Ameya D. Jagtap Source Confirmed

Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.

Assistant Professor (Tenure-Track)

John Brown University

faculty

ajagtap@wpi.edu

16 h-index 54 pubs 5,093 cited

Research Areas

Model Reduction and Neural Networks Computational Fluid Dynamics and Aerodynamics Nuclear Engineering Thermal-Hydraulics Fluid Dynamics and Turbulent Flows Neural Networks and Applications

Links

ORCID

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OverviewAI-generated summary

Dr. Ameya D. Jagtap is an Assistant Professor at John Brown University, focusing on the intersection of neural networks, model reduction, and fluid dynamics. His research leverages physics-informed neural networks to address complex problems in supersonic flows and other areas. Jagtap's work explores the application of these networks to inverse problems, domain decomposition methodologies, and quantifying microstructural properties using ultrasound data. Recent investigations also include analysis of activation functions within neural networks for both regression and classification tasks. His scholarship spans computational fluid dynamics, aerodynamics, nuclear engineering thermal-hydraulics, and turbulent flows.

Metrics

  • h-index: 16
  • Publications: 54
  • Citations: 5,093

Selected Publications

  • On Scientific Foundation Models:Rigorous Definitions, Key Applications, and a Survey (2025) DOI
  • Learning Stiff Chemical Kinetics Using Extended Deep Neural Operators (2023) DOI
  • A Unified Scalable Framework for Causal Sweeping Strategies for Physics-Informed Neural Networks (Pinns) and Their Temporal Decompositions (2023) DOI
  • Physics-Informed Neural Networks for Inverse Problems in Supersonic Flows (2022) DOI
  • When Do Extended Physics-Informed Neural Networks (XPINNs) Improve Generalization? (2022) DOI
  • A physics-informed neural network for quantifying the microstructure properties of polycrystalline Nickel using ultrasound data (2021) DOI

Collaborators

Researchers in the database who share publications

Khemraj Shukla John Brown University 3 shared publications Vivek Oommen John Brown University 2 shared publications George Em Karniadakis John Brown University 2 shared publications

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