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DeWeese Lab at UC Berkeley
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Neuroscience, neural nets, and nonequilibrium stat mech DeWeeseLab&n...
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DeWeese Lab Toggle navigation DeWeese Lab people publications Neuroscience, neural nets, and nonequilibrium stat mech DeWeeseLab DeWeeseLab About the lab We are the lab of Michael DeWeese at UC Berkeley. Our interests fall into three rough categories: Nonequilibrium statistical mechanics. Understanding and designing biomolecules and molecular-scale machines will ultimately require deep understanding of statistical mechanics far from equilibrium, and recent years have brought major breakthroughs in that direction. To that end, we're working on work-energy theorems for active matter and optimal control protocols for fluctuating systems, often bringing in techniques from control theory and Riemannian geometry. Lab members in the statistical physics sector include Adam Frim and Adrianne Zhong . Machine learning theory. Deep neural networks have enabled technological wonders from machine translation to image generation, but, remarkably, nob...
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