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BEGIN:VEVENT
DTSTART;TZID=America/New_York:20210623T163000
DTEND;TZID=America/New_York:20210623T180000
DTSTAMP:20260407T174818
CREATED:20210603T153304Z
LAST-MODIFIED:20210603T153304Z
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SUMMARY:ODEI Spotlight: Pride on Ice
DESCRIPTION:Pride on Ice\nWednesday\, June 23rd | 4:30-6:00 pm\nPenn Ice Rink (3130 Walnut St)\n\nBe part of Penn on Ice\, an interactive experience\, and join us for free skating (or skate watching)\, great music\, and loads of LGBTQ+ pride! Come in pride finery or as you are\, as we will have some fun swag to liven up the party. Graduate and undergraduate students\, staff\, faculty\, alum\, and their families are welcome! *PennOpen Passes will be checked\, and masks must be worn!
URL:https://seasevents.nmsdev7.com/event/odei-spotlight-pride-on-ice/
LOCATION:PA
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20210622T103000
DTEND;TZID=America/New_York:20210622T120000
DTSTAMP:20260407T174818
CREATED:20210614T173046Z
LAST-MODIFIED:20210614T173046Z
UID:10006808-1624357800-1624363200@seasevents.nmsdev7.com
SUMMARY:MEAM Seminar: "Dynamic Response of Resonant Metamaterials and Other Composites"
DESCRIPTION:Composite materials under dynamic loading exhibit interesting emergent phenomena. Most notably are phononic crystals and metamaterials which can possess frequency dependent and negative elastic moduli and density. In general\, the constitutive response is non-local in space and time and depends on both the strain and velocity. Additionally\, scattering and local resonance effects can lead to frequency band gaps where no waves may propagate. Advanced manufacturing techniques allow us to produce these composites with intricate microstructures. At the same time\, these processes may be costly and prototyping many designs physically may be cost prohibitive. It is then natural to turn towards modeling in order to more efficiently design and characterize such materials. These modelling efforts may include direct numerical simulations\, but even then this may be computationally infeasible for composites whose microstructure is much smaller than the macroscopic length scales in which it will be operating. In these cases\, we seek to describe the effective behavior of the material under static or dynamic loading. \nThe work discussed in this talk is situated towards modeling of resonant metamaterials and other composites under dynamic loading. Direct numerical simulations are used to explore the wave propagation behavior of simple and hierarchical resonant metamaterials made of soft polydimethylsiloxane rubber (PDMS) and removable steel insets. The role of several physical features on the transmission loss (TL) curve is assessed in detail numerically and compared to the experimental TL data. Beyond this\, we develop a novel dynamic homogenization framework using one- and two-point statistics that provide estimates of the dynamic response of composites with reduced computational cost.
URL:https://seasevents.nmsdev7.com/event/meam-seminar-dynamic-response-of-resonant-metamaterials-and-other-composites/
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:20210621T120000
DTEND;TZID=America/New_York:20210621T123000
DTSTAMP:20260407T174818
CREATED:20210520T132454Z
LAST-MODIFIED:20210520T132454Z
UID:10006790-1624276800-1624278600@seasevents.nmsdev7.com
SUMMARY:PSOC Webinar: Manasvita Vashisth & Mengdi Tao
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 \nManasvita Vashisth 12:00-12:30 PM \nMengdi Tao 12:30-1:00 PM
URL:https://seasevents.nmsdev7.com/event/psoc-webinar-manasvita-vashisth/
LOCATION:https://upenn.zoom.us/j/96715197752
CATEGORIES:Seminar,Doctoral,Graduate,Student
ORGANIZER;CN="PSOC":MAILTO:manu@seas.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20210618T120000
DTEND;TZID=America/New_York:20210618T130000
DTSTAMP:20260407T174818
CREATED:20210609T133040Z
LAST-MODIFIED:20210609T133040Z
UID:10006806-1624017600-1624021200@seasevents.nmsdev7.com
SUMMARY:ODEI Spotlight: Penn Commemorates Juneteenth
DESCRIPTION:Friday\, June 18\, 2021\n12:00 PM – 1:00 PM \n\n\nTo learn more about Dr. Ibram X. Kendi\, please visit: www.ibramxkendi.com \nThis event is co-sponsored by The African-American Resource Center\, the Department of Africana Studies\, the Division of Human Resources\, Makuu\, the Office of Social Equity and Community\, and the Vice Provost for University Life. \n\nRegister Here!
