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DTSTART;TZID=America/New_York:20220801T103000
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DTSTAMP:20260405T175637
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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
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DTSTART;TZID=America/New_York:20220802T100000
DTEND;TZID=America/New_York:20220802T113000
DTSTAMP:20260405T175637
CREATED:20220719T203544Z
LAST-MODIFIED:20220719T203544Z
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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
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DTSTART;TZID=America/New_York:20220805T120000
DTEND;TZID=America/New_York:20220805T130000
DTSTAMP:20260405T175637
CREATED:20220628T170422Z
LAST-MODIFIED:20220628T170422Z
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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
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