Predictive design of bistable molecular materials through crystallographic descriptors and supervised machine learning
Year: 2026
Type: preprint
Source: HAL
Author: Castro, Karl
Institution: Institut de Physique de Rennes
Language: English
Subfield: Materials Chemistry
Field: Materials Science
Domain: Physical Sciences
Open Access status: closed
OpenAlex ID: W7204364878