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1 event,
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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 […] |
1 event,
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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 […] |
3 events,
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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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1 event,
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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 […] |
1 event,
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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 […] |
1 event,
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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 […] |
3 events,
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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 |
1 event,
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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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