Bayesian optimization for material discovery processes with noise
Author:
Affiliation:
1. Department of Chemical Engineering, Massachusetts Institute of Technology, Cambridge, MA 02139 USA
2. Department of Electrical and Computer Engineering, Technical University of Munich, 80333 Munich, Germany
Abstract
Funder
Division of Civil, Mechanical and Manufacturing Innovation
Publisher
Royal Society of Chemistry (RSC)
Subject
Materials Chemistry,Industrial and Manufacturing Engineering,Process Chemistry and Technology,Energy Engineering and Power Technology,Biomedical Engineering,Chemical Engineering (miscellaneous),Chemistry (miscellaneous)
Link
http://pubs.rsc.org/en/content/articlepdf/2022/ME/D1ME00154J
Reference47 articles.
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3. D. D.Cox and S.John , Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics , 1992 , pp. 1241–1246
4. Application of Bayesian approach to numerical methods of global and stochastic optimization
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