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Impact of charge transition levels on grain boundary properties in acceptor doped oxide ceramics: A phase-field study2026 TUbilio (Technical University of Darmstadt) preprint Materials Science Advancements in Solid Oxide Fuel Cells Open access
Kai Wang, Sangjun Kang, Mahmoud Serour, Roger A. De Souza, Andreas Klein, Rotraut Merkle, +5 more
1citations -
Benchmarking short-range machine learning potentials for atomistic simulations of metal/electrolyte interfaces2026 arXiv (Cornell University) preprint Materials Science Machine Learning in Materials Science Open access
Lucas B. T. de Kam, Jiaxin Zhu, Ankit Mathanker, Katharina Doblhoff-Dier, Nitish Govindarajan
1citations -
SALTED: a symmetry-adapted machine-learning program for predicting electron-densities in molecules and materials2026 arXiv (Cornell University) preprint Materials Science Machine Learning in Materials Science Open access
Zekun Lou, Alan M. Lewis, T. Bernhard, Lukas Seifert, Agustín Salcedo, Florian Kleemiss, +2 more
0citations -
Electrically Controlled Interfacial Charge Transfer Induced Excitons in MoSe2-WSe2 Lateral Heterostructure2024 arXiv (Cornell University) preprint Materials Science 2D Materials and Applications Open access
Baisali Kundu, David Tebbe, Md. Nur Hassan, Suman Kumar Chakraborty, Marvin Metzelaars, Paul Kögerler, +5 more
0citations -
kMap.py: A Python program for simulation and data analysis in photoemission tomography2020 arXiv (Cornell University) preprint Materials Science Electron and X-Ray Spectroscopy Techniques Open access
Dominik Brandstetter, Xiaosheng Yang, Daniel Lüftner, Frank Stefan Tautz, Peter Puschnig
23citations -
How the dynamic of photo-induced gate screening complicates the investigation of valley physics in 2D materials2020 arXiv (Cornell University) preprint Materials Science 2D Materials and Applications Open access
Frank Volmer, Manfred Ersfeld, Lars Rathmann, Maximilian Heithoff, Luca Kotewitz, Bernd Beschoten
6citations -
Inelastic Constitutive Kolmogorov-Arnold Networks: A generalized framework for automated discovery of interpretable inelastic material models2026 arXiv (Cornell University) preprint Materials Science Machine Learning in Materials Science Open access
Chenyi Ji, Kian P. Abdolazizi, Hagen Holthusen, Christian Johannes Cyron, Kevin Linka
0citations -
Inelastic Constitutive Kolmogorov-Arnold Networks: A generalized framework for automated discovery of interpretable inelastic material models2026 arXiv (Cornell University) preprint Materials Science Machine Learning in Materials Science Open access
Chenyi Ji, Kian P. Abdolazizi, Hagen Holthusen, Christian Johannes Cyron, Kevin Linka
0citations
14 results