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DTSTART;TZID=America/New_York:20221206T100000
DTEND;TZID=America/New_York:20221206T113000
DTSTAMP:20260405T122910
CREATED:20221122T191122Z
LAST-MODIFIED:20221122T191122Z
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SUMMARY:MEAM Seminar: "Nonlinear Mechanical Behavior of Kirigami-inspired Architected Materials"
DESCRIPTION:As 3D printing and other advanced manufacturing techniques have become more common\, it is increasingly possible to produce structures with nearly arbitrary internal geometric and compositional features\, opening up vast new design space for engineers. In this work\, we consider a kirigami-inspired\, flexible architected material comprising rotating squares joined at their vertices. The rotational degrees of freedom result in significant structural compliance due to the large internal rotations of the squares. While the static properties of these structures (such as their auxetic characteristics) have been studied extensively\, much less work has been done on their dynamic properties\, especially nonlinear dynamic properties induced by large movement of internal components. Here\, we examine the nonlinear static and dynamic responses of these systems\, including the propagation of vector solitons and transition waves\, and collisions of these nonlinear waves. Finally\, we discuss how stimuli-responsive materials can be integrated with the nonlinearities of kirigami-inspired architected materials to enable autonomous behaviors\, including movement and control of trajectory\, as well as mechanical computing\, which enables “information processing” to be treated as a material property.
URL:https://seasevents.nmsdev7.com/event/meam-seminar-nonlinear-mechanical-behavior-of-kirigami-inspired-architected-materials/
LOCATION:Wu and Chen Auditorium (Room 101)\, Levine Hall\, 3330 Walnut 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:20221207T150000
DTEND;TZID=America/New_York:20221207T160000
DTSTAMP:20260405T122910
CREATED:20221202T154005Z
LAST-MODIFIED:20221202T154005Z
UID:10007378-1670425200-1670428800@seasevents.nmsdev7.com
SUMMARY:Fall 2022 GRASP SFI: Harold Soh\, National University of Singapore\, "Towards Trustworthy Robots that Interact with People"
DESCRIPTION:This is a hybrid event with in-person attendance in Wu and Chen and virtual attendance via Zoom. \nABSTRACT\nWhat will it take to develop robots that work with us in real-world tasks? In this talk\, we’ll discuss some of our work across the autonomy stack of a robot as we make progress towards an answer. We’ll begin with multi-modal sensing and perception\, and then move on to modeling humans with little data. We’ll end with the primary insights gained in our journey and  a discussion of challenges in deriving robots that we trust to operate in social environments.
URL:https://seasevents.nmsdev7.com/event/fall-2022-grasp-sfi-harold-soh-national-university-of-singapore/
LOCATION:Levine 307\, 3330 Walnut Street\, Philadelphia\, PA\, 19104\, United States
ORGANIZER;CN="General Robotics%2C Automation%2C Sensing and Perception (GRASP) Lab":MAILTO:grasplab@seas.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20221207T153000
DTEND;TZID=America/New_York:20221207T163000
DTSTAMP:20260405T122910
CREATED:20220909T200108Z
LAST-MODIFIED:20220909T200108Z
UID:10007279-1670427000-1670430600@seasevents.nmsdev7.com
SUMMARY:CBE Seminar Series: "Flexible Protein Networks in Membrane Biology and Medicine" (Jeanne Stachowiak)
DESCRIPTION:
URL:https://seasevents.nmsdev7.com/event/cbe-seminar-series-flexible-protein-networks-in-membrane-biology-and-medicine-jeanne-stachowiak/
LOCATION:Wu and Chen Auditorium (Room 101)\, Levine Hall\, 3330 Walnut Street\, Philadelphia\, PA\, 19104\, United States
CATEGORIES:Seminar
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BEGIN:VEVENT
DTSTART;TZID=America/New_York:20221208T103000
DTEND;TZID=America/New_York:20221208T113000
DTSTAMP:20260405T122910
CREATED:20221128T221750Z
LAST-MODIFIED:20221128T221750Z
UID:10007375-1670495400-1670499000@seasevents.nmsdev7.com
SUMMARY:MSE Seminar: “Compressibility of Nanoconfined Fluids: Relating Atomistic Modeling to Ultrasonic Experiments”
