summer Seminar Series is hosted by the Quantum Engineering Graduate Association (QEGA) every Friday at 12:00 – 1:00 pm EDT throughout the summer months and will be followed by a separate Fall series. The series invites leading world leading experts across academia\, industry\, and government working on experimental\, theoretical\, and policy aspects of quantum science and engineering. Each seminar will be followed by a 10 minute networking session with the invited speaker. \nSpeaker List: \nJuly 8th\, 2022 – Jon Felbinger\, PhD [private-public partnerships] (Quantum Economic Development Consortium) \nJuly 15th\, 2022 – William Oliver\, PhD [superconducting qubits] (MIT and MIT Lincoln Labs) \nJuly 22nd\, 2022 – Sinead Griffin\, PhD [novel qubit materials design] (Lawrence Berkeley National Laboratory) \nJuly 29th\, 2022 – Hannes Bernien\, PhD [trapped ion systems] (University of Chicago) \nAugust 5th\, 2022 – Prineha Narang\, PhD [computational quantum dynamics] (Harvard University) \nAugust 12th\, 2022 – Peter McMahon\, PhD [quantum annealing] (Cornell University) \nAugust 19th\, 2022 – Nick Bronn\, PhD [NISQ era quantum computing] (IBM) \nAugust 26th\, 2022 – Riccardo Manenti\, PhD [scalable quantum computing systems] (Rigetti) \nMeeting Information: The seminar series will be a hybrid event with talks broadcasted on campus (Wu and Chen Auditorium\, Levine Hall) and available online via Zoom. The Zoom link will be posted weekly for each individual talk. \nJoin QEGA: The Quantum Engineering Graduate Association (QEGA) is a new organization at Penn founded by Nima Leclerc and Noah Johnson\, two Penn ESE PhD students in the Sigillito Group. QEGA’s goal is to increase graduate student and faculty engagement in quantum engineering at Penn through school-wide events such as this seminar series\, quantum-career networking opportunities\, and a quantum engineering outreach program program. If you would like to stay connected with us\, please email Nima at nleclerc@seas.upenn.edu with the subject line ‘qega listserv’ to get added to our mailing list!
URL:https://seasevents.nmsdev7.com/event/quantum-engineering-summer-seminar-series-peter-mcmahon-phd-quantum-annealing-cornell-university/
LOCATION:Wu and Chen Auditorium (Room 101)\, Levine Hall\, 3330 Walnut Street\, Philadelphia\, PA\, 19104\, United States
CATEGORIES:Seminar
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20220816T100000
DTEND;TZID=America/New_York:20220816T113000
DTSTAMP:20260405T155513
CREATED:20220811T131353Z
LAST-MODIFIED:20220811T131353Z
UID:10007222-1660644000-1660649400@seasevents.nmsdev7.com
SUMMARY:MEAM Seminar: "Toward Agile Legged Locomotion in a Novel Quadrupedal Robot with an Axially Twisting Spine"
DESCRIPTION:With the advent of more capable and cheaper legged robots\, robotic legged locomotion is becoming an increasingly attractive solution for locomotion and embodiment. Legs offer expanded capability over wheeled robots\, albeit at the cost of complexity and efficiency. For example\, walking robots explore rubble-filled caves\, inspect industrial sites\, move around human spaces (e.g.\, stairs)\, and travel in natural environments. Still\, the current capabilities of most robots pale in comparison to most biological-legged locomotors. For instance\, the arboreal squirrel can run from branch to branch\, climb up and down trees\, and leap from surface to surface\, composing strings of maneuvers without slowing or stopping. Taking biology as inspiration\, collaborations with mathematicians\, biomechanists\, paleontologists\, and geologists help us distill down the essential locomotor primitives and morphologies for new\, more agile\, quadrupedal robots. \nMy research focuses on the benefits of adding novel internal degrees of freedom to quadrupeds (namely an axially twisting spine)\, especially in spatial\, transitional maneuvers. In this talk\, I will show some results and preliminary work using physical models and optimization to suggest that investigating spinal degrees of freedom is vital in opening up the capabilities of legged quadrupeds. Next\, I will introduce a novel quadrupedal robot\, Twist\, walk through its design process\, describe the context of its design\, and elaborate on some questions we hope to solve within and outside the field of robotics. Finally\, I will discuss my work toward these transitional (parkour) behaviors in robotics\, particularly regarding moving from a sagittal plane model and robot to an intrinsically spatial\, three-dimensional model and robot.