URL:https://seasevents.nmsdev7.com/event/odei-spotlight-penn-commemorates-juneteenth/
LOCATION:PA
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20210618T110000
DTEND;TZID=America/New_York:20210618T120000
DTSTAMP:20260407T174818
CREATED:20210609T135709Z
LAST-MODIFIED:20210609T135709Z
UID:10006807-1624014000-1624017600@seasevents.nmsdev7.com
SUMMARY:Bioengineering Juneteenth Town Hall
DESCRIPTION:Join the Department of Bioengineering for a Juneteenth address and Town Hall meeting. Dr. Ololade Fatunmbi\, a member of the BE advisory board\, will speak about HBCU partnerships. The address will be followed by a Q&A. This event is open to the entire Penn Bioengineering community. \nZoom Link
URL:https://seasevents.nmsdev7.com/event/bioengineering-juneteenth-town-hall/
LOCATION:https://upenn.zoom.us/j/96715197752
CATEGORIES:Meeting,Alumni,Diversity, Equity and Inclusion
ORGANIZER;CN="Bioengineering":MAILTO:be@seas.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20210616T140000
DTEND;TZID=America/New_York:20210616T150000
DTSTAMP:20260407T174818
CREATED:20210603T153207Z
LAST-MODIFIED:20210603T153207Z
UID:10006802-1623852000-1623855600@seasevents.nmsdev7.com
SUMMARY:ODEI Spotlight: Dance Outside w/ Pride
DESCRIPTION:Dance Outside w/ Pride\nWednesday\, June 16th | 2 – 3 pm (ET)\nIn-Person Location: LGBT Center (3907 Spruce St.)\nZoom ID: 954 3599 6859\nhttps://vpul-upenn.zoom.us/j/95435996859?pwd=U0wvU3NURHNRRXN4aHVUOER2VVg3QT09Join the Penn LGBT Center for a prideful celebration as we host our first ever hybrid dance class. Whether in-person or online you’re sure to GET YOUR LIFE with Philadelphia’s very own choreographer extraordinaire Devon Sinclair (@CHOREATOR)! With space for movers and dancers of all levels\, bring a friend and your best pride attire to sweat it all out in honor of Pride Month. We hope to see you there!
URL:https://seasevents.nmsdev7.com/event/odei-spotlight-dance-outside-w-pride/
LOCATION:LGBT Center – 3907 Spruce Street\, 3907 Spruce Street\, Philadelphia\, United States
CATEGORIES:Diversity, Equity and Inclusion
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20210615T103000
DTEND;TZID=America/New_York:20210615T120000
DTSTAMP:20260407T174818
CREATED:20210602T124426Z
LAST-MODIFIED:20210602T124426Z
UID:10006800-1623753000-1623758400@seasevents.nmsdev7.com
SUMMARY:MEAM Seminar: "Mechanical Properties of Fibrous Network Materials"
DESCRIPTION:Fibrous network materials are ubiquitous both in nature and in synthetic materials\, and therefore it is important to understand the general properties of the materials and the physics and microstructures on which those properties depend. Specifically\, since fibrous networks generally perform a structural function\, their mechanical properties are of critical importance. We discuss here certain mechanical properties of specific fibrous network materials\, including compression of pulmonary emboli and fracture of Whatman filter paper. \nThe first fibrous network material we consider is pulmonary emboli\, which consist of a random network of fibrin fibers with pores filled with red blood cells (RBCs). We measure the stress-strain responses of human pulmonary emboli under cyclic compression which causes irreversible changes in the structure of the emboli. We describe the hysteretic response of emboli using a model of phase transitions in which the compressed embolus is segregated into coexisting rarefied and densified phases whose fractions change during compression. Our model takes into account the rupture of RBCs in the compressed emboli and stresses due to fluid flow through the emboli’s small pores. \nThe second fibrous network material we consider is Whatman filter paper\, which consists of a network of cellulose fibers that typically interact through hydrogen bonding. The effect of humidity on the out-of-plane fracture toughness of Whatman filter paper is studied for a broad range of relative humidities using double cantilever beam (DCB) tests. Cohesive zone modeling and finite element simulations are used to model crack propagation in the cellulose network. We find that the force-displacement curves from the DCB experiments cannot be explained by a single cohesive zone model\, so a novel model is developed which can capture the high peak and sudden drop in the force in the experimental data due to an initiation region. This new model agrees well with experimental data.
