Bayesian Optimization for Materials Science

• Κύριος συγγραφέας: Packwood, Daniel (Συγγραφέας)
• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Singapore : Springer Singapore : Imprint: Springer, 2017.
• Σειρά: SpringerBriefs in the Mathematics of Materials, 3
• Θέματα: Materials science.; Statistics.; Materials Science.; Energy Materials.; Statistical Theory and Methods.; Statistical Physics and Dynamical Systems.

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...

Πίνακας περιεχομένων:

• 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.