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DTSTART;TZID=America/New_York:20201005T120000
DTEND;TZID=America/New_York:20201005T130000
DTSTAMP:20260407T131722
CREATED:20200908T165205Z
LAST-MODIFIED:20200908T165205Z
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SUMMARY:PSOC Webinar: "The DNA Damageome and Cancer" (Susan Rosenberg)
DESCRIPTION:“The DNA Damageome and Cancer” \nPhysical Sciences in Oncology Center PSOC@Penn \nFall 2020 Webinar Series Mondays @ Noon (EST) \nFor webinar links\, please contact manu@seas.upenn.edu
URL:https://seasevents.nmsdev7.com/event/psoc-webinar-the-dna-damageome-and-cancer-susan-rosenberg/
LOCATION:PA
CATEGORIES:Seminar
ORGANIZER;CN="PSOC":MAILTO:manu@seas.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20201006T090000
DTEND;TZID=America/New_York:20201006T100000
DTSTAMP:20260407T131722
CREATED:20200925T180645Z
LAST-MODIFIED:20200925T180645Z
UID:10006515-1601974800-1601978400@seasevents.nmsdev7.com
SUMMARY:MEAM PhD Thesis Defense: "Delivering Expressive and Personalized Fingertip Tactile Cues"
DESCRIPTION:Wearable haptic devices have seen growing interest in recent years\, but providing realistic tactile feedback is not a challenge that is soon to be solved. Daily interactions with physical objects elicit complex sensations at the fingertips. Furthermore\, human fingertips exhibit a broad range of physical dimensions and perceptive abilities\, adding increased complexity to the task of simulating haptic interactions in a compelling manner. However\, as the applications of wearable haptic feedback grow\, concerns of wearability and generalizability often persuade tactile device designers to simplify the complexities associated with rendering realistic haptic sensations. As such\, wearable devices tend to be optimized for particular uses and average users\, rendering only the most salient dimensions of tactile feedback for a given task and assuming all users interpret the feedback in a similar fashion. We propose that providing more realistic haptic feedback will require in-depth examinations of higher-dimensional tactile cues and personalization of these cues for individual users. In this thesis\, we aim to provide hardware and software-based solutions for rendering more expressive and personalized tactile cues to the fingertip. \nWe first explore the idea of rendering six-degree-of-freedom (6-DOF) tactile fingertip feedback via a wearable device\, such that any possible fingertip interaction with a flat surface can be simulated. We highlight the potential of parallel continuum manipulators (PCMs) to meet the requirements of such a device\, and we refine the design of a PCM for providing fingertip tactile cues. We construct a manually actuated prototype to validate the concept\, and then continue to develop a motorized version\, named the Fingertip Puppeteer\, or Fuppeteer for short. Various error reduction techniques are presented\, and the resulting device is evaluated by analyzing system responses to step inputs\, measuring forces rendered to a biomimetic finger sensor\, and comparing intended sensations to perceived sensations of twenty-four participants in a human-subject study. \nOnce the functionality of the Fuppeteer is validated\, we begin to explore how the device can be used to broaden our understanding of higher-dimensional tactile feedback. One such application is using the 6-DOF device to simulate different lower-dimensional devices. We evaluate 1-\, 3-\, and 6-DOF tactile feedback during shape discrimination and mass discrimination in a virtual environment\, also comparing to interactions with real objects. Results from 20 naive study participants show that higher-dimensional tactile feedback may indeed allow completion of a wider range of virtual tasks\, but that feedback dimensionality surprisingly does not greatly affect the exploratory techniques employed by the user. \nTo address alternative approaches to improving tactile rendering in scenarios where low-dimensional tactile feedback is appropriate\, we then explore the idea of personalizing feedback for a particular user. We present two software-based approaches to personalize an existing data-driven haptic rendering algorithm for fingertips of different sizes. We evaluate our algorithms in the rendering of pre-recorded tactile sensations onto rubber casts of six different fingertips as well as onto the real fingertips of 13 human participants\, all via a 3-DOF wearable device. Results show that both personalization approaches significantly reduced force error magnitudes and improved realism ratings.
