| Title | Authors | Affiliation |
|---|---|---|
| Improved deep learning of chaotic dynamical systems with multistep penalty losses | , Seung Whan Chung, Ashesh Chattopadhyay, Romit Maulik | Penn State University |
| Digital Twin Framework for Enhancing BESS | , Vishnu Nair, Vikas Yadav, Sweekruti, Sarthak Chopra, Tripti Gangwar, Sarnaduti Brahma, Pragya Tripathi, Lalit Kumar | Siemens Limited, India |
| Machine Learning Driven Metric Based Mesh Adaptation | Kunal Ghosh, , Dipendra Kain, Aravind Balan, Ajay Rangarajan | Indian Institute of Science (IISc) Bangalore |
| TAUDiff: Highly efficient kilometer-scale downscaling using generative diffusion models | , Yucong Hu, Nishant Parashar, Antoine Blanchard, Boyko Dodov | Verisk, India |
| Solving Nonlinear Evolution Equations Using Physics-Informed Neural Network | , Chandhini G, Nagaiah Chamakuri, Rakesh Kumar | National Institute of Technology Karnataka |
| Model-operator fusion for scientific machine learning | , Souvik Chakraborty | Indian Institute of Technology Delhi |
| Physics Informed Neural Network Framework for Full Order and Reduced Order External CFD Solver | , Giovanni Stabile, Gianluigi Rozza | International School for Advanced Studies (SISSA), Trieste, Italy |
| GFPINNs : General Fractional Physics-informed Neural Networks | , Gianluigi Rozza | International School for Advanced Studies (SISSA), Trieste, Italy |
| The GONG Particle Filter: A Novel Framework for Data Assimilation in Stochastic PDEs | Colin J. Cotter, Dan Crisan, | Imperial College London |
| Visual Damage Modeling with Physics-informed and | , Subin Varghese, Reza Bazrgary | University of Houston |