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Aniruddha Panda
Aniruddha Panda
Shell Technology Centre Bangalore
Verified email at shell.com - Homepage
Title
Cited by
Cited by
Year
A sharp-interface Immersed Boundary Method to simulate convective and conjugate heat transfer through highly complex periodic porous structures
S Das, A Panda, NG Deen, JAM Kuipers
Chemical Engineering Science 191, 1-18, 2018
412018
Computing interface curvature from volume fractions: A machine learning approach
HV Patel, A Panda, JAM Kuipers, E Peters
Computers & Fluids 193, 104263, 2019
372019
Method and system for data-based optimization of performance indicators in process and manufacturing industries
V Runkana, R Pandya, R Kumar, A Panda, M Mynam, SH Nistala, ...
US Patent 10,636,007, 2020
322020
A critical comparison of smooth and sharp interface methods for phase transition
AH Rajkotwala, A Panda, E Peters, MW Baltussen, CWM van der Geld, ...
International Journal of Multiphase Flow 120, 103093, 2019
302019
Large Language Model-Based Evolutionary Optimizer: Reasoning with elitism
S Brahmachary, SM Joshi, A Panda, K Koneripalli, AK Sagotra, H Patel, ...
arXiv preprint arXiv:2403.02054, 2024
132024
A multiple resolution approach using adaptive grids for fully resolved boundary layers on deformable gas-liquid interfaces at high Schmidt numbers
A Panda, HV Patel, E Peters, MW Baltussen, JAM Kuipers
Chemical Engineering Science 227, 115900, 2020
102020
DNS of droplet impact on a solid particle: Effect of wettability on solid conjugate heat transfer
S Das, A Panda, HV Patel, NG Deen, JAM Kuipers
International Journal of Heat and Mass Transfer 158, 119859, 2020
102020
Influence of gas fraction on wall-to-liquid heat transfer in dense bubbly flows
A Panda, YEJ Weitkamp, AH Rajkotwala, E Peters, MW Baltussen, ...
Chemical Engineering Science: X 4, 100037, 2019
102019
Fully resolved scalar transport for high Prandtl number flows using adaptive mesh refinement
A Panda, E Peters, MW Baltussen, JAM Kuipers
Chemical Engineering Science: X 4, 100047, 2019
72019
System and method for data pre-processing
V Runkana, R Pandya, R Kumar, A Panda
US Patent App. 15/784,688, 2018
42018
Accurate and Fast Fischer-Tropsch Reaction Microkinetics using PINNs
H Patel, A Panda, T Nikolaienko, S Jaso, A Lopez, K Kalyanaraman
arXiv preprint arXiv:2311.10456, 2023
12023
Direct numerical simulations of heat and mass transport in multiphase flows
A Panda
12020
Accelerated CCS Site Screening Using Fourier Neural Operator Based Surrogates for Flow Simulations
S Pawar, A Chandra, A Panda, P Devarakota, F Alpak, J Snippe, D Hohl
Available at SSRN 5066408, 2024
2024
Physics-informed neural networks need a physicist to be accurate: the case of mass and heat transport in Fischer-Tropsch catalyst particles
T Nikolaienko, H Patel, A Panda, SM Joshi, S Jaso, K Kalyanaraman
arXiv preprint arXiv:2411.10048, 2024
2024
Leveraging Physics-Informed Neural Networks for Faster and More Accurate Simulation of Gas-to-Liquid Operations and Design
T Nikolaienko, H Patel, A Panda, S Joshi, S Jaso, K Kalyanaraman
Abu Dhabi International Petroleum Exhibition and Conference, D031S088R001, 2024
2024
Fourier Neural Operator based surrogates for storage in realistic geologies
A Chandra, M Koch, S Pawar, A Panda, K Azizzadenesheli, J Snippe, ...
ICML 2024 AI for Science Workshop, 2024
2024
Performance Engineering for Deep Learning Adaptation of Seismic Processing Workflow
S Banerjee, A Panda, S Chawdhary, P Devarakota
Proceedings of the 5th Joint International Conference on Data Science …, 2022
2022
Next Generation Data Compression on CPU and GPU in Full Waveform Inversion
S Chawdhary, S Banerjee, A Panda, H Knibbe, S Reker, A St-Cyr
Society for Exploration Geophysics – HPC conference, 2021
2021
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