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180
Aachen papers (primary topic)
609
Further papers (secondary topic)
2.35k
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224
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Papers 180
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Inelastic Constitutive Kolmogorov–Arnold Networks: A generalized framework for automated discovery of interpretable inelastic material models2026 International Journal of Engineering Science article 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 -
Machine Learning of Mechanisms in Combinatorial Metamaterials2021 International Congress on Artificial Materials for Novel Wave Phenomena (Metamaterials) conference-paper Materials Science Machine Learning in Materials Science
Ryan van Mastrigt, Corentin Coulais, Martin van Hecke, Marjolein Dijkstra
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Multi-objective optimization and quantum hybridization of equivariant deep learning interatomic potentials2026 Jyväskylä University Digital Archive (University of Jyväskylä) article Materials Science Machine Learning in Materials Science Open access
G. Laskaris, D. Morozov, D. Tarpanov, A. Seth, J. Procelewska, Gautam G. Sai, +3 more
0citations
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