| Acceleration of turbulent combustion DNS via principal component transport A Kumar, M Rieth, O Owoyele, JH Chen, T Echekki Combustion and Flame 255, 112903, 2023 | 13 | 2023 |
| Combustion chemistry acceleration with DeepONets A Kumar, T Echekki Fuel 365, 131212, 2024 | 4 | 2024 |
| On the application of principal component transport for compression ignition of lean fuel/air mixtures under engine relevant conditions KS Jung, A Kumar, T Echekki, JH Chen Combustion and Flame 260, 113204, 2024 | 4 | 2024 |
| A Physics-Constrained NeuralODE Approach for Robust Learning of Stiff Chemical Kinetics T Kumar, A Kumar, P Pal NeurIPS Machine Learning and the Physical Sciences Workshop, 2023 | 4 | 2023 |
| A Framework for Combustion Chemistry Acceleration with DeepONets A Kumar, T Echekki Bulletin of the American Physical Society, 2023 | 3 | 2023 |
| A Physics-Constrained Neural Ordinary Differential Equations Approach for Robust Learning of Stiff Chemical Kinetics T Kumara, A Kumara, P Pala arXiv preprint arXiv:2312.00038, 2023 | 1 | 2023 |
| Physics - Informed Machine Learning for Reduced Space Chemical Kinetics A Kumar, T Echekki NeurIPS Machine Learning and the Physical Sciences Workshop, 2023 | 1 | 2023 |
| Make a pancake: Learn about viscosity R Zenit, AH Kumar, A Mansingka, T Powers, M Ravisankar, ... APS Division of Fluid Dynamics Meeting Abstracts, L02. 006, 2020 | 1 | 2020 |
| Phy-ChemNODE: A Physics-Enhanced Neural Ordinary Differential Equations Approach for Accelerating Stiff Chemical Kinetic Computations P Pal, T Kumar, A Kumar Bulletin of the American Physical Society, 2024 | | 2024 |
| A PINN-DeepONet framework for extracting turbulent combustion closure from multiscalar measurements A Taassob, A Kumar, KM Gitushi, R Ranade, T Echekki Computer Methods in Applied Mechanics and Engineering 429, 117163, 2024 | | 2024 |
| A Physics-Constrained Autoencoder-NeuralODE Framework for Learning Complex Hydrocarbon Fuel Chemistry: Methane Combustion Kinetics T Kumar, A Kumar, P Pal | | 2024 |
| A Posteriori Evaluation of a Physics-Constrained Neural Ordinary Differential Equations Approach Coupled with CFD Solver for Modeling Stiff Chemical Kinetics T Kumara, A Kumara, P Pala arXiv preprint arXiv:2312.00038, 2023 | | 2023 |
| A Physics-Constrained Neural Ordinary Differential Equations approach for Robust Data-Driven Modeling of Chemical Kinetics T Kumar, P Pal, A Kumar Bulletin of the American Physical Society, 2023 | | 2023 |
| A Robust Turbulent Combustion Closure model via Deep Operator Network A Taassob, A Kumar, T Echekki, R Ranade Bulletin of the American Physical Society, 2023 | | 2023 |
| Minimum SRAM Retention Voltage: Insight about optimizing Power Efficiency across Temperature Profile, Process Variation and Aging YE Aslan, F Cacho, T Kumar, DK Janardan, A Kumar, F Giner, ... 2023 IEEE 29th International Symposium on On-Line Testing and Robust System …, 2023 | | 2023 |
| Acceleration of turbulent combustion simulation through principal components transport and machine learning A Kumar, M Rieth, O Owoyele, J Chen, T Echekki Bulletin of the American Physical Society 67, 2022 | | 2022 |
| Pathogens isolated from clinical cases of urinary tract infection in dogs and their antibiogram, Veterinary World, 11 (8): 1037-1042 M Punia, A Kumar, G Charaya, T Kumar Abstract, 2018 | | 2018 |
| Influence of season and age on sperm membrane integrity of prefreeze Barbari buck spermatozoa. A Kumar, T Kumar, DK Swain, S Yadav | | 2012 |
