Review
Open access
Sep 2026
Integration of density functional theory and machine learning for materials discovery in energy applications
This review critically surveys the integration of DFT and ML across the energy-materials landscape and concludes that the DFT - ML framework has matured from a proof of concept into an important engine of energy materials discovery.
Jeslin Jebish G. P
· Discover Chemistry · 0 citations