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DTSTART;TZID=America/New_York:20210607T120000
DTEND;TZID=America/New_York:20210607T130000
DTSTAMP:20260406T224042
CREATED:20210520T131739Z
LAST-MODIFIED:20210520T131739Z
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SUMMARY:PSOC Webinar: Amanpreet Kaur & Yogesh Goyal
DESCRIPTION:Join Zoom Meeting: \nhttps://upenn.zoom.us/j/99334915941?pwd=eDRXV1lITDlySXFyRHUyUzdmRldoQT09 \nMeeting ID: 993 3491 5941 \nPasscode: 189247 \nPSOC@Penn Summer Webinars 2021 \nContact manu@seas.upenn.edu with any questions \nAmanpreet Kaur 12:00-12:30 PM \nYogesh Goyal: 12:30-1:00 PM
URL:https://seasevents.nmsdev7.com/event/psoc-webinar-amanpreet-kaur-yogesh-goyal/
LOCATION:https://upenn.zoom.us/j/96715197752
CATEGORIES:Seminar,Postdoctoral
ORGANIZER;CN="Bioengineering":MAILTO:be@seas.upenn.edu
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DTSTART;TZID=America/New_York:20210608T103000
DTEND;TZID=America/New_York:20210608T120000
DTSTAMP:20260406T224042
CREATED:20210531T161502Z
LAST-MODIFIED:20210531T161502Z
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SUMMARY:MEAM Seminar: "Room-Temperature Electrochemical Healing of Structural Metals"
DESCRIPTION:Many biological materials and organisms\, such as bones and mollusks\, possess the capability to heal and repair fractures at room temperature or at low homeostatic temperatures (∼ 20 ◦C – 40 ◦C). While this healing capability has inspired many advances in room-temperature self-healing polymers\, metals have proven more difficult to heal at room temperature due to the very slow transport rates of metal atoms. This talk showcases a new rapid\, effective\, low-energy\, and room-temperature approach to heal structural metals using nickel electrodeposition while mimicking the transport-mediated healing of bone. A polymer coating on the structural metal enables selective healing only at the fracture site\, while electrochemical reactions transport nickel ions from a nickel source to fractured areas. Using this approach\, cellular nickel fractured by either tension or scission is shown to recover 100% of its tensile strength in as little as 10 and 4 hours of healing\, while consuming several orders of magnitude less energy than many previously reported metal healing techniques. This approach is extended to the healing of low-carbon steel\, a widely used structural metal\, while elucidating the effect of ion transport and electrolyte chemistry on morphology and strength in fractured steel repaired with nickel electrodeposition. This work opens the possibility of healing a variety of structural metals using selective electrodeposition. With its low energy and time requirements\, as well as its effective recovery of strength\, electrochemical healing can be used to extend the service life of structural parts\, repair alloys vulnerable to thermal cracking\, and more efficiently employ scarce resources in energy-constrained systems or in remote environments.
