The study of electromagnetic wave interactions with various media is of fundamental significance in both theoretical and applied sciences. Understanding how electromagnetic waves propagate, reflect, refract, and scatter when encountering different materials is essential for the design of advanced technologies in telecommunications, imaging, sensing, and computation. Furthermore, the ability to manipulate wave behavior within diverse […]
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Polymer nanocomposite (PNC) films are of interest for many applications including electronics, energy storage, and advanced coatings. In phase-separating PNCs, the interplay between thermodynamic and kinetic factors governs the assembly of polymer-grafted nanoparticles (NPs), which directly influences material properties. Understanding how processing parameters affect the structure-property relationship of PNCs is important for designing advanced materials. […]
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Abstract: I will survey recent results describing the application of modern non-convex optimization methods to the problems of reconstruction attacks on private datasets (the “poison”), and the algorithmic generation of synthetic versions of private datasets that provably provide strong privacy guarantees (the “cure”). Zoom Link (if unable to attend in-person): https://upenn.zoom.us/j/97716959173
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Biological signaling in the mammalian nervous system spans a dizzying range of spatial and temporal scales. To understand how cellular and molecular signals contribute to physiology and behavior and to treat the neurological and psychiatric conditions our group designs tools that mimic biological complexity yet match the materials properties of tissues. By combining polymer engineering, […]
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Liquid crystal elastomers (LCEs) exhibit complex thermomechanical behaviors that can be harnessed for a wide variety of applications in soft robotics, biomedical devices, and impact protection. The material comprises stiff mesogens bound in an elastomeric network of flexible polymer chains. The mesogens can order and disorder in response to temperature and mechanical deformation. This allows […]
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Abstract: Artificial intelligence holds enormous promise to automate our life. At the same time, AI systems can be incredibly brittle, unreliable, and biased. In this talk, I will present a few approaches towards making AI more reliable, trustworthy, and fair, drawing on recent work on uncertainty quantification and algorithmic fairness. Specifically, I will discuss how to […]
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Abstract: Immunotherapies have achieved remarkable success in treating hematological cancers, yet the solid tumor microenvironment remains a significant barrier to therapeutic breakthroughs. Machine learning (ML)-driven computational protein design offers a powerful approach to creating novel protein components tailored for specific functions. By combining ML-driven design with synthetic biology and immuno-engineering, we have developed innovative tools […]
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The electric grid is undergoing a transformative paradigm shift, driven by sweeping changes in generation, demand, and energy storage. By 2035, solar PV alone is expected to supply 40% of U.S. electricity, with substantial additional contributions from wind, geothermal, and hydroelectric sources—creating a renewable-dominant energy landscape. Meanwhile, electricity demand is accelerating due to rapid growth […]
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Humans and other animals do not always choose the most rewarding course of action, even when we have ample time and computational resources. Why do we make mistakes? The noiseLab uses a combination of theoretical, behavioral, and neurobiological techniques to address this question. In this talk, Dr. Becket Ebitz will discuss converging evidence that mistakes are the product of representational and temporal nonlinearities in neural activity that constrain our ability to make good decisions. The talk will argue that some of these nonlinearities have long-term adaptive benefits, even when they fail to produce the best decision in the moment.
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Humans and other animals do not always choose the most rewarding course of action, even when we have ample time and computational resources.Why do we make mistakes? The noiseLab uses a combination of theoretical, behavioral, and neurobiological techniques to address this question. In this talk, Dr. Becket Ebitz will discuss converging evidence that mistakes are […]
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Glasses are generally regarded as disordered and the idea of “controlling” molecular packing in glasses is reasonably met with skepticism. However, as glasses are non-equilibrium materials, a vast array of amorphous structures are possible in principle. Physical vapor deposition (PVD) produces glasses with properties that cannot be achieved by other preparation routes, including high stability […]
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Soft robots have the potential to adapt their morphologies and behavioral control policies to changing tasks and environments. Inspired by the dynamic plasticity of living organisms and the general adaptability of animals, this talk will discuss several shape-shifting soft robot platforms for multi-task performance and multi-environment locomotion—for example, robotic skins, robotic fabrics, and robots with […]
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In classical auction design, we take it for granted that the auctioneer is trusted and always implements the auction's rules honestly. This assumption, however, no longer holds in modern auctions based on blockchains, or those mediated by third-party platforms such as Google. For example, in blockchain-based auctions, the consensus nodes that partly act as the […]
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Abstract: The efficient sharing of AI infrastructures is becoming increasingly important in both public and private data centers. This demand is driven by two key factors: the proliferation of specialized AI models tailored for different users and applications, and the highly dynamic nature of requests, which are often on-demand. Dedicated GPU allocation in such scenarios […]
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This will be a hybrid event with in-person attendance in Levine 307 and virtual attendance on Zoom. ABSTRACT Modern artificial intelligences (AIs) rely heavily on internet-scale data with unified representations. However, such large-scale homogeneous data isn't readily available for spatial computing applications involving 3D geometry, hindering the development of spatial intelligence— AIs that can generate […]
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Abstract: Neurological conditions are the leading cause of illness worldwide, though over 92% of clinically tested CNS drug candidates fail to become treatments. Contributing to this high failure rate is a lack of understanding of human disease mechanisms, technologies to address them, and the restrictive blood-brain barrier (BBB), which most compounds fail to cross. New […]
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Metals powders like aluminum and boron are attractive potential fuel additives for pyrotechnics, propellants and explosives due to their high energy release upon oxidation. However, they tend to agglomerate, have lengthy ignition delays, and low combustion rates/efficiencies. This work aims to design metal powders with tuned surface, micro-structure, morphology, or chemistries to mitigate these challenges […]
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Our exponential technologies for reading, writing genomes and epigenomes combined with AI-ML has enabled large libraries and selections for radical new functions — e.g. resistance to all viruses, novel delivery vectors for gene therapies, xeno-transplantation, de-extinction, and de-aging. This lecture will be held remotely. Zoom Link: https://upenn.zoom.us/j/94497096918?pwd=5qeoyMcmEyDboMW3bKgSCmWKYBMCbP.1
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This will be a hybrid event with in-person attendance in Wu and Chen and virtual attendance on Zoom. ABSTRACT Motivated by the ever-increasing success of machine learning in language and vision models, many aim to build AI-driven tools for scientific simulation and discovery. Contemporary techniques drastically lag behind their comparatively mature counterparts in modeling and […]
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