DESCRIPTION:Fluids confined in nanopores are ubiquitous in nature and technology. In recent years\, the interest in confined fluids has grown\, driven by research on unconventional hydrocarbon resources — shale gas and shale oil\, much of which are confined in nanopores. When fluids are confined in nanopores\, many of their properties differ from those of the same fluid in the bulk. These properties include density\, freezing point\, transport coefficients\, thermal expansion coefficient\, and\, as it was shown recently [1]\, elastic properties. \nThe elastic modulus of a fluid confined in the pores contribute to the overall elasticity of the fluid-saturated porous medium and determine the speed at which elastic waves traverse through the medium. In this talk I will show how elastic modulus of a confined fluid in a nanopore can be calculated based on Monte Carlo and molecular dynamics simulations and illustrate it with calculations for various fluids [2]. Additionally\, I will present our recent experimental measurements of elastic properties of water confined in nanoporous glass samples. Our results suggest that some of the models widely used for describing elasticity of fluid-saturated porous solids need to be revised [3]. \n[1] Dobrzanski\, C. D.; Gurevich\, B.; Gor\, G. Y. “Elastic Properties of Confined Fluids from Molecular Modeling to Ultrasonic Experiments on Porous Solids” Appl. Phys. Rev. 2021\, 8\, 021317\, DOI: 10.1063/5.0024114\n[2] Maximov\, M. A.; Gor\, G. Y. “Molecular Simulations Shed Light on Potential Uses of Ultrasound in Nitrogen Adsorption Experiments” Langmuir 2018\, 34(51)\, 15650-15657\, DOI: 10.1021/acs.langmuir.8b02909\n[3] Gor\, G. Y.; Gurevich\, B. “Gassmann Theory Applies to Nanoporous Media” Geophys. Res. Lett.\, 2018\, 45(1)\, 146-155\, DOI: 10.1002/2017GL075321
URL:https://seasevents.nmsdev7.com/event/mse-seminar-compressibility-of-nanoconfined-fluids-relating-atomistic-modeling-to-ultrasonic-experiments/
LOCATION:Wu and Chen Auditorium (Room 101)\, Levine Hall\, 3330 Walnut Street\, Philadelphia\, PA\, 19104\, United States
CATEGORIES:Symposium
ORGANIZER;CN="Materials Science and Engineering":MAILTO:johnruss@seas.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20221208T123000
DTEND;TZID=America/New_York:20221208T133000
DTSTAMP:20260405T122910
CREATED:20221205T134221Z
LAST-MODIFIED:20221205T134221Z
UID:10007379-1670502600-1670506200@seasevents.nmsdev7.com
SUMMARY:ESE Fall Colloquium - "On compression of\, for\, and with neural networks"
DESCRIPTION:Data compression is enjoying a renaissance fueled by an unprecedented growth in both the amount of data being generated and our reliance on powerful computation. At its heart is an increasingly intricate interplay between compression\, artificial neural networks\, and (our) biological neural networks. I will survey some related research in which I have been involved\, and conclude with thoughts about future research.
URL:https://seasevents.nmsdev7.com/event/ese-fall-colloquium-on-compression-of-for-and-with-neural-networks/
LOCATION:Zoom – Meeting ID 971 2264 9281
CATEGORIES:Colloquium
ORGANIZER;CN="Electrical and Systems Engineering":MAILTO:eseevents@seas.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20221208T150000
DTEND;TZID=America/New_York:20221208T160000
DTSTAMP:20260405T122910
CREATED:20221128T163811Z
LAST-MODIFIED:20221128T163811Z
UID:10007373-1670511600-1670515200@seasevents.nmsdev7.com
SUMMARY:MEAM Ph.D. Thesis Defense: "An Aquatic Underactuated Modular Self-Reconfigurable Robotic System for Information-Limited Navigation in Gyre-Like Flows"
DESCRIPTION:Aquatic modular self-reconfigurable robotic systems (MSRRs) have incredible potential for bringing practical\, flexible\, and adaptable robotic tools to challenging environments. They could build mobile ocean platforms or bridges for larger vehicles\, act as ocean-going manipulators to perform repairs on infrastructure\, or function as oceanographic research platforms\, using reconfiguration to achieve precise spatial resolution when sensing or to improve energy efficiency when traveling over large distances. \nDevelopment of aquatic MSRRs\, however\, is limited by the assumption that modules need to be capable of holonomic actuation\, which makes them complex and expensive. This work challenges this limitation\, presenting a novel underactuated aquatic robot called the Modboat that uses a single motor and passive flippers for propulsion and steering\, and developing a capable aquatic MSRR that can dock\, undock\, reconfigure\, and move as a collective using Modboats as its modules. \nAquatic systems are further limited because conventional techniques assume that full flow models are needed to use ocean currents for navigation. Such flow models are rarely available\, so practical deployments are limited to high thrust and energy-capacity systems. This dissertation challenges this assumption\, demonstrating that limited knowledge of ocean gyres can be used for energy-efficient navigation even by low-thrust systems\, and that this navigation can significantly expand the operational range of energy-limited robotic systems. Modboat modules are used to verify these results as an example underactuated and low-power robot.
