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DTSTART;TZID=America/New_York:20201023T140000
DTEND;TZID=America/New_York:20201023T150000
DTSTAMP:20260407T152248
CREATED:20201016T130532Z
LAST-MODIFIED:20201016T130532Z
UID:10006526-1603461600-1603465200@seasevents.nmsdev7.com
SUMMARY:PICS Seminar: "Simulating solids like fluids:  A fully Eulerian approach to fluid-structure interaction"
DESCRIPTION:Abstract: Fluids and solids tend to be addressed using distinct computational perspectives.  Solid deformation is most commonly simulated with Lagrangian finite-element methods\, whereas fluid flow is amenable to Eulerian-frame approaches such as finite difference and finite volume methods.  Problems that mix fluid and solid behaviors simultaneously present interesting numerical challenges.   Here we focus on fluid-structure interaction (FSI) problems\, and discuss an emerging method called the Reference Map Technique\, which allows us to simulate deformable solids on a fixed Eulerian grid.  The key is to store and update the reference map field on the grid\, which tracks the inverse motion.  Using this technique to represent the solid phase\, we can solve all phases of an FSI problem on a single fixed grid using fast update procedures very similar to those used in two-phase Navier-Stokes fluid simulations.   Various solid constitutive behaviors can be used\, such as nonlinear elasticity and plasticity.  Systems of many submerged and interacting solids can be simulated\, and\, by activating the solids internally\, we can simulate systems of “soft swimmers”.  Incompressibility and rigidity constraints can be applied in all phases by adopting Eulerian projection approaches commonly used in CFD.  The addition of the reference map field to the grid also presents certain benefits when computing level-set interface advection\, including a procedure to guarantee mass conservation. \n 
URL:https://seasevents.nmsdev7.com/event/pics-seminar-simulating-solids-like-fluids-a-fully-eulerian-approach-to-fluid-structure-interaction/
LOCATION:PA
CATEGORIES:Seminar
ORGANIZER;CN="Penn Institute for Computational Science (PICS)":MAILTO:dkparks@seas.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20201023T140000
DTEND;TZID=America/New_York:20201023T150000
DTSTAMP:20260407T152248
CREATED:20200916T125335Z
LAST-MODIFIED:20200916T125335Z
UID:10006499-1603461600-1603465200@seasevents.nmsdev7.com
SUMMARY:PICS Colloquium: "Data-driven model reduction and multiscale modal decomposition for complex chaotic systems"
DESCRIPTION:Many complex nonequilibrium systems\, including turbulent flows\, are characterized by chaotic dynamics\, a large number of degrees of freedom\, and hierarchical\, multiscale structure in space and time. In two vignettes\, we describe some recent work aimed at developing and applying machine learning and data science tools for systems displaying these characteristics. \nThe first vignette builds on the idea that while partial differential equations are formally infinite- dimensional\, the presence of energy dissipation drives the long-time dynamics onto a finite-dimensional invariant manifold sometimes called an inertial manifold (IM).  We describe a data-driven framework to represent chaotic dynamics on this manifold and illustrate it with data from simulations of the Kuramoto-Sivashinsky equation. A hybrid method combining linear and nonlinear (neural-network) dimension reduction transforms between coordinates in the full state space and on the IM. Additional neural networks predict time evolution on the IM; this can be done in either the discrete-time (difference equation) or continuous-time (ordinary differential equation) setting. The formalism accounts for translation invariance and energy conservation\, and substantially outperforms linear dimension reduction\, reproducing very well key dynamic and statistical features of the attractor. \nThe second vignette addresses how to represent flow or other fields with multiscale structure. We describe a method\, inspired by wavelet analysis\, that adaptively decomposes a dataset into an hierarchy of structures (specifically orthogonal basis vectors) localized in scale and space: a “data-driven wavelet decomposition”. This decomposition reflects the inherent structure of the dataset it acts on. In particular\, when applied to turbulent flow data\, it reveals spatially localized\, self-similar\, hierarchical structures. It is important emphasize that self-similarity is not built into the analysis\, rather\, it emerges from the data. This approach is a starting point for the characterization of localized hierarchical turbulent structures that we may think of as the building blocks of turbulence. It will also find application to other systems\, such as atmospheres\, oceans\, biological tissues\, active matter and many others\, that display multiscale spatiotemporal structure. \n  \n 
