Materials Design Through Batch Bayesian Optimization with Multisource Information Fusion

Integrated computational materials engineering (ICME) calls for the integration of simulation tools and experiments to accelerate the development of materials. ICME approaches tend to be computationally costly, and recently, Bayesian optimization (BO) has been proposed as a way to make ICME more res...

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Veröffentlicht in:	JOM (1989) Jg. 72; H. 12; S. 4431 - 4443
Hauptverfasser:	Couperthwaite, Richard, Molkeri, Abhilash, Khatamsaz, Danial, Srivastava, Ankit, Allaire, Douglas, Arròyave, Raymundo
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York Springer US 01.12.2020 Springer Nature B.V
Schlagworte:	Alloys Augmenting Physics-based Models in ICME with Machine Learning and Uncertainty Quantification Bayesian analysis Case studies Chemistry/Food Science Data integration Design optimization Dual phase steels Ductility Earth Sciences Engineering Environment Experiments Fashion models Information sources Materials engineering Materials science Materials selection Optimization Physics Simulation Stochastic models model fusion Computational materials science and engineering knowledge gradient reification
ISSN:	1047-4838, 1543-1851
Online-Zugang:	Volltext
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