Performance Engineering for Deep Learning Adaptation of Seismic Processing Workflow. - Subhasis Banerjee; Aniruddha Panda; Saurabh Chawdhary; Pandu Devarakota (COMAD/CODS, 2022)

Accurate and Fast Fischer-Tropsch Reaction Microkinetics using PINNs. - Harshil Patel; Aniruddha Panda; Tymofii Nikolaienko; Stanislav Jaso; Alejandro Lopez; Kaushic Kalyanaraman (CoRR, 2023)

Physics-informed neural networks need a physicist to be accurate: the case of mass and heat transport in Fischer-Tropsch catalyst particles. - Tymofii Nikolaienko; Harshil Patel; Aniruddha Panda; Subodh M. Joshi; Stanislav Jaso; Kaushic Kalyanaraman (CoRR, 2024)

Large language model-based evolutionary optimizer: Reasoning with elitism. - Shuvayan Brahmachary; Subodh M. Joshi; Aniruddha Panda; Kaushik Koneripalli; Arun Kumar Sagotra; Harshil Patel; Ankush Sharma; Ameya D. Jagtap; Kaushic Kalyanaraman (Neurocomputing, 2025)

Fourier Neural Operator based surrogates for CO2 storage in realistic geologies. - Anirban Chandra; Marius Koch; Suraj Pawar; Aniruddha Panda; Kamyar Azizzadenesheli; Jeroen Snippe; Faruk O. Alpak; Farah Hariri; Clement Etienam; Pandu Devarakota; Anima Anandkumar; Detlef Hohl (CoRR, 2025)