URL:https://seasevents.nmsdev7.com/event/pics-colloquium-data-driven-model-reduction-and-multiscale-modal-decomposition-for-complex-chaotic-systems/
LOCATION:PA
CATEGORIES:Colloquium
ORGANIZER;CN="Penn Institute for Computational Science (PICS)":MAILTO:dkparks@seas.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20201023T120000
DTEND;TZID=America/New_York:20201023T130000
DTSTAMP:20260407T152248
CREATED:20201015T183605Z
LAST-MODIFIED:20201015T183605Z
UID:10006524-1603454400-1603458000@seasevents.nmsdev7.com
SUMMARY:SIG Seminar: "Physics-based Animation at Pixar"
DESCRIPTION:Pixar’s films rely heavily on physically simulated effects such as the motion of hairs\, cloth\, and water\, to cite a few. Whereas physical accuracy is of paramount importance in engineering applications\, the most important aspects of feature film productions are directability and speed. In this talk\, I’ll survey our recent work in this area\, including robust hyperelastic materials model for volume simulation and high-performance physically-based sculpting techniques.
URL:https://seasevents.nmsdev7.com/event/sig-seminar-physics-based-animation-at-pixar/
LOCATION:PA
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20201022T150000
DTEND;TZID=America/New_York:20201022T160000
DTSTAMP:20260407T152248
CREATED:20200709T141640Z
LAST-MODIFIED:20200709T141640Z
UID:10006439-1603378800-1603382400@seasevents.nmsdev7.com
SUMMARY:BE Seminar: "High-throughput Screening of a Combinatorial CAR Co-stimulatory Domain Library" (Kyle Daniels)
DESCRIPTION:This event will be held virtually on zoom. Check email for zoom link or email ksas@seas.upenn.edu. \nCAR T cells—T cells engineered to express a chimeric antigen receptor that redirects their function to a specific antigen—have proven to be an effective therapy for certain B cell cancers\, but many issues remain in order to apply CAR T cells to a broader range of cancers. The activity of CAR T cells can be  modulated by varying their co-stimulatory domains. Most CARs use co-stimulatory domains from natural proteins such as 41BB or CD28\, each of which contains motifs that recruit unique signaling molecules and elicit a corresponding T cell response. One strategy to achieve increased control over T cell function is to engineer synthetic co-stimulatory domains composed of novel combinations of motifs from natural co-stimulatory proteins. We constructed libraries of CARs containing synthetic co-stimulatory domains and screened these library in primary human T cells for the ability to promote proliferation\, degranulation\, and memory formation. The results of the screens give insights into how signaling motifs dictate cell function and offer clues on how to engineer co-stimulatory domains that promote desired CAR T cell functions.
URL:https://seasevents.nmsdev7.com/event/be-seminar-2/
LOCATION:PA
CATEGORIES:Seminar
ORGANIZER;CN="Bioengineering":MAILTO:be@seas.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20201022T110000
DTEND;TZID=America/New_York:20201022T120000
DTSTAMP:20260407T152248
CREATED:20201020T162006Z
LAST-MODIFIED:20201020T162006Z
UID:10006528-1603364400-1603368000@seasevents.nmsdev7.com
SUMMARY:ESE Seminar: "New Tools for Better Understanding Social Networks"
DESCRIPTION:We shall examine in our talk concepts and tools for the analysis of social networks. We shall present in particular YouTube and Twitter. For YouTube\, we point at shortcomings in ways to measure audience retention and propose new concepts to better quantify desirable properties. We then present a geo-linguistic analysis of Twitter based on daily periodograms and use these to study the evolution of languages as seen in Twitter.