URL:https://seasevents.nmsdev7.com/event/meam-seminar-mechanical-properties-of-fibrous-network-materials/
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:20210614T120000
DTEND;TZID=America/New_York:20210614T123000
DTSTAMP:20260407T174818
CREATED:20210520T132131Z
LAST-MODIFIED:20210520T132131Z
UID:10006789-1623672000-1623673800@seasevents.nmsdev7.com
SUMMARY:PSOC Webinar: Larry Dooling
DESCRIPTION:Join Zoom Meeting: \n\n\n\n\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
URL:https://seasevents.nmsdev7.com/event/psoc-webinar-larry-dooling/
LOCATION:https://upenn.zoom.us/j/96715197752
CATEGORIES:Seminar,Postdoctoral
ORGANIZER;CN="PSOC":MAILTO:manu@seas.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20210610T090000
DTEND;TZID=America/New_York:20210610T110000
DTSTAMP:20260407T174818
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
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20210609T203000
DTEND;TZID=America/New_York:20210609T220000
DTSTAMP:20260407T174818
CREATED:20210603T153115Z
LAST-MODIFIED:20210603T153115Z
UID:10006801-1623270600-1623276000@seasevents.nmsdev7.com
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
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20210608T103000
DTEND;TZID=America/New_York:20210608T123000
DTSTAMP:20260407T174818
CREATED:20210513T171612Z
LAST-MODIFIED:20210513T171612Z
UID:10006785-1623148200-1623155400@seasevents.nmsdev7.com
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:20210608T103000
DTEND;TZID=America/New_York:20210608T120000
DTSTAMP:20260407T174818
CREATED:20210531T161502Z
LAST-MODIFIED:20210531T161502Z
UID:10006799-1623148200-1623153600@seasevents.nmsdev7.com
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:20210607T120000
DTEND;TZID=America/New_York:20210607T130000
DTSTAMP:20260407T174818
CREATED:20210520T131739Z
LAST-MODIFIED:20210520T131739Z
UID:10006788-1623067200-1623070800@seasevents.nmsdev7.com
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
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20210602T100000
DTEND;TZID=America/New_York:20210602T120000
DTSTAMP:20260407T174818
CREATED:20210517T170135Z
LAST-MODIFIED:20210517T170135Z
UID:10006787-1622628000-1622635200@seasevents.nmsdev7.com
SUMMARY:CBE PhD Dissertation Defense |  Designing MXene Catalysts for Clean Energy Chemistries using High-Throughput First-Principles Calculations and Data-Driven Methods
DESCRIPTION:Abstract: \nThe field of heterogeneous catalysis has been prompted to shift toward designing catalysts that can perform beneficial chemistries at ambient conditions. Such materials should have high activity and stability and avoid issues prevalent in other traditional catalysts that are not earth-abundant\, chemically efficient\, or with high selectivity to carry out these reactions. In this thesis\, we study a new class of materials called 2D MXenes that have intriguing electronic and surficial properties. As a result\, MXenes have been of interest for catalysis applications. However\, previous literature on the theoretical exploration of MXenes as HER and NRR catalysts has modeled the basal plane functionalization to be pristine. To counter this\, we model MXenes with different functional groups that demonstrate the extreme reactivity of the basal planes. However\, just altering the basal plane functionalization does not encapsulate the tunability of MXenes for improving their catalytic activity. \nTherefore\, we study the effect of physicochemical changes to MXenes as catalysts for the electrochemical HER and NRR. We perform density functional theory calculations to predict the material properties and their interactions with H* and NxHy* intermediates. Such changes include altering chemical structure\, doping\, straining\, supporting\, and modifying functionalization. We find that of all these changes\, functionalization has the greatest impact on adsorption energies and hence the NRR/HER activity. The sulfidation and biaxial straining of MXenes also increased the HER activity of terminated MXenes. We then compile all data and design a machine learning study where we featurize the data to predict the adsorption energies for these coupled reactions. Electronic structure features of the terminations on the basal plane show that sulfidation of MXenes improves NRR thermodynamics. This thesis pushes forward the catalysis field by elucidating the effect of tuning 2D materials to enhance their chemical activity and the usefulness of data analytics and machine learning to assist materials discovery of novel catalysts for the future clean energy economy.
