Aniruddha Bora

14 papers Journal 14

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Enhancing Heat Sink Efficiency in MOSFETs using Physics Informed Neural Networks: A Systematic Study on Coolant Velocity Estimation. CoRR Aniruddha Bora, Isabel K. Alvarez, Julie S. Chalfant, Chryssostomos Chryssostomidis
2026	J	`jnl`	Mitigating spectral bias in neural operators via high-frequency scaling for physical systems. Neural Networks Siavash Khodakarami, Vivek Oommen, Aniruddha Bora, George Em Karniadakis
2026	J	`jnl`	Physics-informed offline reinforcement learning eliminates catastrophic fuel waste in maritime routing. CoRR Aniruddha Bora, Julie S. Chalfant, Chryssostomos Chryssostomidis
2025	J	`jnl`	Learning Turbulent Flows with Generative Models: Super-resolution, Forecasting, and Sparse Flow Reconstruction. CoRR Vivek Oommen, Siavash Khodakarami, Aniruddha Bora, Zhicheng Wang, George Em Karniadakis
2025	J	`jnl`	Mitigating Spectral Bias in Neural Operators via High-Frequency Scaling for Physical Systems. CoRR Siavash Khodakarami, Vivek Oommen, Aniruddha Bora, George Em Karniadakis
2025	J	`jnl`	Process-Informed Forecasting of Complex Thermal Dynamics in Pharmaceutical Manufacturing. CoRR Ramona Rubini, Siavash Khodakarami, Aniruddha Bora, George Em Karniadakis, Michele Dassisti
2025	J	`jnl`	Retrofitting Earth System Models with Cadence-Limited Neural Operator Updates. CoRR Aniruddha Bora, Shixuan Zhang, Khemraj Shukla, Bryce E. Harrop, George E. Karniadakis, L. Ruby Leung
2025	J	`jnl`	XAI4Extremes: An interpretable machine learning framework for understanding extreme-weather precursors under climate change. CoRR Jiawen Wei, Aniruddha Bora, Vivek Oommen, Chenyu Dong, Juntao Yang, Jeff Adie, Chen Chen, Simon See, George E. Karniadakis, Gianmarco Mengaldo
2024	J	`jnl`	Integrating Neural Operators with Diffusion Models Improves Spectral Representation in Turbulence Modeling. CoRR Vivek Oommen, Aniruddha Bora, Zhen Zhang, George Em Karniadakis
2024	J	`jnl`	TransformerG2G: Adaptive time-stepping for learning temporal graph embeddings using transformers. Neural Networks Alan John Varghese, Aniruddha Bora, Mengjia Xu, George Em Karniadakis
2023	J	`jnl`	Learning bias corrections for climate models using deep neural operators. CoRR Aniruddha Bora, Khemraj Shukla, Shixuan Zhang, Bryce E. Harrop, L. Ruby Leung, George Em Karniadakis
2023	J	`jnl`	TransformerG2G: Adaptive time-stepping for learning temporal graph embeddings using transformers. CoRR Alan John Varghese, Aniruddha Bora, Mengjia Xu, George Em Karniadakis
2022	J	`jnl`	Physics-Informed Deep Neural Operator Networks. CoRR Somdatta Goswami, Aniruddha Bora, Yue Yu, George Em Karniadakis
2020	J	`jnl`	Gradient preserved method for solving heat conduction equation with variable coefficients in double layers. Appl. Math. Comput. Aniruddha Bora, Weizhong Dai