URL:https://seasevents.nmsdev7.com/event/ese-seminar-new-tools-for-better-understanding-social-networks/
LOCATION:Zoom – Email ESE for Link jbatter@seas.upenn.edu
CATEGORIES:Seminar,Faculty,Colloquium,Graduate,Undergraduate
ORGANIZER;CN="Electrical and Systems Engineering":MAILTO:eseevents@seas.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20201022T104500
DTEND;TZID=America/New_York:20201022T114500
DTSTAMP:20260407T152248
CREATED:20200828T153817Z
LAST-MODIFIED:20200828T153817Z
UID:10006456-1603363500-1603367100@seasevents.nmsdev7.com
SUMMARY:MSE Seminar: "Polymer Informatics: Current Status & Critical Next Steps"
DESCRIPTION:The Materials Genome Initiative (MGI) has heralded a sea change in the philosophy of materials design. In an increasing number of applications\, the successful deployment of novel materials has benefited from the use of computational\, experimental and informatics methodologies. Here\, we describe the role played by computational and experimental data generation and capture\, polymer fingerprinting\, machine-learning based property prediction models\, and algorithms for designing polymers meeting target property requirements. These efforts have culminated in the creation of an online Polymer Informatics platform (https://www.polymergenome.org) to guide ongoing and future polymer discovery and design [1-3]. Challenges that remain will be examined\, and systematic steps that may be taken to extend the applicability of such informatics efforts to a wide range of technological domains will be discussed. These include strategies to deal with the data bottleneck\, new methods to represent polymer morphology and processing conditions\, and the applicability of emerging AI algorithms for materials design.
URL:https://seasevents.nmsdev7.com/event/mse-seminar-polymer-informatics-current-status-critical-next-steps/
LOCATION:PA
ORGANIZER;CN="Materials Science and Engineering":MAILTO:johnruss@seas.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20201021T150000
DTEND;TZID=America/New_York:20201021T160000
DTSTAMP:20260407T152248
CREATED:20200916T235445Z
LAST-MODIFIED:20200916T235445Z
UID:10006501-1603292400-1603296000@seasevents.nmsdev7.com
SUMMARY:CBE Seminar: "Engineering Pathways Across Biological Barriers"
DESCRIPTION:Abstract \nEngineering pathways across biological barriers is entering a new era with the rapid advancement of computational resources. My research group focuses on developing multi-scale simulation methods to elucidate the interfacial phenomena associated with biological barriers that play a role in life-threatening diseases\, such as Alzheimer’s\, cancer\, and chronic infections. Our goal is to influence this experimentally-dominated research field by providing mechanistic\, structural\, and molecular insights into the barrier functions that were computationally unattainable prior to our work. In past few years\, we have made breakthroughs in three research domains: elucidated the molecular architecture of the blood-brain barrier and developed strategies to enhance the barrier’s permeability for treatment of the neurodegenerative diseases; developed telodendrimer-based nanocarriers for efficient delivery of approved anticancer drugs for treatment of solid tumors; and designed an online computational platform to screen libraries of small molecules for their permeability across bacterial membranes\, and determine their use as antibiotics for treatment of chronic infections. All three research domains have ties with experimental groups to ensure the validity of our research findings. In my talk\, I will elaborate on our computational methods\, present the key results\, and provide a perspective on the long-term research goals of the group.
URL:https://seasevents.nmsdev7.com/event/cbe-seminar-engineering-pathways-across-biological-barriers/
LOCATION:Zoom – Email CBE for link
CATEGORIES:Seminar,Doctoral,Graduate,Student,Master's
ORGANIZER;CN="Chemical and Biomolecular Engineering":MAILTO:cbemail@seas.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20201021T120000
DTEND;TZID=America/New_York:20201021T130000
DTSTAMP:20260407T152248
CREATED:20200902T125018Z
LAST-MODIFIED:20200902T125018Z
UID:10006469-1603281600-1603285200@seasevents.nmsdev7.com
SUMMARY:PICS Alumni Spotlight: "Whelton Miller"
DESCRIPTION:The PICS alumni Spotlight is an opportunity for students to learn from and network with alumni.
