Work

Construction of Machine Learned Force Fields with Quantum Chemical Accuracy: Applications and Chemical Insights

Year: 2020

Type: book-chapter

Source: Lecture notes in physics

DOI: 10.1007/978-3-030-40245-7_14

Authors: Huziel E. Sauceda, Stefan Chmiela, Igor Poltavsky, Klaus-Robert Müller, Alexandre Tkatchenko

Institutions: Fritz Haber Institute of the Max Planck Society, University of Luxembourg

Language: English

Topic: Machine Learning in Materials Science

Subfield: Materials Chemistry

Field: Materials Science

Domain: Physical Sciences

Open Access status: green

Funders: National Science Foundation, Deutsche Forschungsgemeinschaft, Institute for Information and Communications Technology Promotion

Awards: G1372115314, G2033548659, G2156757918, G4162010356, G4307164954, G6323168081, EXC 2046: MATH+: Berlin Mathematics Research Center

OpenAlex ID: W2973407545

FWCI: 5.236

Cites: 114

Cited by: 18

Related to: 10