Publikationen von Carsten Staacke
Alle Typen
Zeitschriftenartikel (4)
1.
Zeitschriftenartikel
12 (17), 2950 (2022)
Tackling Structural Complexity in Li2 S-P2S5 Solid-State Electrolytes Using Machine Learning Potentials. Nanomaterials 2.
Zeitschriftenartikel
3 (1), 015032 (2022)
Kernel charge equilibration: efficient and accurate prediction of molecular dipole moments with a machine-learning enhanced electron density model. Machine Learning: Science and Technology 3.
Zeitschriftenartikel
155 (24), 244107 (2021)
Data-Efficient Iterative Training of Gaussian Approximation Potentials: Application to Surface Structure Determination of Rutile IrO2 and RuO2. The Journal of Chemical Physics 4.
Zeitschriftenartikel
4 (11), S. 12562 - 12569 (2021)
On the Role of Long-Range Electrostatics in Machine-Learned Interatomic Potentials for Complex Battery Materials. ACS Applied Energy Materials Hochschulschrift - Doktorarbeit (1)
5.
Hochschulschrift - Doktorarbeit
The Electrostatic Gap: Combining Electrostatic Models with Machine Learning Potentials. Dissertation, Technische Universität, München (2022)