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Ameya D. Jagtap

Brown University

Box 1860

Providence, RI 02912

United States

SCHOLARLY PAPERS

5

DOWNLOADS

1,276

TOTAL CITATIONS
Rank 43,098

SSRN RANKINGS

Top 43,098

in Total Papers Citations

19

Scholarly Papers (5)

1.

On Scientific Foundation Models:Rigorous Definitions, Key Applications, and a Survey

Number of pages: 89 Posted: 27 Aug 2025
Worcester Polytechnic Institute, Worcester Polytechnic Institute, Shell India Markets Private Limited, Shell India Markets Private Limited, Shell India Markets Private Limited, Shell India Markets Private Limited and Brown University
Downloads 814 (76,653)

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Scientific Foundation Models, Domain Adaptation and Generalization, Problem Adaptation and Generalization

2.

Intelligent Fluid Flows: A Survey of Deep Learning Methods for Turbulent, Multiphase, and Reactive Flows

Number of pages: 145 Posted: 12 Dec 2025
Worcester Polytechnic Institute, Worcester Polytechnic Institute, Worcester Polytechnic Institute, Worcester Polytechnic Institute, Worcester Polytechnic Institute, Worcester Polytechnic Institute, Worcester Polytechnic Institute and Brown University
Downloads 220 (397,477)

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Deep Learning Methods, Turbulent Flows, Multiphase Flows, Reactive Flows, Scientific Deep Learning

3.

Physics-Informed Neural Networks for Inverse Problems in Supersonic Flows

Number of pages: 19 Posted: 22 Mar 2022
Brown University, Xiamen University, Technische Universität München (TUM) and Brown University
Downloads 98 (709,832)
Citation 19

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Extended physics-informed neural networks, Entropy conditions, Supersonic compressible flows, inverse problems

4.

A Unified Scalable Framework for Causal Sweeping Strategies for Physics-Informed Neural Networks (Pinns) and Their Temporal Decompositions

Number of pages: 33 Posted: 14 Mar 2023
University of Utah - School of Computing and Scientific Computing and Imaging Institute, Brown University, University of Utah - School of Computing, Brown University and University of Utah - School of Computing and Scientific Computing and Imaging Institute
Downloads 73 (860,052)

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Physics-Informed Neural Networks (PINNs), causality, domain decomposition, transfer learning

5.

Learning Stiff Chemical Kinetics Using Extended Deep Neural Operators

Number of pages: 25 Posted: 19 Aug 2023
Brown University, Brown University, University of Pittsburgh, affiliation not provided to SSRN and Brown University
Downloads 71 (875,328)

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Stiff problems, Scientific machine learning, Neural operators, Combustion