Physical Review B · 2010 · 117 citations · 39 references
Natural SciencesMaterials SciencePhysicsComputational ChemistryComputational Materials SciencePhysical ChemistryAb Initio MethodsForce FieldsInteratomic PotentialsMolecular DynamicsPhase TransitionsPotential Energy SurfacesAb Initio Potential Energy SurfacesEmpirical Force FieldsFirst-principles ModelingFirst-principles ThermodynamicsInteratomic Potential ModelsMachine Learning Potential Energy SurfacesMachine Learning PotentialsMachine-learned Interatomic Potentials
An interatomic potential for the diamond and graphite phases of carbon has been created using a neural-network (NN) representation of the ab initio potential energy surface. The NN potential combines the accuracy of a first-principles description of both phases with the efficiency of empirical force fields and allows one to perform a molecular-dynamics study, of ab initio quality, of the thermodynamics of graphite-diamond coexistence. Good agreement between the experimental and calculated coexistence curves is achieved if nuclear quantum effects are included in the simulation.
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F. Tuinstra, Jack L. Koenig · The Journal of Chemical Physics · 1970 · 10.6K citations
Natural Sciences, Materials Engineering, Materials Science +15
Understanding Molecular Simulation
Daan Frenkel, Berend Smit, Jan Tobochnik et al. · Computers in Physics · 1997 · 5.5K citations
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Scott E. Feller, Yuhong Zhang, Richard W. Pastor et al. · The Journal of Chemical Physics · 1995 · 4.5K citations
Natural Sciences, Chemistry, Physics +17