URL:https://seasevents.nmsdev7.com/event/meam-ph-d-thesis-defense-an-aquatic-underactuated-modular-self-reconfigurable-robotic-system-for-information-limited-navigation-in-gyre-like-flows/
LOCATION:Levine 307\, 3330 Walnut 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:20221208T153000
DTEND;TZID=America/New_York:20221208T163000
DTSTAMP:20260405T122910
CREATED:20220812T145835Z
LAST-MODIFIED:20220812T145835Z
UID:10007227-1670513400-1670517000@seasevents.nmsdev7.com
SUMMARY:Grace Hopper Distinguished Lecture: "How Memory Guides Value-Based Decisions" (Daphna Shohamy\, Columbia University)
DESCRIPTION:This distinguished lecture will be a hybrid event held in the Glandt Forum (Singh Center) and via Zoom. A light reception will follow the live lecture. \nZoom link \nPasscode: 704696 \n“How Memory Guides Value-Based Decisions” \nFrom robots to humans\, the ability to learn from experience turns a rigid response system into a flexible\, adaptive one. In the past several decades\, major advances have been made in understanding how humans and other animals learn from experience to make decisions. However\, most of this progress has focused on rather simple forms of stimulus-response learning\, such as automatic responses or habits. In this talk\, I will turn to consider how past experience guides more complex decisions\, such as those requiring flexible reasoning\, inference\, and deliberation. Across a range of behavioral contexts\, I will demonstrate a critical role for memory in such decisions and will discuss how multiple brain regions interact to support learning\, what this means for how memories are used\, and the consequences for how decisions are made. Uncovering the pervasive role of memory in decision-making challenges the way we think about what memory is for\, suggesting that memory’s primary purpose may be to guide future behavior and that storing a record of the past is just one way to do so. \nIn support of its educational mission of promoting the role of all engineers in society\, the School of Engineering and Applied Science presents the Grace Hopper Lecture Series. This series is intended to serve the dual purpose of recognizing successful women in engineering and of inspiring students to achieve at the highest level. Grace Hopper is a wonderful example of a visionary in her field who exhibited the type of pioneering spirit that is an inspiration to all of us. \nIn support of the accomplishments of women in engineering\, departments within the School invite a prominent speaker to campus for a visit that incorporates a public lecture\, various mini-talks and opportunities to interact with students and faculty. This series provides another avenue for recognition of distinguished leaders in engineering and presents role models that help remind all of us why we chose this profession.
URL:https://seasevents.nmsdev7.com/event/grace-hopper-distinguished-lecture-daphna-shohamy-columbia-university/
LOCATION:Glandt Forum\, Singh Center for Nanotechnology\, 3205 Walnut Street\, Philadelphia\, PA\, 19104\, United States
CATEGORIES:Seminar,Distinguished Lecture
ORGANIZER;CN="Bioengineering":MAILTO:be@seas.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20221208T153000
DTEND;TZID=America/New_York:20221208T163000
DTSTAMP:20260405T122910
CREATED:20221130T145836Z
LAST-MODIFIED:20221130T145836Z
UID:10007377-1670513400-1670517000@seasevents.nmsdev7.com
SUMMARY:CIS Seminar: " Exploring the role of scientific machine learning in electric power system decarbonization"
DESCRIPTION:Electric power systems lie at the heart of efforts to mitigate and adapt to the effects of climate change.  Mitigation requires shifting electricity generation away from carbon-emitting technologies toward zero carbon sources such as wind and solar generation\, and converting energy end uses like transportation and space conditioning to use that electricity.  Adaptation requires designing electricity infrastructure to withstand extreme weather conditions\, including heat waves\, hurricanes\, and wildfire.  Computing and data sit at the heart of planning for these changes so that they are cost effective and reliable.  This talk will survey three challenges in this space\, namely\, (i) ensuring power system stability in the face of massive changes in generation infrastructure\, (ii) exploring the scope of infrastructure change required to reliably serve millions of electrified cars and buildings and (iii) quantifying the risk of wildfire caused by millions of pieces of electricity infrastructure\, and the risk reduction achieved by a suite of possible upgrades to that infrastructure.  In the course of the survey\, the talk will discuss how machine learning tools — including state of the art scientific machine learning principles — can be brought to bear on these problems.
