1800 Data Science, Machine Learning and Artificial Intelligence
1802 Scientific deep learning, Tan Bui-Thanh
1803 Enabling technologies for digital twins: Model reduction and scientific machine learning, Alvaro Coutinho, Alessandro Reali and Gianluigi Rozza
1806 Causal discovery and graphical causal models, Jonas Actor, Elise Walker and Yue Yu
1807 Deep and machine learning methodology in the context of application to computational mechanics, Yoshitaka Wada, Yasushi Nakabayashi, Masao Ogino, Akio Miyoshi and Shinobu Yoshimura
1808 Predictive digital twins, Trond Kvamsdal and Kjell Magne Mathisen
1809 Data science and machine learning applications for composite materials and biomedical engineering, Li-Wei Liu, Grace Gu, Seunghwa Ryu, Zhao Qin, Chia-Ching Chou, Shu-Wei Chang and Chi-Hua Yu
1810 Data-driven approaches for solid mechanics, Jiun-Shyan Chen, Qizhi He, WaiChing Sun, Nikolaos Vlassis and Yue Yu
1811 Advanced machine learning methods for multiscale modeling, Tung-Huan (Michael) Su, Chuin-Shan (David) Chen and C. T. Wu
1812 Constitutive modeling of complex materials with machine learning and artificial intelligence, Francisco Sahli Costabal, Adrian Buganza Tepole, Steve WaiChing Sun, Ellen Kuhl and Nikolaos Bouklas
1813 Scientific machine learning for geophysical applications, Gianmarco Mengaldo, Romit Maulik, Giovanni Stabile and Rajeev Jaiman
1814 Machine learning and data driven based engineering computation, Zhanli Liu, Xiaoying Zhuang, Shan Tang, Yanping Lian, Yongxing Shen and Leiting Dong
1815 Machine learning algorithms for accelerating material characterization, discovery, design, and manufacturing processes, Elise Walker, Jonas Actor, Troy Shilt and Ankit Shrivastava
1816 Data-driven device and circuits models, Biliana Paskaleva, Pavel Bochev and Paul Kuberry
1817 Data-driven methods for modeling complex systems, Andrei Klishin, Joseph Bakarji, Prerna Patil, Doris Voina, Ryan Raut and Krithika Manohar
1819 Machine learning for design tasks and inverse problems, Kazuo Yonekura, Kentaro Yaji, Tan Bui-Thanh and Nicolas Gauger
1820 Advancing computational mechanics with symbolic regression, Geoffrey Bomarito, Patrick Leser, Karl Garbrecht, John Emery and Jacob Hochhalter
1821 Data-driven modeling and design of materials, Karl A. Kalina, Markus Kästner, Dennis M. Kochmann, WaiChing Sun and Nikolaos N. Vlassis
1822 SciML in the real world, Reese Jones, Krishna Garikipati, Nikolaos Bouklas and Jan Fuhg
1823 Advances in neural operators for scientific modeling, Mauro Perego, Amanda Howard and Panos Stinis
1824 Machine learning and multiscale modeling for complex materials and structures, Shaofan Li, Ying Li, Krishnan Suresh and Hongyi Xu
1825 Physical models and reduced order models augmentation with data for physics-informed machine learning in real-world applications, Beatriz Moya Garcia, Marco Tezzele, Annika Robens-Radermacher and Chady Ghnatios
1826 Trustworthy multi-fidelity and data-driven models for computational applications, Gianluca Geraci, Tian Yu Yen, Daniele Schiavazzi, Mohammad Motamed and Timothy Wildey
1828 Machine learning for large scale models in physics, Nissrine Akkari, Charbel Farhat, Fabien Casenave and Thierry Gonon
1829 Improving the efficiency and accuracy of computational methods through machine learning, Mostafa Safdari Shadloo and Mehrdad Mesgarpour