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DTSTART;TZID=America/New_York:20230530T100000
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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
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BEGIN:VEVENT
DTSTART;TZID=America/New_York:20230530T140000
DTEND;TZID=America/New_York:20230530T160000
DTSTAMP:20260404T083431
CREATED:20230517T170634Z
LAST-MODIFIED:20230517T170634Z
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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:20230531T090000
DTEND;TZID=America/New_York:20230531T100000
DTSTAMP:20260404T083431
CREATED:20230523T194006Z
LAST-MODIFIED:20230523T194006Z
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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
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BEGIN:VEVENT
DTSTART;TZID=America/New_York:20230601T120000
DTEND;TZID=America/New_York:20230601T133000
DTSTAMP:20260404T083431
CREATED:20230516T204123Z
LAST-MODIFIED:20230516T204123Z
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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
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