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machine learning methods for computational materials physics and chemistry. Projects include: The aim is to develop generalized equivariant neural network models NequIP and Allegro for machine learned
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computing applications—mainly for a SWaP-constrained AV—using hybrid electro-photonic accelerators. We propose to design and prototype a complete electro-photonic computing (EPiC) system (CPUs + accelerators
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Details Title Accelerating the EV Transition Postdoctoral Fellow School Faculty of Arts and Sciences Department/Area Salata Institute for Climate and Sustainability Position Description The Salata
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