URL:https://seasevents.nmsdev7.com/event/meam-seminar-toward-agile-legged-locomotion-in-a-novel-quadrupedal-robot-with-an-axially-twisting-spine/
LOCATION:Towne 313\, 220 S. 33rd Street\, Philadelphia\, PA\, 19104\, United States
CATEGORIES:Seminar,Doctoral
ORGANIZER;CN="Mechanical Engineering and Applied Mechanics":MAILTO:meam@seas.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20220819T120000
DTEND;TZID=America/New_York:20220819T130000
DTSTAMP:20260405T155513
CREATED:20220628T170725Z
LAST-MODIFIED:20220628T170725Z
UID:10007206-1660910400-1660914000@seasevents.nmsdev7.com
SUMMARY:Quantum Engineering Summer Seminar Series: Nick Bronn\, PhD [NISQ era quantum computing] (IBM)
DESCRIPTION:About the Series: The Quantum Engineering Summer Seminar Series is hosted by the Quantum Engineering Graduate Association (QEGA) every Friday at 12:00 – 1:00 pm EDT throughout the summer months and will be followed by a separate Fall series. The series invites leading world leading experts across academia\, industry\, and government working on experimental\, theoretical\, and policy aspects of quantum science and engineering. Each seminar will be followed by a 10 minute networking session with the invited speaker. \nSpeaker List: \nJuly 8th\, 2022 – Jon Felbinger\, PhD [private-public partnerships] (Quantum Economic Development Consortium) \nJuly 15th\, 2022 – William Oliver\, PhD [superconducting qubits] (MIT and MIT Lincoln Labs) \nJuly 22nd\, 2022 – Sinead Griffin\, PhD [novel qubit materials design] (Lawrence Berkeley National Laboratory) \nJuly 29th\, 2022 – Hannes Bernien\, PhD [trapped ion systems] (University of Chicago) \nAugust 5th\, 2022 – Prineha Narang\, PhD [computational quantum dynamics] (Harvard University) \nAugust 12th\, 2022 – Peter McMahon\, PhD [quantum annealing] (Cornell University) \nAugust 19th\, 2022 – Nick Bronn\, PhD [NISQ era quantum computing] (IBM) \nAugust 26th\, 2022 – Riccardo Manenti\, PhD [scalable quantum computing systems] (Rigetti) \nMeeting Information: The seminar series will be a hybrid event with talks broadcasted on campus (Wu and Chen Auditorium\, Levine Hall) and available online via Zoom. The Zoom link will be posted weekly for each individual talk. \nJoin QEGA: The Quantum Engineering Graduate Association (QEGA) is a new organization at Penn founded by Nima Leclerc and Noah Johnson\, two Penn ESE PhD students in the Sigillito Group. QEGA’s goal is to increase graduate student and faculty engagement in quantum engineering at Penn through school-wide events such as this seminar series\, quantum-career networking opportunities\, and a quantum engineering outreach program program. If you would like to stay connected with us\, please email Nima at nleclerc@seas.upenn.edu with the subject line ‘qega listserv’ to get added to our mailing list!
URL:https://seasevents.nmsdev7.com/event/quantum-engineering-summer-seminar-series-nick-bronn-phd-nisq-era-quantum-computing-ibm/
LOCATION:Wu and Chen Auditorium (Room 101)\, Levine Hall\, 3330 Walnut Street\, Philadelphia\, PA\, 19104\, United States
CATEGORIES:Seminar
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20220823T100000
DTEND;TZID=America/New_York:20220823T113000
DTSTAMP:20260405T155513
CREATED:20220809T131939Z
LAST-MODIFIED:20220809T131939Z
UID:10007220-1661248800-1661254200@seasevents.nmsdev7.com
SUMMARY:MEAM Seminar: "Disease Indicator Prediction in Vascular Flows via Physics-Informed Deep Learning"
DESCRIPTION:Unlike diseases with strong genetic predisposition\, such as cancer\, there exist no accurate personalized diagnostic tools for disorders such as Hypertensive Pregnancy Disorders (HPD) and its mechanism remain understudied. For the purpose of performing diagnostics\, we require disease indicators (biomarkers) that are strongly correlated with the underlying condition\, i.e. absolute vascular pressure for hypertension. Measuring absolute pressure requires an invasive procedure and it is impossible for small vessels and in pregnant subjects\, but an informed estimate is possible via the use of Computational Fluid Dynamics. Computational Fluid Dynamics can also be employed for studying the relation between disease outcomes and biomarkers\, by constructing virtual representations of a human body called Digital Twins and performing simulations for different parameters. Unfortunately the computational cost of CFD is very high thus studying the physiology of large cohorts of patients or making real time predictions is impossible. Therefore\, fast surrogates that generalize across different patients and parameters are required. \nIn this talk\, I will leverage aspects of both computational mechanics and deep learning to develop methods for predicting complex biomarkers that cannot be measured in the clinic\, such as absolute pressure\, for performing patient specific diagnostics. First\, I will discuss the feasibility of estimating vascular parameters for assessing Hypertensive Pregnancy Disorders using a combination of Bayesian inference and a reduced order Navier-Stokes model and show that despite the accuracy of this procedure\, its computational complexity makes it impossible to be employed in clinical practice. Second\, I will discuss leveraging Physics-Informed Neural Networks (PINNs) for designing Deep Learning surrogates to alleviate computational drawbacks of the above pipeline for one patient. Third\, I will discuss machine learning inference in function spaces\, called Operator Learning\, and more specifically the LOCA method and the potential of online biomarker predictions for different patients employing operator learning on manifolds and quantifying the uncertainty of predictions.
