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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 -
An artificial neural network for surrogate modeling of stress fields in viscoplastic polycrystalline materials2022 arXiv (Cornell University) preprint 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
7citations -
Double network microgels based on dextran and fibrin with tunable structural, mechanical, and degradation properties2025 Journal of Colloid and Interface Science article Materials Science Hydrogels: synthesis, properties, applications Open access
Shannon Anna Jung, Hannah Küttner, Svenja Wein, Hanna Malyaran, Luca Anna Reicher, Caroline Schmidt, +5 more
12citations -
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
37citations -
Design and Experimental Investigation of Temperature Control for a 10 kW SOFC System Based on an Artificial Neuronal Network2023 ECS Meeting Abstracts conference-abstract Materials Science Advancements in Solid Oxide Fuel Cells
Nicolas Kruse, Wilfried Tiedemann, Ingo Hoven, Robert Deja, Roland Peters, Felix Kunz, +1 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
0citations -
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 -
Data-Efficient Characterization of Battery Slurry Viscosity using Uncertainty-Based Active Learning with Neural Networks2025 International Conference on Production Technologies and Systems for E-Mobility (EPTS) conference-paper Materials Science Machine Learning in Materials Science
Rui Yan Li, Christian Wittke, Robert Ludwigs, Paul Lingohr, Heiner Heimes, Oliver Niggemann, +1 more
0citations