URL:https://seasevents.nmsdev7.com/event/pics-alumni-spotlight-whelton-miller/
LOCATION:Zoom – Email CIS for link\, cherylh@cis.upenn.edu
CATEGORIES:Alumni
ORGANIZER;CN="Penn Institute for Computational Science (PICS)":MAILTO:dkparks@seas.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20201020T150000
DTEND;TZID=America/New_York:20201020T160000
DTSTAMP:20260407T152248
CREATED:20201007T185556Z
LAST-MODIFIED:20201007T185556Z
UID:10006521-1603206000-1603209600@seasevents.nmsdev7.com
SUMMARY:CIS Seminar: "Theoretical Reflections on Quantum Supremacy"
DESCRIPTION:The recent demonstration of quantum supremacy by Google is a first step towards the era of small to medium scale quantum computers. In this talk I will explain what the experiment accomplished and the theoretical work it is based on\, as well as what it did not accomplish and the many theoretical and practical challenges that remain. I will also describe recent breakthroughs in the design of protocols for the testing and benchmarking of quantum computers\, a task that has deep computational and philosophical implications. Specifically\, this leads to protocols for scalable and verifiable quantum supremacy\, certifiable quantum random generation and verification of quantum computation.
URL:https://seasevents.nmsdev7.com/event/cis-seminar-theoretical-reflections-on-quantum-supremacy/
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:20201020T103000
DTEND;TZID=America/New_York:20201020T120000
DTSTAMP:20260407T152248
CREATED:20200908T131425Z
LAST-MODIFIED:20200908T131425Z
UID:10006475-1603189800-1603195200@seasevents.nmsdev7.com
SUMMARY:MEAM Seminar: "Engineering Solutions for Tough Problems in Trauma: From Occlusion Balloons to Decision-Support"
DESCRIPTION:Acute hemorrhage and hemorrhagic shock result in approximately 60\,000 annual deaths in the United States. The vast majority of these deaths are in severely injured patients\, but experts in trauma care believe many of these deaths can actually be prevented. Efforts focused on injury prevention and pre-emptive intervention have produced some improvements in survival. However\, for those who sustain severe injuries\, a range of engineering solutions could mitigate the risk of death from hemorrhage. \nIn this talk\, I will review the current epidemiology of acute hemorrhage and our understanding of hemorrhagic shock. I will then explore several recent innovations designed to stop acute hemorrhage and guide teams in real-time management: balloon aortic occlusion and hemorrhage decision support. These innovations will be discussed in the context of the regulatory hurdles that must be navigated to bring these and other similar innovations to the bedside.
URL:https://seasevents.nmsdev7.com/event/meam-seminar-engineering-solutions-for-tough-problems-in-trauma-from-occlusion-balloons-to-decision-support/
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:20201019T120000
DTEND;TZID=America/New_York:20201019T130000
DTSTAMP:20260407T152248
CREATED:20200908T165948Z
LAST-MODIFIED:20200908T165948Z
UID:10006478-1603108800-1603112400@seasevents.nmsdev7.com
SUMMARY:PSOC Webinar: “A three dimensional extracellular matrix supports organoid phenotype by reducing cortical actin tension to maintain endoplasmic reticulum function” (FuiBoon Kai)
DESCRIPTION:“A three dimensional extracellular matrix supports organoid phenotype by reducing cortical actin tension to maintain endoplasmic reticulum function” \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-a-three-dimensional-extracellular-matrix-supports-organoid-phenotype-by-reducing-cortical-actin-tension-to-maintain-endoplasmic-reticulum-function-fuiboon-kai/
LOCATION:PA
CATEGORIES:Seminar
ORGANIZER;CN="PSOC":MAILTO:manu@seas.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20201017T100000
DTEND;TZID=America/New_York:20201017T160000
DTSTAMP:20260407T152248
CREATED:20200902T132200Z
LAST-MODIFIED:20200902T132200Z
UID:10006473-1602928800-1602950400@seasevents.nmsdev7.com
SUMMARY:PICS: "C++ Workshop"
DESCRIPTION:The Penn Institute for Computational Science (PICS) is proud to host a C++ workshop on Saturday\, October 17 from 10:00am – 3:30pm via Zoom. This one day workshop will teach students the basic skills needed to program in C++. We ask that anyone who attends has at least one year of prior programming experience in any language. \nYou must click here and RSVP to attend this event. The class will be capped at 30 people. Students enrolled in the PICS certificate program will receive priority enrollment.
