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Toward Accelerating Discovery via Physics-Driven and Interactive Multifidelity Bayesian Optimization
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: Both computational and experimental material discovery bring forth the challenge of exploring multidimensional and often nondifferentiable parameter spaces, such as phase diagrams of Hamiltonians with multiple interactions, ...
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