URL:https://seasevents.nmsdev7.com/event/cbe-phd-dissertation-defense-designing-mxene-catalysts-for-clean-energy-chemistries-using-high-throughput-first-principles-calculations-and-data-driven-methods/
LOCATION:Zoom – Email CBE for link
CATEGORIES:Doctoral,Graduate,Student,Dissertation or Thesis Defense
ORGANIZER;CN="Chemical and Biomolecular Engineering":MAILTO:cbemail@seas.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20210601T103000
DTEND;TZID=America/New_York:20210601T120000
DTSTAMP:20260407T174818
CREATED:20210525T212755Z
LAST-MODIFIED:20210525T212755Z
UID:10006798-1622543400-1622548800@seasevents.nmsdev7.com
SUMMARY:MEAM Seminar: "Surface and Interface Engineering in Manipulation and Fabrication of Colloid-Based Sub-Microporous Hierarchical Materials and Their Applications"
DESCRIPTION:Micro- and nano-porous hierarchical materials exhibit extraordinary mechanical\, energy conversion\, and optical properties\, but manufacturing challenges prevent them from being fabricated at cm-length scales or larger while maintaining the dense regular nm features that enhance their properties. Using self-assembled particles as a template to fabricate metallic hierarchical structures is promising to overcome these challenges\, but current fabrication approaches are significantly limited by the cracking problem in the assembled templates. This work focuses on understanding cracking mechanisms in particle templates and developing a crack-free self-assembly approach to fabricate cm-scale porous nickel hierarchical structures with sub-micrometer feature sizes and an ultrahigh tensile strength. The key to eliminating cracks in the assembled template is to manipulate the surface and interface properties of particles and substrates. The resulting nickel hierarchical structures have 30 nm grains\, 100 nm features\, and 260 MPa tensile strengths\, which are 3X the strength of all porous metals at the same relative density\, approach the theoretical strength limit for porous nickel\, and are 10X the strength of prior nanolattices. Besides\, a new way of controlling internal pore size of the resulting structures has been demonstrated by taking advantage of liquid bridging between particles. The fundamental insights and fabrication methods developed in this work further enable applications\, such as immunomagnetic separation of exosomes and mechanochromic sensing.
URL:https://seasevents.nmsdev7.com/event/meam-seminar-surface-and-interface-engineering-in-manipulation-and-fabrication-of-colloid-based-sub-microporous-hierarchical-materials-and-their-applications/
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:20210519T150000
DTEND;TZID=America/New_York:20210519T170000
DTSTAMP:20260407T174818
CREATED:20210517T164719Z
LAST-MODIFIED:20210517T164719Z
UID:10006786-1621436400-1621443600@seasevents.nmsdev7.com
SUMMARY:CBE PhD Dissertation Defense | Understanding the Dynamic and Mechanical Properties of Polymer under Nanoconfiements
DESCRIPTION:Abstract: \nThe dynamic properties of glassy polymers are well-known to change up confinement to the nanoscale. Confinement to free-standing thin films leads to an enhancement in the segmental dynamics\, and changes in the chain conformation lead to changes in the entanglement density in confined polymers. In this study\, we investigate the role of both segmental dynamics and changes in entanglement density on the mechanical response of glassy polymer films under uniaxial tension using molecular dynamics (MD) simulations. We find that entanglements near the chain ends are unable to carry significant stress at large deformation\, and this leads to the development of a simple model to describe the number of effective entanglements per chain as a function of the blending ratio. We find an exponential scaling between the film toughness and number of effective entanglements per chain\, which also agrees well with the trends observed in experimental measurements of film strength. Varying the film thickness uncovers competing effects between the reduction in entanglement density and changes in the segmental dynamics. In well-ordered diblock copolymer thin films\, we find that failure tends to occur near the center of the block copolymer domains due to the high concentration of chain ends that are unable to support significant stress. Our studies of the thin film mechanics provide molecular insight into how segmental mobility and entanglements interplay with position and morphology to control the mechanics of thin polymer films.
