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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 -
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
58citations -
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
97citations -
Data-driven adaptive approach integrating genetic algorithm and conditional generative adversarial network for minimizing earing formation in industrially rolled aluminium strips2026 Transactions of the Indian Institute of Metals article Materials Science Machine Learning in Materials Science Open access
Nilesh Thakare, Kai Karhausen, Holger Brüggemann, Emad Scharifi, Junhe Lian
0citations -
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
33citations -
High-throughput parameter estimation from experimental data using Bayesian Inference with accelerated sampling2026 npj Computational Materials article Materials Science Machine Learning in Materials Science Open access
Basita Das, William Heymann, Yueming Wang, Uwe Rau, Thomas Kirchartz, Tonio Buonassisi
0citations -
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
40citations -
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
61citations -
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
1citations -
Multi-objective optimization and quantum hybridization of equivariant deep learning interatomic potentials2026 Computational Materials Science article Materials Science Machine Learning in Materials Science Open access
G. Laskaris, D. Morozov, D. Tarpanov, A. Seth, J. Procelewska, Gopalakrishnan Sai Gautam, +3 more
1citations