Compositional transferability of deep learning potentials: a case study for LiCl–KCl melt
Crossref DOI link: https://doi.org/10.1007/s00894-024-06084-y
Published Online: 2024-07-26
Published Print: 2024-08
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Zakiryanov, Dmitry
Text and Data Mining valid from 2024-07-26
Version of Record valid from 2024-07-26
Article History
Received: 7 March 2024
Accepted: 16 July 2024
First Online: 26 July 2024
Declarations
:
: The authors declare no competing interests.