Papers matching “machine learning for optimization” 21
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Recent advances in metasurface design and quantum optics applications with machine learning, physics-informed neural networks, and topology optimization methods2023 Light Science & Applications article Materials Science Metamaterials and Metasurfaces Applications Open access cited by 1 patent
Wenye Ji, Jin Chang, He‐Xiu Xu, J. R. Gao, Simon Gröblacher, Hendrik Paul Urbach, +1 more
270citations -
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, G. Sai Gautam, +3 more
1citations -
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 -
Machine learning-accelerated CALPHAD analysis of impurity-driven intermetallic formation in secondary AlSi7Mg0.32026 npj Materials Sustainability article Materials Science Machine Learning in Materials Science Open access
Lukas C. Jarren, Alexandre Viardin, Eugen Gazenbiller, Markus Apel, Janin Eiken, Qiqi Li, +2 more
2citations -
Fundamentals to Prospects: Synthetic Tuning of Covalent Organic Frameworks for Solid‐State Hydrogen Storage2026 Advanced Materials article Materials Science Covalent Organic Framework Applications Open access
Mengshan Chen, Tengyu Chen, Xueya Zhu, Yue Hu, Wulyu Jiang, Kaiwen Wang, +7 more
0citations -
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 -
Convolutional neural networks for additively manufactured hot work steel H11: classification and prediction of mechanical properties2025 The International Journal of Advanced Manufacturing Technology article Materials Science Machine Learning in Materials Science Open access
Iris Raffeis, Michael Rom, Frank Adjei-Kyeremeh, Andreas Bührig–Polaczek
4citations
21 results