Accelerated Search for BaTiO3‐Based Ceramics with Large Energy Storage at Low Fields Using Machine Learning and Experimental Design

Accelerated Search for BaTiO3‐Based Ceramics with Large Energy Storage at Low Fields Using Machine Learning and Experimental Design

Abstract The problem that is considered is that of maximizing the energy storage density of Pb‐free BaTiO3‐based dielectrics at low electric fields. It is demonstrated that how varying the size of the combinatorial search space influences the efficiency of material discovery by comparing the perform...

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Bibliographic Details
Main Authors: Ruihao Yuan, Yuan Tian, Dezhen Xue, Deqing Xue, Yumei Zhou, Xiangdong Ding, Jun Sun, Turab Lookman
Format: Article
Language:English
Published: Wiley 2019-11-01
Series:Advanced Science
Subjects:
Bayesian optimization
ceramics
energy storage
machine learning
optimal experimental design
Online Access:https://doi.org/10.1002/advs.201901395

Internet

https://doi.org/10.1002/advs.201901395

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