Carsten G. Staacke

Statistics

Publications

Citations

160

H-Index

Active since

2021

Affiliations

Fritz Haber Institute of the Max Planck Society(Current)

University of Cambridge

Carsten G. Staacke is an author at Fritz Haber Institute of the Max Planck Society specializing in machine-learned interatomic potentials, natural sciences, and theoretical chemistry.

ORCID

Publications per year

2021–2022

Publications

On the Role of Long-Range Electrostatics in Machine-Learned Interatomic Potentials for Complex Battery Materials

Carsten G. Staacke, Hendrik H. Heenen, Christoph Scheurer et al. · ACS Applied Energy Materials · 2021 · 52 citations · Full text

Natural Sciences, Materials Science, Physics +17

Kernel charge equilibration: efficient and accurate prediction of molecular dipole moments with a machine-learning enhanced electron density model

Carsten G. Staacke, Simon Wengert, Christian Künkel et al. · Machine Learning Science and Technology · 2022 · 42 citations · Full text

Natural Sciences, Chemistry, Computer Science +15

Data-efficient iterative training of Gaussian approximation potentials: Application to surface structure determination of rutile IrO2 and RuO2

Jakob Timmermann, Yonghyuk Lee, Carsten G. Staacke et al. · The Journal of Chemical Physics · 2021 · 40 citations

Natural Sciences, Chemistry, Materials Science +17

Tackling Structural Complexity in Li2S-P2S5 Solid-State Electrolytes Using Machine Learning Potentials

Carsten G. Staacke, Tabea Huss, Johannes T. Margraf et al. · Nanomaterials · 2022 · 26 citations · Full text

Natural Sciences, Chemistry, Materials Science +17

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