TY - JOUR
T1 - Achieving accurate entropy and melting point by ab initio molecular dynamics and zentropy theory
T2 - Application to fluoride and chloride molten salts
AU - Shang, Shunli
AU - Hew, Nigel L.E.
AU - Gong, Rushi
AU - Cockrell, Cillian
AU - Bingham, Paul A.
AU - Guo, Xiaofeng
AU - Li, Jingjing
AU - Hong, Qi Jun
AU - Liu, Zi Kui
N1 - Publisher Copyright:
© 2025 Elsevier B.V.
PY - 2025/11/15
Y1 - 2025/11/15
N2 - We have recently developed a breakthrough methodology for rapidly computing entropy in both solids and liquids by integrating a multiscale entropy approach (known as zentropy theory) with molecular dynamics (MD) simulations. This approach enables entropy estimation from a single MD trajectory by analyzing the probabilities of local structural configurations and atomic distributions, effectively addressing the long-standing challenge of capturing configurational entropy, particularly for liquid. Here, we demonstrate the power of this method by predicting entropies, enthalpies, and melting points of 25 binary and ternary fluoride- and chloride-based molten salts using ab initio MD (AIMD) simulations. The remarkable agreement between our predictions and experimental data underscores the potential of this approach to transform computational thermodynamics, offering accurate, efficient, and direct predictions of thermodynamic properties across both solid and liquid phases.
AB - We have recently developed a breakthrough methodology for rapidly computing entropy in both solids and liquids by integrating a multiscale entropy approach (known as zentropy theory) with molecular dynamics (MD) simulations. This approach enables entropy estimation from a single MD trajectory by analyzing the probabilities of local structural configurations and atomic distributions, effectively addressing the long-standing challenge of capturing configurational entropy, particularly for liquid. Here, we demonstrate the power of this method by predicting entropies, enthalpies, and melting points of 25 binary and ternary fluoride- and chloride-based molten salts using ab initio MD (AIMD) simulations. The remarkable agreement between our predictions and experimental data underscores the potential of this approach to transform computational thermodynamics, offering accurate, efficient, and direct predictions of thermodynamic properties across both solid and liquid phases.
UR - https://www.scopus.com/pages/publications/105017845897
UR - https://www.scopus.com/pages/publications/105017845897#tab=citedBy
U2 - 10.1016/j.molliq.2025.128651
DO - 10.1016/j.molliq.2025.128651
M3 - Article
AN - SCOPUS:105017845897
SN - 0167-7322
VL - 438
JO - Journal of Molecular Liquids
JF - Journal of Molecular Liquids
M1 - 128651
ER -