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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, ...
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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