URL:https://seasevents.nmsdev7.com/event/meam-seminar-room-temperature-electrochemical-healing-of-structural-metals/
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:20210608T103000
DTEND;TZID=America/New_York:20210608T123000
DTSTAMP:20260406T224042
CREATED:20210513T171612Z
LAST-MODIFIED:20210513T171612Z
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SUMMARY:BE Doctoral Dissertation: "Using Machine Learning and Natural Language Processing to Improve Scientific Processes"
DESCRIPTION:The Department of Bioengineering at the University of Pennsylvania and Dr. Konrad Kording are pleased to announce the Doctoral Dissertation Defense of Titipat Achakulvisut.\n\nUsing Machine Learning and Natural Language Processing to improve scientific processes\nScientific information has been growing exponentially over the past decades. Arguably\, traditional processes of doing science cannot keep up with this growth. This expansion has a scaling impact on scientific activities such as funding\, the review process\, conferences\, and exploring the literature. To improve on the traditional scientific processes\, useful tools and understanding of these processes are crucial. This dissertation advances the scientific processes by incorporating knowledge and tools from natural language processing (NLP) and machine learning (ML). We discuss the applications in three applications of scientific endeavors including (1) extracting scientific claims for scientific literature\, (2) improving on traditional conferences with data-driven approaches\, and (3) understanding the funding process using the content of applications. To complement our findings\, we provided open-source software\, tools\, and real-world implementation for other researchers. In sum\, this thesis serves as both a conceptual point of view and proof-of-concept implementations of how we can improve science through the use of ML and NLP.\n\nThe public is welcome to attend.\n\nPlease join Zoom Meeting\nhttps://upenn.zoom.us/j/93750249969?pwd=ekNLaHh2THUzcFlHanRYUEVnUVRJdz09\nMeeting ID: 937 5024 9969\nPasscode: 224865
URL:https://seasevents.nmsdev7.com/event/be-doctoral-dissertation-using-machine-learning-and-natural-language-processing-to-improve-scientific-processes/
LOCATION:https://upenn.zoom.us/j/96715197752
CATEGORIES:Doctoral,Student,Dissertation or Thesis Defense
ORGANIZER;CN="Bioengineering":MAILTO:be@seas.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20210609T203000
DTEND;TZID=America/New_York:20210609T220000
DTSTAMP:20260406T224042
CREATED:20210603T153115Z
LAST-MODIFIED:20210603T153115Z
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SUMMARY:ODEI Spotlight: Pride "Walk-In" Movie Night
DESCRIPTION:Pride “Walk-In” Movie Night\nWednesday\, June 9th | 8:30 pm (ET)\nLGBT Center (3907 Spruce St.) Back Patio \nWhat better way to kick-off Pride Month than with a movie night! Join the Penn LGBT Center for an intimate outdoor screening of the Oscar Award winning movie Moonlight. Bring a blanket and/or lawn chair for your seating and we’ll provide the feedings! Movie snacks and drinks will be provided. See you for a pride night under the moonlight!
URL:https://seasevents.nmsdev7.com/event/odei-spotlight-pride-walk-in-movie-night/
LOCATION:LGBT Center – 3907 Spruce Street\, 3907 Spruce Street\, Philadelphia\, United States
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BEGIN:VEVENT
DTSTART;TZID=America/New_York:20210610T090000
DTEND;TZID=America/New_York:20210610T110000
DTSTAMP:20260406T224042
CREATED:20210608T172927Z
LAST-MODIFIED:20210608T172927Z
UID:10006805-1623315600-1623322800@seasevents.nmsdev7.com
SUMMARY:CBE PhD Dissertation Defense | Understanding and Predicting the Chemical Properties of Complex Oxides using First-principles Methods
DESCRIPTION:Abstract: \nTransition metal oxides are at the forefront of several applications in catalysis\, energy conversion and storage\, and are bound to play a pivotal role in our transition to a sustainable energy future. However\, vast differences in the electronic structure among different transition metal oxides make them highly complex materials to understand and predict chemical properties for a given application. The results of this thesis aims at providing some insights into bettering our understanding of these complex oxides through a first-principles approach\, and also provides paths to improve the predictability of chemical properties as it pertains to heterogeneous catalysis. Through the extensive use of density-functional theory calculations\, a detailed analysis of the electronic structure\, and ab-initio molecular dynamics coupled with enhanced sampling methods\, this thesis aims at better understanding perovskite and rutile oxides for their applications as electrocatalysts in water-splitting and as catalyst supports in thermal catalytic applications.
URL:https://seasevents.nmsdev7.com/event/cbe-phd-dissertation-defense-understanding-and-predicting-the-chemical-properties-of-complex-oxides-using-first-principles-methods/
LOCATION:Zoom – Email CBE for link
CATEGORIES:Doctoral,Graduate,Dissertation or Thesis Defense
ORGANIZER;CN="Chemical and Biomolecular Engineering":MAILTO:cbemail@seas.upenn.edu
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