URL:https://seasevents.nmsdev7.com/event/meam-phd-thesis-defense-delivering-expressive-and-personalized-fingertip-tactile-cues/
LOCATION:Zoom – Email MEAM for Link\, peterlit@seas.upenn.edu
CATEGORIES:Seminar,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:20201006T103000
DTEND;TZID=America/New_York:20201006T120000
DTSTAMP:20260407T131722
CREATED:20200911T213458Z
LAST-MODIFIED:20200911T213458Z
UID:10006490-1601980200-1601985600@seasevents.nmsdev7.com
SUMMARY:MEAM Seminar: "Operator Inference: Bridging Model Reduction and Scientific Machine Learning"
DESCRIPTION:Model reduction methods have grown from the computational science community\, with a focus on reducing high-dimensional models that arise from physics-based modeling\, whereas machine learning has grown from the computer science community\, with a focus on creating expressive models from black-box data streams. Yet recent years have seen an increased blending of the two perspectives and a recognition of the associated opportunities. This talk presents our work in operator inference\, where we learn effective reduced-order operators directly from data. The physical governing equations define the form of the model we should seek to learn. Thus\, rather than learn a generic approximation with weak enforcement of the physics\, we learn low-dimensional operators whose structure is defined by the physics. This perspective provides new opportunities to learn from data through the lens of physics-based models and contributes to the foundations of Scientific Machine Learning\, yielding a new class of flexible data-driven methods that support high-consequence decision-making under uncertainty for physical systems.
URL:https://seasevents.nmsdev7.com/event/meam-seminar-operator-inference-bridging-model-reduction-and-scientific-machine-learning/
LOCATION:Zoom – Email MEAM for Link\, peterlit@seas.upenn.edu
CATEGORIES:Seminar
ORGANIZER;CN="Mechanical Engineering and Applied Mechanics":MAILTO:meam@seas.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20201006T110000
DTEND;TZID=America/New_York:20201006T120000
DTSTAMP:20260407T131722
CREATED:20200918T010946Z
LAST-MODIFIED:20200918T010946Z
UID:10006507-1601982000-1601985600@seasevents.nmsdev7.com
SUMMARY:ESE Grace Hopper Lecture: "Emerging Non-Volatile Ferroelectric Memory"
DESCRIPTION:Abstract\nThe last decade has seen a remarkable shift in usage and value of semiconductor memory technologies. These changes are driven by the elevation of four particular target applications –(1) mobile multi-media applications\, (2) explosive growth in the sheer volume of data that is being created and stored\, (3) emphasis from the individual components to the configurability in high-volume subsystems and (4) applications in brain inspired artificial intelligence systems. \nThe dominating memory technologies in the industry have been SRAM\, DRAM (volatile) and NAND flash (non-volatile). Storage class memory (SCM) describes a device category that combines the benefits of solid-state memory with the archival capabilities and low cost per bit of conventional hard disk magnetic storage. In the past decade\, significant focus has been put on the emerging memory technologies that include: MRAM (Magnetic RAM)\, STTRAM (Spin-Transfer Torque RAM)\, FeRAM (Ferroelectric RAM)\, PCRAM (Phase Change RAM)\, RRAM (Resistive RAM) and Memristor. \nThe invention of ferroelectricity in doped hafnium based oxides (HfZrO2\, doped HfO2) has attracted tremendous interest in realizing HfO 2  based devices.  They have large remnant polarization of up to 45 μC cm −2 \, and their coercive field (≈1–2 MV cm −1 ) is larger than conventional ferroelectric films by approximately one order of magnitude. Furthermore\, they can be extremely thin (<10 nm) and have a large bandgap (>5 eV).  The primary devices aimed in these applications are ferroelectric field effect transistors (FeFETs) and ferroelectric tunnel junctions (FTJs).  In FeFETs\, the conventional logic gate dielectric is replaced with a ferroelectric material that remembers the electric field to which it had been exposed resulting in the threshold voltage of two stable binary states similar to the way it is done in a flash memory cell. \nWe are aiming at developing a fabrication platform that will allow fabrication of n and p channel FeFETs and FTJ based circuits using standard CMOS process on 150 mm wafers in a university environment.  We observe FeFETs exhibiting charge trapping and polarization induced memory window. The process developed for fabricating 1T1R FTJ array integrated with NMOS will be described. FTJs are promising candidates for synaptic weight elements in neural network hardware because of their nonvolatile multilevel memory effect. The talk will provide an overview of advances made in various memory technologies with their future trends.
