High‐dimensional Bayesian optimization for metamaterial design

High‐dimensional Bayesian optimization for metamaterial design

Abstract Metamaterial design, encompassing both microstructure topology selection and geometric parameter optimization, constitutes a high‐dimensional optimization problem, with computationally expensive and time‐consuming design evaluations. Bayesian optimization (BO) offers a promising approach fo...

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Bibliographic Details
Main Authors: Zhichao Tian, Yang Yang, Sui Zhou, Tian Zhou, Ke Deng, Chunlin Ji, Yejun He, Jun S. Liu
Format: Article
Language:English
Published: Wiley-VCH 2024-12-01
Series:Materials Genome Engineering Advances
Subjects:
high‐dimensional bayesian optimization
metamaterial design
mutual information maximization
surrogate modeling
trust region bayesian optimization
variational autoencoders
Online Access:https://doi.org/10.1002/mgea.79
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https://doi.org/10.1002/mgea.79

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