TY  - GEN 
AU  - Šlepavičius, Justinas
AU  - Patti, Alessandro
AU  - Avendaño, Carlos
PY  - 2024
UR  - https://hdl.handle.net/10481/98413
AB  - In our previous work [J. Chem. Phys. 159, 024127 (2023)], we applied three Machine Learning (ML) models to predict the self-diffusion coefficient of spherical particles interacting via the Mie potential. Here, we introduce an optimization approach...
LA  - eng
PB  - American Institute of Physics
KW  - Machine learning
KW  - Mie fluids
KW  - Molecular Dynamics
TI  - Predicting self-diffusion coefficients of small molecular fluids using machine 2 learning and the statistical associating fluid theory for Mie segments
ER  -