URL:https://seasevents.nmsdev7.com/event/ese-grace-hopper-lecture-santosh-kurinec/
LOCATION:Zoom – Email ESE for Link jbatter@seas.upenn.edu
CATEGORIES:Distinguished Lecture,Faculty,Colloquium,Graduate,Undergraduate
ORGANIZER;CN="Electrical and Systems Engineering":MAILTO:eseevents@seas.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20201006T150000
DTEND;TZID=America/New_York:20201006T160000
DTSTAMP:20260407T131722
CREATED:20201001T191507Z
LAST-MODIFIED:20201001T191507Z
UID:10006518-1601996400-1602000000@seasevents.nmsdev7.com
SUMMARY:CIS Seminar:"Language\, Brain\, and Computation"
DESCRIPTION:How does the brain beget the mind?  How do molecules\, cells and synapses effect reasoning\, intelligence\, language?   Despite dazzling progress in experimental neuroscience\, as well as in cognitive science at the other extreme of scale\, we do not seem to be making progress in the overarching question — the gap is huge and a completely new approach seems to be required.  As Richard Axel recently put it:  “We don’t have a logic for the transformation of neural activity into thought […].” \nWhat kind of formal system would qualify as this “logic”? \nI will introduce the Assembly Calculus\, a computational system whose basic data structure is the assembly — assemblies are large populations of neurons representing concepts\, words\, thoughts\, etc. –\, and which is informed by recent progress in understanding how language happens in the brain.
URL:https://seasevents.nmsdev7.com/event/cis-seminarlanguage-brain-and-computation/
LOCATION:Zoom – Email CIS for link\, cherylh@cis.upenn.edu
ORGANIZER;CN="Computer and Information Science":MAILTO:cherylh@cis.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20201008T104500
DTEND;TZID=America/New_York:20201008T114500
DTSTAMP:20260407T131722
CREATED:20200828T152406Z
LAST-MODIFIED:20200828T152406Z
UID:10006454-1602153900-1602157500@seasevents.nmsdev7.com
SUMMARY:MSE Seminar: "Characterization of Complex Eutectic Microstructures"
DESCRIPTION:Eutectic phase transitions play an important role in many engineering materials\, from cast iron to electronic solder. Regular binary eutectics are relatively straightforward and generally well understood\, but the additional degree of freedom in three-component alloys introduces a far greater level of complexity\, as three solid phases can form simultaneously from the melt. These ternary eutectic structures show promise for creating materials with unique optical and electronic properties\, and are also useful for understanding the factors that control multi-phase\, multi-component solidification more generally. The fundamentals of higher-order eutectics will be explained\, before describing recent experimental and simulation work primarily on the model system of Al-Ag-Cu. By directional solidification at relatively low velocities and thermal gradients\, ternary microstructures with varying degrees of alignment were produced and studied. These microstructures will be discussed both qualitatively and quantitatively\, along with the role of diffusion\, interfacial energy and crystal structure in their formation.
