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DTSTART;TZID=America/New_York:20240429T140000
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DTSTAMP:20260403T172409
CREATED:20240415T220135Z
LAST-MODIFIED:20240415T220135Z
UID:10007951-1714399200-1714402800@seasevents.nmsdev7.com
SUMMARY:MEAM Master's Thesis Defense: "Modeling Off-Grid Photovoltaics Integrated with Micro-Cogeneration and Electrical Energy Storage"
DESCRIPTION:Due to the elevated expenditure of fossil fuels and their adverse impacts on climate change resulting from greenhouse gas emissions\, it is imperative to integrate clean energy sources alongside fossil fuels. This study presents the design\, simulation\, and optimization of an integrated system comprising solar photovoltaics\, micro-cogeneration\, and electrical energy storage to achieve energy self-sufficiency independently from external energy sources. Moreover\, the study determines the maximum cost of the converter that can be economically added to the heating system\, enabling it to generate both heat and electricity simultaneously. It also calculates the unit electricity cost for each combination. The modeled system is capable of meeting all required electricity and heat demands. Yet\, the model presents a range of alternatives for configuring the capacity required for PV panels\, batteries\, and converter\, each resulting in varied overall costs. It has been determined that when conversion efficiency increases\, the costs associated with PV panels and batteries decrease\, as do the overall cost. However\, the maximum cost of the converter necessary for achieving cost-effectiveness is not constant\, but rather changes according to its efficiency. Ultimately\, the unit electricity cost varies\, decreasing with increasing converter rated power until a certain value\, then increasing.
URL:https://seasevents.nmsdev7.com/event/meam-masters-thesis-defense-modeling-off-grid-photovoltaics-integrated-with-micro-cogeneration-and-electrical-energy-storage/
LOCATION:Room 2C6\, David Rittenhouse Laboratory Building\, 209 S. 33rd Street\, Philadelphia\, PA\, 19104\, United States
CATEGORIES:Dissertation or Thesis Defense,Master's
ORGANIZER;CN="Mechanical Engineering and Applied Mechanics":MAILTO:meam@seas.upenn.edu
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DTSTART;TZID=America/New_York:20240430T100000
DTEND;TZID=America/New_York:20240430T113000
DTSTAMP:20260403T172409
CREATED:20240411T160343Z
LAST-MODIFIED:20240411T160343Z
UID:10007945-1714471200-1714476600@seasevents.nmsdev7.com
SUMMARY:MEAM Seminar: "Collective Transitions in Beating Cilia and Swimming Fish"
DESCRIPTION:I will discuss the collective modes that spontaneously emerge in ciliary carpets and fish schools. In both systems\, the fluid medium couples the motion of individuals in the group. Flow coupling is dominated by viscous forces in cilia and by inertial interactions in fish. I will show\, numerically and analytically in the continuum limit\, that the waves that emerge in ciliary carpets are robust to morphological and kinematic perturbations of the ciliated tissues. In fish schools\, I will show intermittent collective behavior with back-and-forth switching between schooling and milling\, and I will analyze the bifurcations underlying phase transitions by lifting the stochastic dynamics of individual fish onto a Fokker-Planck equation that governs the group dynamics. These problems highlight how structure\, activity\, and environment interconnect to produce emergent biological function; our work provides a framework for establishing structure-to-function maps across multiple length scales to help understand\, probe\, and engineer emergent phenomena in biological and biomedical systems.
