Rahul Sundar

Publications

Journals & Workshops

  1. “Sequential learning based PINNs to overcome temporal domain complexities in unsteady flow past flapping wings”, Rahul Sundar, Didier Lucor, and Sunetra Sarkar. Journal of Fluids and Structures 139 (2025): 104421.
  2. “TAUDiff: Improving statistical downscaling for extreme-event simulation using generative diffusion models”, Rahul Sundar, Nishant Parashar, Antoine Blanchard, and Boyko Dodov. Spotlight paper at the NeurIPS 2024 Workshop on Tackling Climate Change with Machine Learning.
  3. “Physics-informed neural networks modeling for systems with moving immersed boundaries: application to an unsteady flow past a plunging foil.”, Rahul Sundar, Dipanjan Majumdar, Didier Lucor, and Sunetra Sarkar. Journal of Fluids and Structures 125 (2024): 104066.
  4. “Comparative analysis of model reduction techniques for flapping wing dynamics”, Arvind Thirunavukkarasu, Rahul Sundar, and Sunetra Sarkar. Physics of Fluids (2024). [Accepted. To be published online.]

Conference Proceedings

  1. “Data-driven physics-informed and immersed boundary aware surrogate modeling of unsteady flows past moving bodies”, Rahul Sundar, Dipanjan Majumdar, Didier Lucor, Sunetra Sarkar. IACM Computational Fluids Conference, 2023, Cannes, France.
  2. “Understanding the training of PINNs for unsteady flow past a plunging foil through the lens of input subdomain level loss function gradients (Preprint)”, Rahul Sundar, Didier Lucor, and Sunetra Sarkar. Presented at the 50th International and National Conference on Fluid Machines and Fluid Power, IIT Jodhpur, 2023.
  3. “Massive parallelization and performance enhancement of an immersed boundary method based unsteady flow solver (Preprint)”, Rahul Sundar, Dipanjan Majumdar, Chhote Lal Shah, and Sunetra Sarkar. Presented at the 49th International and National Conference on Fluid Machines and Fluid Power, IIT Roorkee, 2022.
  4. “Surrogate Modeling of unsteady aerodynamic loads acting on a plunging flat plate”, Rahul Sundar, Virendra Kumar, Dipanjan Majumdar, Chhote Lal Shah and Sunetra Sarkar. The 8th European Congress on Computational Methods in Applied Sciences and Engineering ECCOMAS Congress 2022.
  5. “Model order reduction of unsteady flows past flapping wings using physics driven deep learning”, Rahul Sundar, Sunetra Sarkar. Mechanistic Machine Learning and Digital Twins for Computational Science, Engineering and Technology (2021).
  6. “Probing into the efficacy of Autoencoder based models for nonlinear latent space embeddings of unsteady flow past flapping wings”, Rahul Sundar, Sunetra Sarkar. Eastern European Machine Learning Summer School on Deep Learning and Reinforcement Learning (2021).
  7. “Computational modeling of stochastic buffeting of fin-like structures”, Rahul Sundar, Avisha Ghorpade, Jithin Jith, Sayan Gupta and Sunetra Sarkar, Chapter 22, Recent Advances in Computational Mechanics and Simulations, Proceedings of the ICCMS 2019.