Open AccessMachine learning approaches for structural and thermodynamic properties of a Lennard-Jones fluid
Author(s) -
Galen T. Craven,
Nicholas Lubbers,
Kipton Barros,
Sergei Tretiak
Publication year - 2020
Publication title -
journal of chemical physics online/the journal of chemical physics/journal of chemical physics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.071
H-Index - 357
eISSN - 1089-7690
pISSN - 0021-9606
DOI - 10.1063/5.0017894
Subject(s) - statistical physics , radial distribution function , molecular dynamics , function (biology) , range (aeronautics) , kernel (algebra) , observable , computer science , machine learning , thermodynamics , chemistry , physics , mathematics , materials science , computational chemistry , combinatorics , quantum mechanics , evolutionary biology , composite material , biology