Bayesian Optimization for Materials Science

This book provides a short and concise introduction to Bayesian optimization specifically for experimental and computational materials scientists. After explaining the basic idea behind Bayesian optimization and some applications to materials science in Chapter 1, the mathematical theory of Bayesian...

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Bibliographic Details
Main Author: Packwood, Daniel
Format: eBook
Language:English
Published: Singapore Springer Nature Singapore 2017, 2017
Edition:1st ed. 2017
Series:SpringerBriefs in the Mathematics of Materials
Subjects:
Online Access:
Collection: Springer eBooks 2005- - Collection details see MPG.ReNa
Table of Contents:
  • Chapter 1. Overview of Bayesian optimization in materials science
  • Chapter 2. Theory of Bayesian optimization
  • Chapter 3. Bayesian optimization of molecules adsorbed to metal surfaces