AI generated summary of Pubmed citation/abstract with PMID 38091625

https://pubmed.ncbi.nlm.nih.gov/38091625

The abstract reports a study using machine-learning and empirical models to investigate the unusual magnetic interactions and phase transitions in chromium telluride (CrTe), finding that the machine-learning model can handle the complex interactions, and that magnetic moments further apart exhibit stronger interactions than those in closer proximity.