URL:https://seasevents.nmsdev7.com/event/pics-c-workshop/
LOCATION:Zoom – Email CIS for link\, cherylh@cis.upenn.edu
CATEGORIES:Workshop
ORGANIZER;CN="Penn Institute for Computational Science (PICS)":MAILTO:dkparks@seas.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20201016T100000
DTEND;TZID=America/New_York:20201016T110000
DTSTAMP:20260407T152248
CREATED:20200924T194101Z
LAST-MODIFIED:20200924T194101Z
UID:10006514-1602842400-1602846000@seasevents.nmsdev7.com
SUMMARY:SIG Seminar: "Uncertainty-Driven Geometry Reconstruction and Understanding"
DESCRIPTION:Choosing suitable data representations is one of the most critical topics when installing machine learning on 3D data. This talk discusses several recent works on utilizing uncertainty as a lens to develop suitable data representations and formulations for geometry reconstruction and understanding. We will discuss both theoretical results and applications in multi-scan registration\, pose estimation\, and scene understanding.
URL:https://seasevents.nmsdev7.com/event/sig-seminar-uncertainty-driven-geometry-reconstruction-and-understanding/
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:20201015T104500
DTEND;TZID=America/New_York:20201015T114500
DTSTAMP:20260407T152248
CREATED:20200828T153254Z
LAST-MODIFIED:20200828T153254Z
UID:10006455-1602758700-1602762300@seasevents.nmsdev7.com
SUMMARY:MSE Seminar: "The interplay between phase transformation and deformation mechanisms in multicomponent metal alloys"
DESCRIPTION:Phase prediction in multicomponent alloys remains one of the most fundamental challenges. Navigating the vast compositional space of these alloys requires a predictive capability to efficiently guide alloy discovery and microstructure design. Recently\, Dr. Ghazisaeidi has developed a Multicell Monte Carlo (MC)^2 method\, based on first-principles calculations\, to study phase formation in multicomponent alloys. This method is particularly powerful when applied to multicomponent systems\, for which phase diagrams do not exist. First\, she introduce the (MC)^2 method and present its successful prediction of the stable phases of known binary systems. Next\, she will present the application of (MC)^2 to “high entropy” alloys and discuss the effect of emerging stable phases on deformation mechanisms and consequently the overall mechanical behavior.
URL:https://seasevents.nmsdev7.com/event/mse-seminar-characterization-of-complex-eutectic-microstructures-2/
LOCATION:PA
ORGANIZER;CN="Materials Science and Engineering":MAILTO:johnruss@seas.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20201014T150000
DTEND;TZID=America/New_York:20201014T160000
DTSTAMP:20260407T152248
CREATED:20200921T212930Z
LAST-MODIFIED:20200921T212930Z
UID:10006509-1602687600-1602691200@seasevents.nmsdev7.com
SUMMARY:CBE Seminar: "Fuels and Chemicals Decarbonized"
DESCRIPTION:Abstract \nFuels based on hydrocarbons\, taken together with the processing of raw hydrocarbons into chemicals\, account for about half of the United States’ CO2 emissions. Efforts to lessen the CO2 footprint of these activities have the potential to make a significant impact on total greenhouse emissions. We focus on taking CO2 and – with energy supplied by low carbon/renewable electricity – turning it into fuels and fuel additives such as methane\, ethanol\, and propanol. I will update on progress in the energy efficiency and intensity (activity) of these processes. We also seek to advance the electrosynthesis of renewable chemicals such as ethylene and – more recently on the anodic side – ethylene glycol and ethylene oxide.