URL:https://seasevents.nmsdev7.com/event/cbe-phd-dissertation-defense-understanding-the-dynamic-and-mechanical-properties-of-polymer-under-nanoconfiements/
LOCATION:Zoom – Email CBE for link
CATEGORIES:Doctoral,Graduate,Dissertation or Thesis Defense
ORGANIZER;CN="Chemical and Biomolecular Engineering":MAILTO:cbemail@seas.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20210514T190000
DTEND;TZID=America/New_York:20210514T200000
DTSTAMP:20260407T174818
CREATED:20210504T202321Z
LAST-MODIFIED:20210504T202321Z
UID:10006779-1621018800-1621022400@seasevents.nmsdev7.com
SUMMARY:ODEI Alumni Board Alumni Weekend Event
DESCRIPTION:The Office of Diversity\, Equity\, and Inclusion Alumni Board (ODEIAB) would like to invite you all to our Penn Alumni Weekend event on Friday\, May 14 at 7 PM EST on Zoom. Join us for an evening of fun: reminisce about past days in ODEI (or the Office of Multicultural Programs)\, catch up with old Penn friends\, meet the members of ODEIAB and learn more about our initiatives\, and participate in an auction in support of the Cora Ingrum Fund. If you’re available\, we would love to see you! Please RSVP here if you are able to attend. \nZoom link for the event:  https://upenn.zoom.us/j/91961421770
URL:https://seasevents.nmsdev7.com/event/odei-alumni-boards-alumni-weekend-event/
LOCATION:PA
CATEGORIES:Diversity, Equity and Inclusion
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20210514T100000
DTEND;TZID=America/New_York:20210514T110000
DTSTAMP:20260407T174818
CREATED:20210505T230536Z
LAST-MODIFIED:20210505T230536Z
UID:10006780-1620986400-1620990000@seasevents.nmsdev7.com
SUMMARY:Penn Engineering Commencement: Undergraduate and Master’s Virtual Recognition
DESCRIPTION:Join us to hear a message from Dr. Vijay Kumar\, Nemirovsky Family Dean of Penn Engineering\, remarks from student speakers and respected alumni\, and messages from professors and parents. In addition\, we will host a virtual roll call for the Class of 2021 undergraduate and master’s graduates and each student will be recognized with their own individual tile. Learn more.
URL:https://seasevents.nmsdev7.com/event/penn-engineering-commencement-undergraduate-and-masters-virtual-recognition/
LOCATION:PA
CATEGORIES:Commencement
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20210513T100000
DTEND;TZID=America/New_York:20210513T110000
DTSTAMP:20260407T174818
CREATED:20210505T230840Z
LAST-MODIFIED:20210505T230840Z
UID:10006781-1620900000-1620903600@seasevents.nmsdev7.com
SUMMARY:Penn Engineering Commencement: Doctoral Ceremony Virtual Recognition
DESCRIPTION:Join us to hear a message from Dr. Vijay Kumar\, Nemirovsky Family Dean of Penn Engineering\, and view a virtual roll call of the Class of 2021 doctoral graduates\, complete with video messages from our graduates and members of the Penn Engineering faculty. Learn more.
URL:https://seasevents.nmsdev7.com/event/penn-engineering-commencement-doctoral-ceremony-virtual-recognition/
LOCATION:PA
CATEGORIES:Commencement
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20210512T160000
DTEND;TZID=America/New_York:20210512T170000
DTSTAMP:20260407T174818
CREATED:20210428T192741Z
LAST-MODIFIED:20210428T192741Z
UID:10006777-1620835200-1620838800@seasevents.nmsdev7.com
SUMMARY:Penn Engineering Celebrates URM Student Achievements
DESCRIPTION:A virtual celebration of the outstanding achievements of Penn Engineering’s Class of ’21 URM graduates. More details to come soon! \n  \nZoom:  https://upenn.zoom.us/j/96319152909\nPass Code: 100797
URL:https://seasevents.nmsdev7.com/event/penn-engineering-celebrates-urm-student-achievements/
LOCATION:PA
CATEGORIES:Diversity, Equity and Inclusion
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20210511T100000
DTEND;TZID=America/New_York:20210511T110000
DTSTAMP:20260407T174818
CREATED:20210507T190906Z
LAST-MODIFIED:20210507T190906Z
UID:10006784-1620727200-1620730800@seasevents.nmsdev7.com
SUMMARY:ODEI Spotlight: GIC Intercultural Community Check-In
DESCRIPTION:The surge of COVID-19 is worrisome for many in our Penn community\, with impacts being felt in the U.S. and globally in India and areas of South America\, Europe and the Middle East. Please know that you are not alone. We invite you to join us in community as we listen and hold space for students experiencing uncertainty and isolation. ALL ARE WELCOME! \nFeel free to attend one or both sessions:\nMonday May 10: 7 p.m. (EST)\nTuesday May 11: 10 a.m. (EST) \nRegister Here