URL:https://seasevents.nmsdev7.com/event/mse-seminar-characterization-of-complex-eutectic-microstructures/
LOCATION:PA
ORGANIZER;CN="Materials Science and Engineering":MAILTO:johnruss@seas.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20201008T140000
DTEND;TZID=America/New_York:20201008T150000
DTSTAMP:20260407T131722
CREATED:20200710T163320Z
LAST-MODIFIED:20200710T163320Z
UID:10006443-1602165600-1602169200@seasevents.nmsdev7.com
SUMMARY:BE Seminar: "Imaging and sequencing single cells" (Aaron Streets)
DESCRIPTION:This event will be held virtually on zoom. Check your email for the link and passcode or contact ksas@seas.upenn.edu. \nRecent advances in microfluidics and high-throughput sequencing technology have enabled rapid profiling of genomic material in single cells. Valve- and droplet-based microfluidic platforms can precisely and efficiently manipulate\, sort\, and process cells to generate indexed sequencing libraries\, allowing for high-throughput single-cell analysis of the genome\, transcriptome\, proteome\, and epigenome. Such technology has been instrumental in the global effort to create a human cell atlas\, with the ambitious goal of identifying and cataloging all human cell types and cell states in health and disease. However\, not all cell phenotypes are directly encoded in the genome and high-throughput sequencing cannot probe the full space of cellular identity. Therefore\, microscopy remains one of the most powerful and versatile tools for characterizing cells. Fluorescent imaging and quantitative non-linear optical imaging can reveal morphological characteristics\, protein localization\, chromatin organization\, and chemical composition in single cells.  Both single-cell genomics and microscopy can uncover heterogeneity in cellular populations that would otherwise be obscured in ensemble measurement. In this talk\, I will discuss a suite of new microfluidic platforms for coupling genomic measurements and optical measurements of the same single cell\, and some novel computational approaches to grapple with these new datasets. With a combination of new hardware and software\, our goal is to converge on a quantitative and comprehensive understanding of cellular identity.
URL:https://seasevents.nmsdev7.com/event/be-seminar-5/
LOCATION:PA
CATEGORIES:Seminar
ORGANIZER;CN="Bioengineering":MAILTO:be@seas.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20201009T100000
DTEND;TZID=America/New_York:20201009T110000
DTSTAMP:20260407T131722
CREATED:20201015T184140Z
LAST-MODIFIED:20201015T184140Z
UID:10006525-1602237600-1602241200@seasevents.nmsdev7.com
SUMMARY:SIG Seminar: “A History of Crowd Simulation and Rendering at Pixar”
DESCRIPTION:This talk will cover how Pixar’s crowds pipeline evolved from “A Bug’s Life” to “Onward”\, and how the studio’s artists and engineers refined and re-invented their tools over the years to create memorable animated crowd scenes.  We’ll cover the progression from finite state machine control\, to agent based crowd simulation\, to sketch based workflows\, using case studies from Pixar’s feature films.
URL:https://seasevents.nmsdev7.com/event/sig-seminar-a-history-of-crowd-simulation-and-rendering-at-pixar/
LOCATION:PA
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20201009T140000
DTEND;TZID=America/New_York:20201009T150000
DTSTAMP:20260407T131722
CREATED:20200902T124757Z
LAST-MODIFIED:20200902T124757Z
UID:10006468-1602252000-1602255600@seasevents.nmsdev7.com
SUMMARY:PICS Seminar: "Scaling down the laws of thermodynamics"
DESCRIPTION:Abstract: Thermodynamics provides a robust conceptual framework and set of laws that govern the exchange of energy and matter. Although these laws were originally articulated for macroscopic objects\, nanoscale systems also exhibit “thermodynamic-like” behavior – for instance\, biomolecular motors convert chemical fuel into mechanical work\, and single molecules exhibit hysteresis when manipulated using optical tweezers. To what extent can the laws of thermodynamics be scaled down to apply to individual microscopic systems\, and what new features emerge at the nanoscale? I will describe some of the challenges and recent progress – both theoretical and experimental – associated with addressing these questions. Along the way\, my talk will touch on non-equilibrium fluctuations\, “violations” of the second law\, the thermodynamic arrow of time\, nanoscale feedback control\, strong system-environment coupling\, and quantum thermodynamics.
URL:https://seasevents.nmsdev7.com/event/pics-seminar-scaling-down-the-laws-of-thermodynamics/
LOCATION:Zoom – Email CIS for link\, cherylh@cis.upenn.edu
CATEGORIES:Seminar
ORGANIZER;CN="Penn Institute for Computational Science (PICS)":MAILTO:dkparks@seas.upenn.edu
END:VEVENT
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