Spotlight Papers

Spotlight Papers

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