URL:https://seasevents.nmsdev7.com/event/meam-seminar-disease-indicator-prediction-in-vascular-flows-via-physics-informed-deep-learning/
LOCATION:Towne 313\, 220 S. 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:20220823T100000
DTEND;TZID=America/New_York:20220823T140000
DTSTAMP:20260405T155513
CREATED:20220822T145428Z
LAST-MODIFIED:20220822T145428Z
UID:10007231-1661248800-1661263200@seasevents.nmsdev7.com
SUMMARY:CBE Dissertation Defense: "Visualizing Genetics: Quantifying Gene Expression Through Genetic and Epigenetic Modifications"
DESCRIPTION:“Visualizing Genetics: Quantifying Gene Expression Through Genetic and Epigenetic Modifications” \nAbstract: \nPrecise control over gene expression is essential for proper development of an organism. However\, genes are regulated in a variety of ways\, the mechanisms of which are not well understood. This thesis explores gene regulation at two different levels: genetic control and epigenetic control. Genetic control focuses on components of the genome such as enhancers\, promoters\, gene composition\, and gene length. Each of these facets can potentially affect either the timing\, amount\, or location of gene expression. Epigenetic control looks at how different DNA markers\, which do not modify the DNA sequence\, are able to manipulate gene production. Using quantitative live-imaging in Drosophila embryos and immunofluorescence staining in human fibroblasts\, we are able to capture and analyze the impact each of these factors have on gene expression. In genetic control\, we see that enhancers play a dominant role in controlling expression\, specifically through the individual transcription factor binding sites within an enhancer. Based on the binding affinity and type of binding site\, the enhancer can influence when genes are active as well as the amount of mRNA produced. The level of mRNA production is also influenced by the rate of RNA polymerase II (Pol II) elongation. The speed that Pol II moves along a gene body can impact how much mRNA is made within a certain developmental time period. We find that not only do enhancers play a role in controlling Pol II elongation rate\, but the composition of the gene itself also contributes to modulating the rate of elongation. In epigenetic control\, there are many different markers interacting with DNA. Here we identified H3K9me3 as a key epigenetic modification that controls DNA compaction\, and thus can silence a large number of genes. As a result\, specific epigenetic markers can ultimately control gene expression and dramatically impact a cell’s ability to reprogram itself. Slight changes in gene regulatory mechanisms can cause extreme changes in gene expression and ensuring that organisms develop properly is contingent upon having a better understanding of how different factors influence expression.
URL:https://seasevents.nmsdev7.com/event/cbe-dissertation-defense-visualizing-genetics-quantifying-gene-expression-through-genetic-and-epigenetic-modifications/
LOCATION:Raisler Lounge (Room 225)\, Towne Building\, 220 South 33rd Street\, Philadelphia\, PA\, 19104\, United States
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:20220823T150000
DTEND;TZID=America/New_York:20220823T170000
DTSTAMP:20260405T155513
CREATED:20220819T162454Z
LAST-MODIFIED:20220819T162454Z
UID:10007230-1661266800-1661274000@seasevents.nmsdev7.com
SUMMARY:BE Doctoral Dissertation Defense: "Molecular Imaging Biomarkers and Regulation Approaches for Next-Generation Cellular Therapies" (Iris Lee)
DESCRIPTION:The Department of Bioengineering at the University of Pennsylvania and Dr. Mark Sellmeyer are pleased to announce the Doctoral Dissertation Defense of Iris Lee.\n \nTitle: Molecular Imaging Biomarkers and Regulation Approaches for Next-Generation Cellular Therapies\nDate: Tuesday\, August 23rd\, 2022\nTime: 3 PM ET\nLocation: Biomedical Research Building (BRB) 0252\n\nThe public is welcome to attend.