URL:https://seasevents.nmsdev7.com/event/cbe-seminar-fuels-and-chemicals-decarbonized/
LOCATION:Zoom – Email CBE for link
CATEGORIES:Seminar
ORGANIZER;CN="Chemical and Biomolecular Engineering":MAILTO:cbemail@seas.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20201013T120000
DTEND;TZID=America/New_York:20201013T130000
DTSTAMP:20260407T152248
CREATED:20200918T005455Z
LAST-MODIFIED:20200918T005455Z
UID:10006506-1602590400-1602594000@seasevents.nmsdev7.com
SUMMARY:ESE Seminar: "Data-driven Decision Making and Estimation in CPS/IoT Networks"
DESCRIPTION:The modern instantiation of a sensor network is a cyberphysical (CPS) system where CPS subsystems can be interconnected by a shared communication network of limited bandwidth. A common problem in CPS networks is the sensing and communication of spatio-temporal signals. However\, there are fundamental differences between estimation (sensing) and communication. For example\, the type of signal one would design to optimize sensing is very different from that for optimized communication. In this talk\, we explore some of these differences and discuss how joint communication and sensing should occur in different problem settings. In particular\, we examine problems where multiple sensors make observations and must share the communication medium to transmit these signals to a fusion center that will endeavor to perform remote estimation all of the sensed signals. A new class of remote estimation problems\, where the communication resources are allocated dynamically based on the observations at the sensors\, rather than purely on their statistical description is examined. We address the optimal design of a collision avoidance policy by selecting the most informative sensor to transmit at a time. First\, we will establish person-by-person optimal policies for the scheduling of sensors making Gaussian observations. Then\, we will show how our theoretical results can be applied to design scheduling policies where the joint probability density of the observations is unknown using machine learning techniques. We will extend our results to the case when the scheduler uses an energy harvesting battery as well as to the case of purely decentralized decision making. Time permitting\, applications to the case of microbial decision making in quorum sensing networks will be discussed. \n 
URL:https://seasevents.nmsdev7.com/event/ese-seminar-data-driven-decision-making-and-estimation-in-cps-iot-networks/
LOCATION:Zoom – Email ESE for Link jbatter@seas.upenn.edu
CATEGORIES:Seminar,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:20201013T103000
DTEND;TZID=America/New_York:20201013T120000
DTSTAMP:20260407T152248
CREATED:20200831T133050Z
LAST-MODIFIED:20200831T133050Z
UID:10006462-1602585000-1602590400@seasevents.nmsdev7.com
SUMMARY:MEAM Seminar: "Real-Time Reduced Order Modeling using Time-Dependent Basis: Applications in Turbulent Flows and Combustion"
DESCRIPTION:The question of “what set of basis functions should be used?” is of fundamental importance to scientific computing. The performance of different choices of basis is assessed primarily by the rate of convergence and robustness. However\, when the one-dimensional basis is extended to higher dimensions d\, the computational complexity increases exponentially with respect to d. This fundamental challenge has been dubbed the curse of dimensionality and it is one of the greatest impediments to solving many important problems in science and engineering. One of the most promising approaches to beat the curse of dimensionality is exploiting correlations of the solution between various dimensions. In this work\, a framework for extracting and exploiting correlated structures is presented. The correlated structures take the form a set of time-dependent basis. This framework is based on a variational principle whose optimality condition leads to closed form evolution equations for a set time-dependent bases. The bases are directly extracted from the model (e.g. partial differential equations) or from the streaming data. Several applications will be presented including computing sensitivities in chaotic dynamical systems and real-time reduced order modeling of turbulent reactive flows.
