arXiv research

A locally-built, LLM-digested index of recent arXiv papers in quant finance, geometry/topology, and statistical ML — keyword search served straight from SQLite on this machine.

168,742 papers · 148 categories

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1 result for “ML-FFs”

Machine Learning Force Fieldsphysics.chem-ph

ML-FFs use ML to bridge chem. accuracy and efficiency.

problem Narrowing the gap between ab initio and classical FFs.

method Learn potential energy from structure data without fixed bonds.

result ML-FFs can achieve accuracy of ab initio methods with classical efficiency.

Machine Learning Force Fields Computational Chemistry ML-FFs Chemical Structure

2020-10-14abs ↗pdf ↗