Computational Discovery of Energy Materials
Abstract
RecommendationsA ccurate methods for electronic structure calculations for materials have greatly boosted our understanding of and predictive capabilities for new energy materials.This Special Issue titled Computational Discovery Energy Materials for ACS Applied Energy Materials represents important articles published during 2025.They highlight the state of the art of the growth in this emerging area and represent diversity in terms of the scope and contributions across the subdisciplines in latest energy research.
Fields of Study & Subjects
Machine Learning in Materials Science
Advanced Chemical Physics Studies
Electrocatalysts for Energy Conversion
Publication details
- Journal / source
- ACS Applied Energy Materials
- Volume
- 9
- Issue
- 4
- Pages
- 1977–1978
- Publication date
- 23 February 2026
- Language
- EN