URL:https://seasevents.nmsdev7.com/event/meam-seminar-real-time-reduced-order-modeling-using-time-dependent-basis-applications-in-turbulent-flows-and-combustion/
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:20201012T120000
DTEND;TZID=America/New_York:20201012T130000
DTSTAMP:20260407T152248
CREATED:20200908T165615Z
LAST-MODIFIED:20200908T165615Z
UID:10006477-1602504000-1602507600@seasevents.nmsdev7.com
SUMMARY:PSOC Webinar: "Manipulating Macrophage Signaling" (Meghan Morrissey)
DESCRIPTION:“Manipulating Macrophage Signaling – How macrophages measure ‘Eat me’ and ‘Don’t eat me’ signals” \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-manipulating-macrophage-signaling-meghan-morrissey/
LOCATION:PA
CATEGORIES:Seminar
ORGANIZER;CN="PSOC":MAILTO:manu@seas.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20201009T140000
DTEND;TZID=America/New_York:20201009T150000
DTSTAMP:20260407T152248
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
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20201009T100000
DTEND;TZID=America/New_York:20201009T110000
DTSTAMP:20260407T152248
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:20201008T140000
DTEND;TZID=America/New_York:20201008T150000
DTSTAMP:20260407T152248
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:20201008T104500
DTEND;TZID=America/New_York:20201008T114500
DTSTAMP:20260407T152248
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:20201006T150000
DTEND;TZID=America/New_York:20201006T160000
DTSTAMP:20260407T152248
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:20201006T110000
DTEND;TZID=America/New_York:20201006T120000
DTSTAMP:20260407T152248
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:20201006T103000
DTEND;TZID=America/New_York:20201006T120000
DTSTAMP:20260407T152248
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:20201006T090000
DTEND;TZID=America/New_York:20201006T100000
DTSTAMP:20260407T152248
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:20201005T120000
DTEND;TZID=America/New_York:20201005T130000
DTSTAMP:20260407T152248
CREATED:20200908T165205Z
LAST-MODIFIED:20200908T165205Z
UID:10006476-1601899200-1601902800@seasevents.nmsdev7.com
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:20201002T140000
DTEND;TZID=America/New_York:20201002T150000
DTSTAMP:20260407T152248
CREATED:20200914T132816Z
LAST-MODIFIED:20200914T132816Z
UID:10006491-1601647200-1601650800@seasevents.nmsdev7.com
SUMMARY:PICS Seminar: "Fusing machine learning and atomistic simulations for materials design"
DESCRIPTION:Data-driven approaches match or outperform humans at a number of tasks\, including pattern recognition in images and text or planning and strategy in rule-based games. The application of machine learning techniques is also promising for accelerating materials design. However\, experimental data for training is typically scarce and sparse. The interplay between physics-based simulations and data-driven models is particularly advantageous. It allows relying on transferable laws rather than only fitting data in a black box fashion. Meanwhile\, learning from data\nprovides a unique opportunity to parameterize and augment physics-based models\, or completely replace them. \nModels can be built that map the structure and composition of materials to their properties. With such models\, it is\nthen possible to rapidly screen libraries of candidate materials for a desired application before going to the lab. Generative models go one step further and allow tackling the inverse problem: given the desired property\, automatically suggesting a new optimal material that achieves it. \nHow to represent matter so that it can be read into or written by a computer program is key for these coupled tasks of property prediction and materials optimization. Strategies are needed to represent materials in a machine-readable way that is data-efficient\, expressive\, respectful of physical invariants and\, ideally\, invertible. \nHere\, we will discuss our current efforts in building bottom-up atom-level representations for materials design. These include variational autoencoders for dimensionality reduction and inverse design in molecules and polymers\,\nrepresentation and unsupervised learning for graphs and sequences in crystals and polymers\, generative models to\naccelerate Monte Carlo simulations of alloy phase diagrams or end-to-end differentiable simulations. \n 
