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Best Practices for Multi-Fidelity Bayesian Optimization in Materials and Molecular Research
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Best Practices for Multi-Fidelity Bayesian Optimization in Materials and Molecular Research

Nature Computational Science (Nat. Comput. Sci.), 2024
1 October 2024
Victor Sabanza Gil
Riccardo Barbano
Daniel Pacheco Gutiérrez
J. Luterbacher
José Miguel Hernández-Lobato
Philippe Schwaller
Loïc Roch
ArXiv (abs)PDFHTMLGithub

Papers citing "Best Practices for Multi-Fidelity Bayesian Optimization in Materials and Molecular Research"

1 / 1 papers shown
Building Trustworthy AI for Materials Discovery: From Autonomous Laboratories to Z-scores
Building Trustworthy AI for Materials Discovery: From Autonomous Laboratories to Z-scores
Benhour Amirian
Ashley S. Dale
Sergei Kalinin
Jason Hattrick-Simpers
140
0
0
30 Nov 2025
1
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