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Constitutive artificial neural networks: A fast and general approach to predictive data-driven constitutive modeling by deep learning2020 Journal of Computational Physics article Materials Science Machine Learning in Materials Science Open access cited by 3 patents
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An artificial neural network for surrogate modeling of stress fields in viscoplastic polycrystalline materials2023 npj Computational Materials article 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
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Machine-learning-based surrogate modeling of microstructure evolution using phase-field2022 Computational Materials Science article Materials Science Machine Learning in Materials Science
Iman Peivaste, Nima Hamidi Siboni, Ghasem Alahyarizadeh, Reza Ghaderi, Bob Svendsen, Dierk Raabe, +1 more
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Potential Application of Machine-Learning-Based Quantum Chemical Methods in Environmental Chemistry2022 Environmental Science & Technology article Materials Science Machine Learning in Materials Science Open access
Deming Xia, Jingwen Chen, Zhiqiang Fu, Tong Xu, Zhongyu Wang, Wenjia Liu, +2 more
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DNN2: A hyper-parameter reinforcement learning game for self-design of neural network based elasto-plastic constitutive descriptions2021 Computers & Structures article Materials Science Machine Learning in Materials Science Open access
Alexander Fuchs, Yousef Heider, Kun Wang, WaiChing Sun, Michael Kaliske
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Deep Neural Networks for Analysis of Microscopy Images—Synthetic Data Generation and Adaptive Sampling2021 Crystals article Materials Science Machine Learning in Materials Science Open access cited by 3 patents
Patrick Trampert, Dmitri Rubinstein, Faysal Boughorbel, Christian Schlinkmann, Maria Luschkova, Philipp Slusallek, +2 more
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Common workflows for computing material properties using different quantum engines2021 npj Computational Materials article Materials Science Machine Learning in Materials Science Open access
Sebastiaan P. Huber, Emanuele Bosoni, Marnik Bercx, Augustin Degomme, Vladimir Dikan, Kristjan Eimre, +19 more
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Physics-informed neural network for constitutive modeling of cyclic crystal plasticity considering deformation mechanism2025 International Journal of Mechanical Sciences article Materials Science Machine Learning in Materials Science cited by 1 patent
Huanbo Weng, Franz Bamer, Cheng Luo, Bernd A. Markert, Huang Yuan
32citations -
Application of Machine Learning in Nanotoxicology: A Critical Review and Perspective2024 Environmental Science & Technology article Materials Science Machine Learning in Materials Science Open access
Yunchi Zhou, Ying Wang, Willie J.G.M. Peijnenburg, Martina G. Vijver, Surendra Balraadjsing, Zhaomin Dong, +9 more
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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
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