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An artificial neural network for surrogate modeling of stress fields in viscoplastic polycrystalline materials2022 arXiv (Cornell University) preprint Materials Science Machine Learning in Materials Science Open access
Mohammad Sarkari Khorrami, Jaber Rezaei Mianroodi, Nima Hamidi Siboni, Pawan Goyal, Bob Svendsen, Peter Benner, +1 more
7citations -
A symmetry-preserving and transferable representation for learning the Kohn-Sham density matrix2025 arXiv (Cornell University) preprint Materials Science Machine Learning in Materials Science Open access
Liwei Zhang, Patrizia Mazzeo, Michele Nottoli, Edoardo Cignoni, Lorenzo Cupellini, Benjamin Stamm
1citations -
Accurate prediction of structural and mechanical properties on amorphous materials enabled through machine-learning potentials: a case study of silicon nitride2024 arXiv (Cornell University) preprint Materials Science Machine Learning in Materials Science Open access
Ganesh Kumar Nayak, Prashanth Srinivasan, Juraj Todt, Rostislav Daniel, Paolo Nicolini, David Holec
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 -
Accurate Distances Measures and Machine Learning of the Texture-Property Relation for Crystallographic Textures Represented by One-Point Statistics2023 arXiv (Cornell University) preprint Materials Science Machine Learning in Materials Science Open access
Tarek Iraki, Lukas Morand, Norbert Link, Stefan Sandfeld, Dirk Helm
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 -
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 -
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, Agustin Salcedo, Florian Kleemiss, +2 more
0citations
19 results