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Marco Eckhoff

Marco Eckhoff

Georg-August-Universität Göttingen - Göttingen / Germany
Engineering & Technology / Computer Science
AD Scientific Index ID: 4574143
University of Göttingen
person_outline Marco Eckhoff's MOST POPULAR ARTICLES
1-) From molecular fragments to the bulk: development of a neural network potential for MOF-5 Journal of chemical theory and computation 15 (6), 3793-3809, 2019
2-) High-dimensional neural network potentials for magnetic systems using spin-dependent atom-centered symmetry functions npj Computational Materials 7 (1), 170, 2021
3-) Predicting oxidation and spin states by high-dimensional neural networks: Applications to lithium manganese oxide spinels The Journal of Chemical Physics 153 (16), 2020
4-) Insights into lithium manganese oxide-water interfaces using machine learning potentials The Journal of Chemical Physics 155 (24), 244703, 2021
5-) Closing the gap between theory and experiment for lithium manganese oxide spinels using a high-dimensional neural network potential Physical Review B 102 (17), 174102, 2020