Data-Based Methods for Materials Design and Discovery

Machine learning methods are changing the way we design and discover new materials. This book provides an overview of approaches successfully used in addressing materials problems (alloys, ferroelectrics, dielectrics) with a focus on probabilistic methods, such as Gaussian processes, to accurately estimate density functions.

Metodele de invatare automata schimba modul in care proiectam si descoperim noi materiale. Aceasta carte ofera o prezentare generala a abordarilor utilizate cu succes in abordarea problemelor materialelor (aliaje, feroelectrice, dielectrice), cu accent pe metode probabilistice, cum ar fi procesele Gaussiene, pentru a estima cu exactitate functiile de densitate.