Ionic Transport Predicting: A Machine Learning Dive into K 3 HCh (Ch: S, Se, and Te) for Next-Generation Solid State Batteries
Year: 2026
Type: article
Source: ACS Applied Energy Materials
Institution: Amar Telidji University of Laghouat
Language: English
Subfield: Materials Chemistry
Field: Materials Science
Domain: Physical Sciences
Open Access status: closed
OpenAlex ID: W7144055277
