Ameya D. Jagtap
About
Ameya D. Jagtap has authored 29 papers that have received a total of 2.7k indexed citations.
This includes 25 papers in Statistical and Nonlinear Physics, 12 papers in Computational Mechanics and 9 papers in Artificial Intelligence. The topics of these papers are Model Reduction and Neural Networks (21 papers), Neural Networks and Applications (8 papers) and Fluid Dynamics and Turbulent Flows (6 papers). Ameya D. Jagtap is often cited by papers focused on Model Reduction and Neural Networks (21 papers), Neural Networks and Applications (8 papers) and Fluid Dynamics and Turbulent Flows (6 papers) and collaborates with scholars based in United States, India and China. Ameya D. Jagtap's co-authors include George Em Karniadakis, Kenji Kawaguchi, A. S. Vasudeva Murthy, Zhiping Mao and Nikolaus A. Adams and has published in prestigious journals such as Journal of Computational Physics, Computer Methods in Applied Mechanics and Engineering and Physics of Fluids
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