URL:https://seasevents.nmsdev7.com/event/pics-seminar-fusing-machine-learning-and-atomistic-simulations-for-materials-design/
LOCATION:Zoom – email kathom@seas.upenn.edu
CATEGORIES:Colloquium
ORGANIZER;CN="Penn Institute for Computational Science (PICS)":MAILTO:dkparks@seas.upenn.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20201002T100000
DTEND;TZID=America/New_York:20201002T110000
DTSTAMP:20260407T152248
CREATED:20200924T191009Z
LAST-MODIFIED:20200924T191009Z
UID:10006513-1601632800-1601636400@seasevents.nmsdev7.com
SUMMARY:SIG Seminar:"Differentiable Machine Learning in Deformable Simulation"
DESCRIPTION:Using the digital computer to simulate dynamic behavior of elastic and soft objects is a highly desired feature in many scientific and engineering areas: in computer animation\, it provides realistic effects of soft characters; in surgical simulation\, it delivers vivid visual experiences to the trainee; in digital fabrication\, it couples geometry design and mechanical analysis. While the basic computation model has been well established\, robustly simulating nonlinear and detailed elastic models remains an open problem\, and significant implementation and computation efforts are needed. In this talk\, I will share several new perspectives to tackle those classic yet challenging computation problem. We leverage deep neural nets mapping linear and nonlinear models by carefully crafting informative context features. This framework is called NNWarp. NNWarp is probably the first neural network based deformable simulator. With it\, we obtain nonlinear simulations via solving a fixed linear system (so the complexity is lowed by an order). More importantly\, NNWarp is highly re-usable. The resulting net trained for a rectangular beam can be directly used to simulate a swaying maple tree or a soft Armadillo. To relieve the implementation efforts\, we lift the simulation from high-dimension real domain to high-dimension complex domain. By doing so\, we generalize classic Taylor theory to a new set of equations for numerical differentiation. Unlike classic finite difference method\, this complex-step finite difference method does not suffer with subtractive cancellation issues\, making the implementation joyful\, relaxing and as accurate as using the analytic differentiation. In our recently work\, it is also used for training deep neural works. This is the first true second-order neural network training algorithm that has strong quadratic convergency in various classic network architectures.
URL:https://seasevents.nmsdev7.com/event/sig-seminardifferentiable-machine-learning-in-deformable-simulation/
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:20201001T150000
DTEND;TZID=America/New_York:20201001T160000
DTSTAMP:20260407T152248
CREATED:20200814T180447Z
LAST-MODIFIED:20200814T180447Z
UID:10006445-1601564400-1601568000@seasevents.nmsdev7.com
SUMMARY:BE Seminar: "Predicting the effects of engineering immune cells using systems biology modeling" (Stacey Finley)
DESCRIPTION:This event will be held virtually on zoom. Check your email for the link and passcode or contact ksas@seas.upenn.edu. \nSystems biology approaches\, including computational models\, provide a framework to test biological hypotheses and optimize effective therapeutic strategies to treat human diseases. In this talk\, I present recent work in modeling signaling in cancer-targeting immune cells\, including CAR T cells at Natural Killer cells. Chimeric antigen receptors (CARs) are comprised of a variety of different activating domains and co-stimulatory domains that initiate signaling required for T cell activation. There is a lack of understanding of the mechanisms by which activation occurs. We apply mathematical modeling to investigate how CAR structure influences downstream T cell signaling and develop new hypotheses for the optimal design of CAR-engineered T cell systems. Natural Killer cells also provide a useful platform for targeting cancer cells. However\, NK cells have been shown to exhibit reduced killing ability with prolonged stimulation by cancer cells. We use a combination of mechanistic model\, optimal control theory and in silico synthetic biology to investigate strategies to enhance NK cell-mediated killing.
URL:https://seasevents.nmsdev7.com/event/be-seminar-stacey-finley/
LOCATION:PA
CATEGORIES:Seminar
ORGANIZER;CN="Bioengineering":MAILTO:be@seas.upenn.edu
END:VEVENT
END:VCALENDAR