Papers matching “automated machine learning” 23
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An open-source robust machine learning platform for real-time detection and classification of 2D material flakes2023 arXiv (Cornell University) preprint Materials Science 2D Materials and Applications Open access
Jan-Lucas Uslu, Taoufiq Ouaj, David Tebbe, Jo Henri Bertram, Marc Schütte, Kenji Watanabe, +4 more
2citations -
An automated approach for developing neural network interatomic potentials with FLAME2021 Computational Materials Science article Materials Science Machine Learning in Materials Science Open access
Hossein Mirhosseini, Hossein Tahmasbi, Sai Ram Kuchana, S. Alireza Ghasemi, Thomas D. Kühne
12citations -
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 -
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 -
Hemocompatibility Evaluation of Biomaterials—The Crucial Impact of Analyzed Area2021 ACS Biomaterials Science & Engineering article Materials Science Polymer Surface Interaction Studies Open access
Johanna C. Clauser, Judith Maas, Jutta Arens, Thomas Schmitz‐Rode, Ulrich Steinseifer, Benjamin Berkels
22citations -
Inelastic Constitutive Kolmogorov-Arnold Networks: A generalized framework for automated discovery of interpretable inelastic material models2026 SSRN Electronic Journal preprint Materials Science Machine Learning in Materials Science Open access
Chenyi Ji, Kian P. Abdolazizi, Hagen Holthusen, Christian Johannes Cyron, Kevin Linka
1citations -
Towards Defect Phase Diagrams: From Research Data Management to Automated Workflows2026 Advanced Engineering Materials article Materials Science Machine Learning in Materials Science Open access
Khalil Rejiba, Sang-Hyeok Lee, Christina Gasper, Martina Sophia Dominique Freund, Sandra Korte‐Kerzel, Ulrich Bernd Kerzel
0citations
23 results