URL:https://seasevents.nmsdev7.com/event/be-doctoral-dissertation-defense-molecular-imaging-biomarkers-and-regulation-approaches-for-next-generation-cellular-therapies-iris-lee/
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:20220825T100000
DTEND;TZID=America/New_York:20220825T113000
DTSTAMP:20260405T155513
CREATED:20220819T162002Z
LAST-MODIFIED:20220819T162002Z
UID:10007229-1661421600-1661427000@seasevents.nmsdev7.com
SUMMARY:MEAM Seminar: "High-performance Electroadhesives for Materials and Robots with Programmable Stiffness"
DESCRIPTION:Materials with electroprogrammable stiffness and adhesion can enhance the performance of robotic systems but 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. A 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. Furthermore\, soft material interfaces have not been utilized for stronger electroadhesive clutches due to latent adhesion at the contact interface that prevents programmable release. \nIn this talk\, a fracture mechanics framework to understand the relationship between clutch design\, force capacity and contact area is discussed. This mechanics-based framework predicts clutch performance across multiple geometries and applied voltages. Based on this approach\, a Coulombic electrostatic clutch with 94 times the force capacity per unit electrostatic force of state-of-the-art electroadhesive clutches is realized. These electroadhesive clutches are used to increase the load capacity of a soft\, pneumatic finger by a factor of 62 times compared to a finger without an electroadhesive. Finally\, this mechanics-based design methodology is applied to the design of low-voltage ionoelastomer clutches with soft material interfaces for wearable robotic applications with increased force capacities and programmable release at reduced device sizes.
URL:https://seasevents.nmsdev7.com/event/meam-seminar-high-performance-electroadhesives-for-materials-and-robots-with-programmable-stiffness/
LOCATION:Towne 313\, 220 S. 33rd Street\, Philadelphia\, PA\, 19104\, United States
CATEGORIES:Seminar,Doctoral
ORGANIZER;CN="Mechanical Engineering and Applied Mechanics":MAILTO:meam@seas.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20220826T120000
DTEND;TZID=America/New_York:20220826T130000
DTSTAMP:20260405T155513
CREATED:20220628T170908Z
LAST-MODIFIED:20220628T170908Z
UID:10007207-1661515200-1661518800@seasevents.nmsdev7.com
SUMMARY:Quantum Engineering Summer Seminar Series: Riccardo Manenti\, PhD [scalable quantum computing systems] (Rigetti)
DESCRIPTION:About the Series: The Quantum Engineering Summer Seminar Series is hosted by the Quantum Engineering Graduate Association (QEGA) every Friday at 12:00 – 1:00 pm EDT throughout the summer months and will be followed by a separate Fall series. The series invites leading world leading experts across academia\, industry\, and government working on experimental\, theoretical\, and policy aspects of quantum science and engineering. Each seminar will be followed by a 10 minute networking session with the invited speaker. \nSpeaker List: \nJuly 8th\, 2022 – Jon Felbinger\, PhD [private-public partnerships] (Quantum Economic Development Consortium) \nJuly 15th\, 2022 – William Oliver\, PhD [superconducting qubits] (MIT and MIT Lincoln Labs) \nJuly 22nd\, 2022 – Sinead Griffin\, PhD [novel qubit materials design] (Lawrence Berkeley National Laboratory) \nJuly 29th\, 2022 – Hannes Bernien\, PhD [trapped ion systems] (University of Chicago) \nAugust 5th\, 2022 – Prineha Narang\, PhD [computational quantum dynamics] (Harvard University) \nAugust 12th\, 2022 – Peter McMahon\, PhD [quantum annealing] (Cornell University) \nAugust 19th\, 2022 – Nick Bronn\, PhD [NISQ era quantum computing] (IBM) \nAugust 26th\, 2022 – Riccardo Manenti\, PhD [scalable quantum computing systems] (Rigetti) \nMeeting Information: The seminar series will be a hybrid event with talks broadcasted on campus (Wu and Chen Auditorium\, Levine Hall) and available online via Zoom. The Zoom link will be posted weekly for each individual talk. \nJoin QEGA: The Quantum Engineering Graduate Association (QEGA) is a new organization at Penn founded by Nima Leclerc and Noah Johnson\, two Penn ESE PhD students in the Sigillito Group. QEGA’s goal is to increase graduate student and faculty engagement in quantum engineering at Penn through school-wide events such as this seminar series\, quantum-career networking opportunities\, and a quantum engineering outreach program program. If you would like to stay connected with us\, please email Nima at nleclerc@seas.upenn.edu with the subject line ‘qega listserv’ to get added to our mailing list!
URL:https://seasevents.nmsdev7.com/event/quantum-engineering-summer-seminar-series-riccardo-manenti-phd-scalable-quantum-computing-systems-rigetti/
LOCATION:Wu and Chen Auditorium (Room 101)\, Levine Hall\, 3330 Walnut Street\, Philadelphia\, PA\, 19104\, United States
CATEGORIES:Seminar
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