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