URL:https://seasevents.nmsdev7.com/event/odei-spotlight-gic-intercultural-community-check-in-2/
LOCATION:PA
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20210510T190000
DTEND;TZID=America/New_York:20210510T200000
DTSTAMP:20260407T174818
CREATED:20210507T190533Z
LAST-MODIFIED:20210507T190533Z
UID:10006783-1620673200-1620676800@seasevents.nmsdev7.com
SUMMARY:ODEI Spotlight: GIC Intercultural Community Check-In
DESCRIPTION:The surge of COVID-19 is worrisome for many in our Penn community\, with impacts being felt in the U.S. and globally in India and areas of South America\, Europe and the Middle East. Please know that you are not alone. We invite you to join us in community as we listen and hold space for students experiencing uncertainty and isolation. ALL ARE WELCOME! \nFeel free to attend one or both sessions:\nMonday May 10: 7 p.m. (EST)\nTuesday May 11: 10 a.m. (EST) \nRegister Here
URL:https://seasevents.nmsdev7.com/event/odei-spotlight-gic-intercultural-community-check-in/
LOCATION:PA
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20210510T120000
DTEND;TZID=America/New_York:20210510T130000
DTSTAMP:20260407T174818
CREATED:20210120T170751Z
LAST-MODIFIED:20210120T170751Z
UID:10006593-1620648000-1620651600@seasevents.nmsdev7.com
SUMMARY:PSOC Webinar: "Normal and cancer cell division and the importance of being well rounded" (Buzz Baum)
DESCRIPTION:Physical Sciences in Oncology Center PSOC@Penn \nSpring 2021 Webinar Series Mondays at 12:00 noon (EST) \nFor webinar links\, please contact manu@seas.upenn.edu. \nTitle: “Normal and cancer cell division and the importance of being well rounded”
URL:https://seasevents.nmsdev7.com/event/psoc-webinar-buzz-baum/
LOCATION:PA
CATEGORIES:Seminar
ORGANIZER;CN="PSOC":MAILTO:manu@seas.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20210508T120000
DTEND;TZID=America/New_York:20210508T130000
DTSTAMP:20260407T174818
CREATED:20210507T190237Z
LAST-MODIFIED:20210507T190237Z
UID:10006782-1620475200-1620478800@seasevents.nmsdev7.com
SUMMARY:ODEI Spotlight: Greenfield Intercultural Center\, Honoring our Graduates (Virtual Event)
DESCRIPTION:Join us in honoring our Class of 2021 Greenfield Intercultural Center graduates.\nFamily\, friends\, partners\, and mentors are all welcome! \nSATURDAY\, MAY 8\, 2021 | 12:00 – 1:00 P.M. EDT\nRSVP: https://bit.ly/Honoring2021Grad
URL:https://seasevents.nmsdev7.com/event/odei-spotlight-greenfield-intercultural-center-honoring-our-graduates-virtual-event/
LOCATION:PA
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20210507T170000
DTEND;TZID=America/New_York:20210507T180000
DTSTAMP:20260407T174818
CREATED:20210406T132518Z
LAST-MODIFIED:20210406T132518Z
UID:10006748-1620406800-1620410400@seasevents.nmsdev7.com
SUMMARY:ODEI Spotlight: Lavender Graduation
DESCRIPTION:Please note that this event is only open to students graduating from the University of Pennsylvania. You are welcome to participate even if you were not actively involved with the Penn LGBT Center or any of the LGBTQ+ student organizations. We still want to recognize your accomplishments! \nRegistration Link: https://upenn.co1.qualtrics.com/jfe/form/SV_eeQ0rQM2jc1D7IG
URL:https://seasevents.nmsdev7.com/event/odei-spotlight-lavender-graduation/
LOCATION:PA
CATEGORIES:Diversity, Equity and Inclusion
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20210507T133000
DTEND;TZID=America/New_York:20210507T150000
DTSTAMP:20260407T174818
CREATED:20210420T203230Z
LAST-MODIFIED:20210420T203230Z
UID:10006770-1620394200-1620399600@seasevents.nmsdev7.com
SUMMARY:ODEI Spotlight: Conversations with GABE about our Classrooms and Diversity
