“High-Entropy Energy Materials in the Age of Big Data: A Critical Guide to Next-Generation Synthesis and Applications” (Adv. Energy Mater. 47/2021)
Qingsong Wang, Leonardo Velasco, Ben Breitung, Volker Presser
First published: 16 December 2021
https://doi.org/10.1002/aenm.202170184
High-entropy materials, providing novel strategies for materials design with tailored properties, are promising candidates for energy storage and conversion. In the cover artwork representing article number 2102355, Qingsong Wang, Leonardo Velasco, Ben Breitung, and Volker Presser, head of the Energy Materials group at INM, discuss the ways in which the integration of theoretical predictions with artificial intelligence and high-throughput experiments can speed up modern data science interpretations and material design strategies for the discovery and application of high-entropy materials.