Accurate fourth-generation machine learning potentials by electrostatic embed...

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In recent years, significant progress has been made in the development of machine learning potentials (MLPs) for atomistic simulations with applications in many fields from...

Accurate fourth-generation machine learning potentials by electrostatic embedding

In recent years, significant progress has been made in the development of machine learning potentials (MLPs) for atomistic simulations with applications in many fields from chemistry to materials scie

DataCite Commons2026-03-12 更新20

A fourth-generation high-dimensional neural network potential with accurate electrostatics including non-local charge transfer

Machine learning potentials have become an important tool for atomistic simulations in many fields, from chemistry via molecular biology to materials science. Most of the established methods, however,

DataCite Commons2026-03-12 更新50

A fourth-generation high-dimensional neural network potential with accurate e...

Machine learning potentials have become an important tool for atomistic simulations in many fields, from chemistry via molecular biology to materials science. Most of the...

B2FIND00

Accurate fourth-generation machine learning potentials by electrostatic embedding

DataCite Commons2026-03-12 更新20

A fourth-generation high-dimensional neural network potential with accurate electrostatics including non-local charge transfer

DataCite Commons2026-03-12 更新00