Papers matching “predictability of evolution” 25
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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 -
Efficient surrogate models for materials science simulations: Machine learning-based prediction of microstructure properties2024 Machine Learning with Applications article Materials Science Machine Learning in Materials Science Open access
Binh Duong Nguyen, Pavlo Potapenko, Aytekin Demirci, Kishan Govind, Sébastien Bompas, Stefan Sandfeld
22citations -
Coupled chemical–mechanical damage modeling of hydrogen-induced material degradation2024 Engineering Fracture Mechanics article Materials Science Hydrogen embrittlement and corrosion behaviors in metals Open access
Berk Tekkaya, Jiaojiao Wu, Michael Dölz, Junhe Lian, Sebastian Münstermann
15citations -
A rate-dependent damage mechanics model for predicting plasticity and ductile fracture behavior of sheet metals at high strain rates2024 Engineering Fracture Mechanics article Materials Science High-Velocity Impact and Material Behavior Open access
Chongyang Zeng, Xiangfan Fang, Niloufar Habibi, Sebastian Münstermann, Junhe Lian
21citations -
Materials Within a Digitalized Production Environment2023 Interdisciplinary excellence accelerator series book-chapter Materials Science Machine Learning in Materials Science Open access
Christoph Broeckmann, Andreas Bührig–Polaczek, Bengt Hallstedt, Ulrich Krupp, Ali Rajaei, Michael Rom, +3 more
1citations -
Materials Within a Digitalized Production Environment2023 Interdisciplinary excellence accelerator series book-chapter Materials Science Machine Learning in Materials Science Open access
Christoph Broeckmann, Andreas Bührig–Polaczek, Bengt Hallstedt, Ulrich Krupp, Ali Rajaei, Michael Rom, +3 more
1citations -
A first-principles and machine learning combined method to investigate the interfacial friction between corrugated graphene2021 Modelling and Simulation in Materials Science and Engineering article Materials Science Machine Learning in Materials Science
Zugang Liu, Xinpeng Zhao, Heyuan Wang, Yuan Ma, Lei Gao, Haiyou Huang, +3 more
9citations
25 results