DESCRIPTION:This event will have two sessions. You are encouraged to attend both. Each session is 45 minutes long. The first session is for students only\, and it provides a platform for students to discuss openly about factors that make graduate school difficult. The second session is a moderated Q&A. This session aims to acquaint students with BE faculty members passionate about advancing the department’s diversity and inclusion efforts. Panelists will give a quick introduction to who they are and why diversity and inclusion is important to them. We would also discuss initiatives that the BE program and school of engineering have implemented addressing diversity and inclusion (removal of GRE requirement\, formation of a DEI/DE committee\, etc.). Finally\, some potential topic of conversations: \n\nHow has engaging diverse students in the virtual environment been similar or different for you as faculty? How can engagement be encouraged?\nWhat are the core issues of diversity and inclusion (from the perspective of faculty members)\, and what steps can be taken to address them?\nInternational students are an important part of the Penn Engineering Community. How is the bioengineering department assisting their inclusion?\n\nZoom: https://upenn.zoom.us/j/99110942740
URL:https://seasevents.nmsdev7.com/event/odei-spotlight-conversations-with-gabe-about-our-classrooms-and-diversity/
LOCATION:PA
CATEGORIES:Diversity, Equity and Inclusion
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20210507T093000
DTEND;TZID=America/New_York:20210507T121500
DTSTAMP:20260407T174818
CREATED:20210430T140232Z
LAST-MODIFIED:20210430T140232Z
UID:10006778-1620379800-1620389700@seasevents.nmsdev7.com
SUMMARY:May 2021 Robotics Master’s Thesis Presentations
DESCRIPTION:9:30am – Welcome from Ani Hsieh \n9:35am – Weiyu Du\n“Learning Human Affordance in the Wild”\nAdvised by: Jianbo Shi \n9:55am – Jie Min\n“Instance-aware imagesuper-resolution”\nAdvised by: Jianbo Shi \n10:15am – Shenghao Zhou\n“Image Synthesis with Latent Space Embedding”\nAdvised by: Jianbo Shi \n10:35am – Jun Wang\n“Model Based Robust SemanticSegmentation”\nAdvised by: George Pappas and HamedHassani \n10:55am – Nicole Chiou\n“Cross-Domain Transfer Learning withMulti-Task Learning for Cardiac  Arrhythmia Classification”\nAdvised by: Rahul Mangharam (ROBOAdvisor: Eric Eaton) \n11:15am – Jianxiong Cai\n“Deep Hypothesis Testing Network for Monocular Time-to-collision Prediction with Front-end Spatial-Temporal Transformation”\nAdvised by: CJ Taylor \n11:35am – Brandon Gonzalez\n“Exploring Development of NovelSensor Systems for Occupancy Detection”\nAdvised by: CJ Taylor and MadhuAnnapragada \n11:55am – Adarsh Kulkarni\n“Deep Learning of FootstepPlanning for Legged Robots on Unstructured Terrain”\nAdvised by: CJ Taylor \n12:15pm- End \nJoin the Robotics Master’s Thesis Presentations through Zoom: \nZoom Link: https://upenn.zoom.us/j/99255734129?pwd=U1lQSlpYMmQzaENrbzJHZnJCV2xidz09\nMeeting ID: 992 5573 4129\nPasscode: 465092
URL:https://seasevents.nmsdev7.com/event/may-2021-robotics-masters-thesis-presentations/
LOCATION:Zoom
CATEGORIES:Master's
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:20210503T150000
DTEND;TZID=America/New_York:20210503T160000
DTSTAMP:20260407T174818
CREATED:20210426T195420Z
LAST-MODIFIED:20210426T195420Z
UID:10006776-1620054000-1620057600@seasevents.nmsdev7.com
SUMMARY:ESE Seminar: "Demystifying the Efficiency of Reinforcement Learning: Two Recent Stories"
DESCRIPTION:Reinforcement learning (RL)\, which is frequently modeled as sequential learning and decision making in the face of uncertainty\, is garnering growing interest in recent years due to its remarkable success in practice. In contemporary RL applications\, it is increasingly more common to encounter environments with prohibitively large state and action space\, thus imposing stringent requirements on the sample and computational efficiency of the RL algorithms in use. Despite the empirical success\, however\, the theoretical underpinnings for many popular RL algorithms remain highly inadequate even for the tabular setting. \nIn this talk\, we present two vignettes regarding the effectiveness of RL algorithms. The first vignette demonstrates that a perturbed model-based RL approach is minimax optimal under a generative model\, without suffering from a sample size barrier that was present in all past work. The second vignette covers policy optimization in reinforcement learning. On the one hand\, we demonstrate that the popular softmax policy gradient method can take exponential time to converge; on the other hand\, employing natural policy gradients and enforcing entropy regularization provably achieve fast global convergence. These results cover two distinctive RL paradigms\, and might shed light on the efficacy of these algorithms in more complicated scenarios. \nFor the seminar link\, email Danielle T. Kopicko at dtadros@seas.upenn.edu.
