Probing additives for green lubricants with the aid of machine learning molecular dynamics: The case of gallate molecules for aqueous solutions

Articolo
Data di Pubblicazione:
2025
Citazione:
Probing additives for green lubricants with the aid of machine learning molecular dynamics: The case of gallate molecules for aqueous solutions / Ta, Huong Thi Thuy; Ferrario, Mauro; Loehlé, Sophie; Righi, Maria Clelia. - In: APPLIED SURFACE SCIENCE. - ISSN 0169-4332. - 695:(2025), pp. 1-11. [10.1016/j.apsusc.2025.162836]
Tipologia CRIS:
Articolo su rivista
Keywords:
Gallates; Green lubricants; Machine learning interaction potential; Tribochemical reactions;
Elenco autori:
Autori di Ateneo:
Link alla scheda completa:
https://iris.unimore.it/handle/11380/1374749
Link al Full Text:
Pubblicato in:
APPLIED SURFACE SCIENCE
Journal