URL:https://seasevents.nmsdev7.com/event/meam-seminar-collective-transitions-in-beating-cilia-and-swimming-fish/
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
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BEGIN:VEVENT
DTSTART;TZID=America/New_York:20240430T130000
DTEND;TZID=America/New_York:20240430T140000
DTSTAMP:20260403T172409
CREATED:20240405T164610Z
LAST-MODIFIED:20240405T164610Z
UID:10007934-1714482000-1714485600@seasevents.nmsdev7.com
SUMMARY:AI Month: Closing Keynote Address
DESCRIPTION:AI Month at Penn concludes with closing remarks by Vijay Kumar\, Nemirovsky Family Dean\, Penn Engineering. This will be followed by a panel discussion moderated by Susan Davidson\, Weiss Professor\, Computer and Information Science (CIS). Panel guests include: Zachary Ives\, Adani President’s Distinguished Professor\, CIS;\nGeorge Pappas\, UPS Foundation Professor of Transportation\, Electrical and Systems Engineering; and Chris Callison-Burch\, Associate Professor\, CIS. \nPanel: 1:00-2:00 p.m.\nGlandt Forum\, Singh Center \nA reception will follow.
URL:https://seasevents.nmsdev7.com/event/ai-month-closing-keynote-address/
LOCATION:Singh Center for Nanotechnology\, 3205 Walnut Street\, Philadelphia\, PA\, 19104\, United States
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BEGIN:VEVENT
DTSTART;TZID=America/New_York:20240501T120000
DTEND;TZID=America/New_York:20240501T133000
DTSTAMP:20260403T172409
CREATED:20240419T172144Z
LAST-MODIFIED:20240419T172144Z
UID:10007954-1714564800-1714570200@seasevents.nmsdev7.com
SUMMARY:ASSET Seminar: "Lifelong Learning for Autonomous Systems: Progress and Challenges" (Eric Eaton\, University of Pennsylvania)
DESCRIPTION:ABSTRACT: \nResearch in lifelong or continual machine learning has advanced rapidly over the past few years\, primarily focusing on enabling learned models to acquire new tasks over time while avoiding catastrophic forgetting of previous tasks. However\, autonomous systems still lack the ability to rapidly learn new generalizable skills by building upon and continually refining their learned knowledge—a hallmark of lifelong learning in humans and animals. In this talk\, I will examine our progress toward lifelong machine learning and its application to autonomous systems\, exploring recent work in compositional representations and self-supervision. We’ll then discuss how far we have come and the open problems that remain toward learning generalizable skills in lifelong settings. \n  \nZOOM LINK (if unable to attend in-person): https://upenn.zoom.us/j/94522983788
URL:https://seasevents.nmsdev7.com/event/asset-seminar-lifelong-learning-for-autonomous-systems-progress-and-challenges-eric-eaton-university-of-pennsylvania/
LOCATION:Raisler Lounge (Room 225)\, Towne Building\, 220 South 33rd Street\, Philadelphia\, PA\, 19104\, United States
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BEGIN:VEVENT
DTSTART;TZID=America/New_York:20240502T100000
DTEND;TZID=America/New_York:20240502T153000
DTSTAMP:20260403T172409
CREATED:20240416T211540Z
LAST-MODIFIED:20240416T211540Z
UID:10007952-1714644000-1714663800@seasevents.nmsdev7.com
SUMMARY:Penn NRT Soft AE Annual Symposium: Exploring research & educational intersections of soft materials\, autonomous experimentation & science policy
DESCRIPTION:Please register at the event webpage\, where you will also find abstracts and bios for the speakers. \nInvited talks include: \nExploring Polymer Blend Directed Self-Assembly Using Autonomous X-Ray Scattering\nGreg Doerk\, PhD\, Brookhaven National Lab \nMachine-Learning-Guided Discovery of New Electrochemical Reactions\nAndrew Zahrt\, PhD\, University of Pennsylvania \nAsk an Expert about ChatGPT\nChris Callison-Burch\, PhD\, University of Pennsylvania \nEngineering’s Hardest Problem\nGwen Ottinger\, PhD\, Drexel University
URL:https://seasevents.nmsdev7.com/event/penn-nrt-soft-ae-annual-symposium-exploring-research-educational-intersections-of-soft-materials-autonomous-experimentation-science-policy/
LOCATION:Glandt Forum\, Singh Center for Nanotechnology\, 3205 Walnut Street\, Philadelphia\, PA\, 19104\, United States
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