Publications of Carsten Staacke

Journal Article (4)

2022
Journal Article
Staacke, Carsten, Tabea Huss, Johannes Margraf, Karsten Reuter and Christoph Scheurer: Tackling Structural Complexity in Li2 S-P2S5 Solid-State Electrolytes Using Machine Learning Potentials.
Journal Article
Staacke, Carsten, Simon Wengert, Christian Kunkel, Gábor Csányi, Karsten Reuter and Johannes Margraf: Kernel charge equilibration: efficient and accurate prediction of molecular dipole moments with a machine-learning enhanced electron density model.
2021
Journal Article
Staacke, Carsten, Hendrik Heenen, Christoph Scheurer, Gábor Csányi , Karsten Reuter and Johannes Margraf: On the Role of Long-Range Electrostatics in Machine-Learned Interatomic Potentials for Complex Battery Materials.
Journal Article
Timmermann, Jakob, Yonghyuk Lee, Carsten Staacke, Johannes Margraf, Christoph Scheurer and Karsten Reuter: Data-Efficient Iterative Training of Gaussian Approximation Potentials: Application to Surface Structure Determination of Rutile IrO2 and RuO2.

Thesis - PhD (1)

2022
Thesis - PhD
Staacke, Carsten: The Electrostatic Gap: Combining Electrostatic Models with Machine Learning Potentials.
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