URL:https://seasevents.nmsdev7.com/event/cis-seminar-exploring-the-role-of-scientific-machine-learning-in-electric-power-system-decarbonization/
LOCATION:Wu and Chen Auditorium (Room 101)\, Levine Hall\, 3330 Walnut Street\, Philadelphia\, PA\, 19104\, United States
ORGANIZER;CN="Computer and Information Science":MAILTO:cherylh@cis.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20221209T103000
DTEND;TZID=America/New_York:20221209T114500
DTSTAMP:20260405T122910
CREATED:20221121T165149Z
LAST-MODIFIED:20221121T165149Z
UID:10007368-1670581800-1670586300@seasevents.nmsdev7.com
SUMMARY:Fall 2022 GRASP on Robotics: David Fouhey\, University of Michigan\, "Understanding the Physical World from Images"
DESCRIPTION:This is a hybrid event with in-person attendance in Wu and Chen and virtual attendance via Zoom. \n  \nABSTRACT\nIf I show you a photo of a place you have never been to\, you can easily imagine what you could do in that picture. Your understanding goes from the surfaces you see to the ones you do not\, like parts that are hidden behind furniture. Your understanding even enables reasoning about how the scene could be if someone interacted with it\, for instance by opening a cabinet. My research aims to give computers this same level of physical understanding. I believe that this physical understanding will be critical for autonomous agents\, as well as for enabling new insights in research fields that vision does not often interact with: progress on many problems across the sciences and humanities can be accelerated by being able to robustly measure some quantity at scale.\n\nMy talk will show my research group’s work towards the goal of understanding the physical world from images. I will first show how we can reconstruct 3D scenes\, including invisible surfaces\, from a single RGB image. We have developed an approach that learns to predict a scene-scale implicit function using realistic 3D supervision that can be gathered by consumers or robots instead of by using artist-created watertight 3D assets. After showing reconstructions of our system in everyday scenarios\, I will talk about how measuring the world can unlock new insights in science\, from millimeter-sized bird bones to solar physics data where a pixel is a few hundred miles wide. I will conclude by showing work towards understanding how humans can interact with objects\, including work on understanding hands and the objects they hold.
URL:https://seasevents.nmsdev7.com/event/fall-2022-grasp-on-robotics-david-fouhey-university-of-michigan/
LOCATION:Wu and Chen Auditorium (Room 101)\, Levine Hall\, 3330 Walnut Street\, Philadelphia\, PA\, 19104\, United States
CATEGORIES:Seminar
ORGANIZER;CN="General Robotics%2C Automation%2C Sensing and Perception (GRASP) Lab":MAILTO:grasplab@seas.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20221209T140000
DTEND;TZID=America/New_York:20221209T150000
DTSTAMP:20260405T122910
CREATED:20220913T182444Z
LAST-MODIFIED:20220913T182444Z
UID:10007284-1670594400-1670598000@seasevents.nmsdev7.com
SUMMARY:PICS Colloquium: "From Molecular Vibrations to Solvation\, Protein Dynamics and Models of the Cytoplasm"
DESCRIPTION:Abstract: Vibrational spectroscopies at mid-infrared frequencies provide excellent probes to characterize functional groups and their immediate chemical environment. However\, from a thermodynamic and dynamic point of view\, only the ground state of these vibrations is significantly populated. Most of the “jiggling and wiggling” of atoms and molecules (referred to in the famous quote by Feynman) happens at lower frequencies in the far-infrared\, where vibrations are easily excited by thermal collisions. \nThe Heyden research group develops methods to characterize and extract information from far-infrared vibrations in molecular dynamics simulations of biomolecular systems: 1) We develop methods that eliminate the need for harmonic and quasi-harmonic approximations in the analysis of collective vibrational modes and their contributions to vibrational spectra. 2) We use intermolecular vibrations of the water-hydrogen bond network to generate detailed 3D maps of protein hydration free energies and water-mediated interactions. 3) We use such 3D maps to generate implicit solvation models that enable realistic simulations of large biomolecular systems including many interacting proteins. \nEach of these methods has its own applications\, but combined they allow us to develop computationally efficient models of complex biomolecular environments such as the cytoplasm. We developed a multi-conformation Monte Carlo algorithm that uses input from existing molecular dynamics simulation trajectories to generate new simulation models of systems containing 100’s of interacting flexible proteins at very low computational cost. This allows us to analyze consequences of biomolecular crowding in a multitude of scenarios\, which remain inaccessible to direct molecular dynamics simulations.
URL:https://seasevents.nmsdev7.com/event/pics-colloquium-from-molecular-vibrations-to-solvation-protein-dynamics-and-models-of-the-cytoplasm/
LOCATION:PICS Conference Room 534 – A Wing \, 5th Floor\, 3401 Walnut Street\, Philadelphia\, PA\, 19104\, United States
CATEGORIES:Colloquium
ORGANIZER;CN="Penn Institute for Computational Science (PICS)":MAILTO:dkparks@seas.upenn.edu
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