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    • MSE Seminar: “Predicting Properties of Structurally and Chemically Complex Materials using Physics-informed Statistical Learning”

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    To apply statistics and data science tools to aid computational designs of materials is under fast development. There are two unique aspects of the applications of these tools in materials science. First, the training sets are usually small. Second, physical mechanisms of material properties can be applied to facilitate the constructions of descriptors and statistics […]

    BE Seminar: “Predicting the effects of engineering immune cells using systems biology modeling” (Stacey Finley)

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    This event will be held virtually on zoom. Check your email for the link and passcode or contact ksas@seas.upenn.edu. Systems 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, […]

    SIG Seminar:”Differentiable Machine Learning in Deformable Simulation”

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    Zoom - Email CIS for link cherylh@cis.upenn.edu

    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. […]

    PICS Seminar: “Fusing machine learning and atomistic simulations for materials design”

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    Zoom - email kathom@seas.upenn.edu

    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 […]

    MEAM PhD Thesis Defense: “Delivering Expressive and Personalized Fingertip Tactile Cues”

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    Zoom - Email MEAM for Link peterlit@seas.upenn.edu

    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 […]

    MEAM Seminar: “Operator Inference: Bridging Model Reduction and Scientific Machine Learning”

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    Zoom - Email MEAM for Link peterlit@seas.upenn.edu

    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 […]

    ESE Grace Hopper Lecture: “Emerging Non-Volatile Ferroelectric Memory”

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    Zoom - Email ESE for Link jbatter@seas.upenn.edu

    Abstract The 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 […]

    CIS Seminar:”Language, Brain, and Computation”

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    Zoom - Email CIS for link cherylh@cis.upenn.edu

    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 […]

    MSE Seminar: “Characterization of Complex Eutectic Microstructures”

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    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 […]

    BE Seminar: “Imaging and sequencing single cells” (Aaron Streets)

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    This event will be held virtually on zoom. Check your email for the link and passcode or contact ksas@seas.upenn.edu. Recent 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 […]

    SIG Seminar: “A History of Crowd Simulation and Rendering at Pixar”

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    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 […]