URL:https://seasevents.nmsdev7.com/event/ese-seminar-demystifying-the-efficiency-of-reinforcement-learning-two-recent-stories/
LOCATION:https://upenn.zoom.us/j/96715197752
CATEGORIES:Seminar
ORGANIZER;CN="Electrical and Systems Engineering":MAILTO:eseevents@seas.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20210503T120000
DTEND;TZID=America/New_York:20210503T130000
DTSTAMP:20260407T174818
CREATED:20210420T182336Z
LAST-MODIFIED:20210420T182336Z
UID:10006769-1620043200-1620046800@seasevents.nmsdev7.com
SUMMARY:PSOC Webinar: “Revisiting the Reciprocal Mechanical Interactions Between Cancers and Tissue“ (Bo Sun)
DESCRIPTION:Title: “Revisiting the Reciprocal Mechanical Interactions between Cancers and Tissue”\n \nPhysical Sciences in Oncology Center PSOC@Penn \nSpring 2021 Webinar Series Mondays at 12:00 noon (EDT) \nFor webinar links\, please contact manu@seas.upenn.edu
URL:https://seasevents.nmsdev7.com/event/psoc-webinar-bo-sun/
LOCATION:https://upenn.zoom.us/j/96715197752
CATEGORIES:Seminar
ORGANIZER;CN="PSOC":MAILTO:manu@seas.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20210430T103000
DTEND;TZID=America/New_York:20210430T113000
DTSTAMP:20260407T174818
CREATED:20210419T181713Z
LAST-MODIFIED:20210419T181713Z
UID:10006767-1619778600-1619782200@seasevents.nmsdev7.com
SUMMARY:MEAM Thesis Defense: "Inkjet Printed Neuromorphic Inference Circuits with Memristor-Based Neuron Network"
DESCRIPTION:The deployment of machine learning inference algorithms on Internet of Things (IoT) devices remains challenging. Despite the low fabrication cost\, flexibility\, and low power consumption of the printed electronics for IoT applications\, there are not many demonstrations of printed electronics solving neural network tasks\, mainly due to the poor electrical performance\, low device yield\, and large footprint of printed thin-film transistors. In this study\, we design and fabricate an inkjet-printed all-passive neuromorphic circuit based on printable memristor neuron architecture. The fully inkjet printed memristor is based on Ag/Poly(3\,4-ethylenedioxythiophene): poly(styrenesulfonate) (PEDOT:PSS)/Ag. It shows bipolar resistance switching with low switching voltage (0.1~0.2V)\, good stability (9 days)\, high cyclability (200 cycles)\, and a large ON-to-OFF resistance margin (~40). A write-once-read-many times (WORM) memory is also observed in the proposed memristor when a large voltage (~3V) is applied. To present the neuromorphic computing capability\, we fabricated the circuit that can realize the XOR classification problem with 100% accuracy\, 0.7 cm2 size\, and power consumption of 0.68 mW\, by integrating the inkjet printed memristors with inkjet printed silver resistors. After establishing the device model of the inkjet printed memristors\, we demonstrate via SPICE circuit simulations how a shallow network of memristor-resistors-based passive neuron networks can solve the IRIS classification problem with 95% accuracy and 2 mW power consumption. By providing the fabrication and simulation of the proposed memristor-based shallow multilayer perceptron\, this thesis paves the way for low-power and low-cost neuromorphic inference devices for future applications of IoT.
URL:https://seasevents.nmsdev7.com/event/meam-thesis-defense-inkjet-printed-neuromorphic-inference-circuits-with-memristor-based-neuron-network/
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
END:VCALENDAR