Ameya D. Jagtap

Identifiers

• name variant Ameya D. Jagtap 0.60 · backfill

Papers (20)

1. MARUT: An Exascale-Ready, GPU-Accelerated High-Order CFD Framework with AMR for High-Speed Flows and Finite-Rate Chemistry physics.comp-ph · 2026 · author #2
2. Challenges and Advancements in Modeling Shock Fronts with Physics-Informed Neural Networks: A Review and Benchmarking Study physics.flu-dyn · 2025 · author #2
3. History-Matching of Imbibition Flow in Multiscale Fractured Porous Media Using Physics-Informed Neural Networks (PINNs) cs.CE · 2024 · author #4
4. Large Language Model-Based Evolutionary Optimizer: Reasoning with elitism cs.AI · 2024 · author #8
5. RiemannONets: Interpretable Neural Operators for Riemann Problems cs.LG · 2024 · author #3
6. Deep smoothness WENO scheme for two-dimensional hyperbolic conservation laws: A deep learning approach for learning smoothness indicators math.NA · 2023 · author #2
7. A unified scalable framework for causal sweeping strategies for Physics-Informed Neural Networks (PINNs) and their temporal decompositions physics.comp-ph · 2023 · author #2
8. Learning stiff chemical kinetics using extended deep neural operators physics.chem-ph · 2023 · author #2
9. Augmented Physics-Informed Neural Networks (APINNs): A gating network-based soft domain decomposition methodology cs.LG · 2022 · author #2
10. How important are activation functions in regression and classification? A survey, performance comparison, and future directions cs.LG · 2022 · author #1
11. Error estimates for physics informed neural networks approximating the Navier-Stokes equations math.NA · 2022 · author #2
12. Physics-informed neural networks for inverse problems in supersonic flows math.NA · 2022 · author #1
13. Deep learning of inverse water waves problems using multi-fidelity data: Application to Serre-Green-Naghdi equations physics.flu-dyn · 2022 · author #1
14. When Do Extended Physics-Informed Neural Networks (XPINNs) Improve Generalization? cs.LG · 2021 · author #2
15. Deep Kronecker neural networks: A general framework for neural networks with adaptive activation functions cs.LG · 2021 · author #1
16. Parallel Physics-Informed Neural Networks via Domain Decomposition cs.DC · 2021 · author #2
17. A physics-informed neural network for quantifying the microstructure properties of polycrystalline Nickel using ultrasound data cond-mat.mtrl-sci · 2021 · author #2
18. Locally adaptive activation functions with slope recovery term for deep and physics-informed neural networks cs.LG · 2019 · author #1
19. Adaptive activation functions accelerate convergence in deep and physics-informed neural networks physics.comp-ph · 2019 · author #1
20. Method of Relaxed Streamline Upwinding for Hyperbolic Conservation Laws math.NA · 2016 · author #1

Mentions

• 2503.17379 #2 · arxiv_oai · confidence 0.70 Ameya D. Jagtap
• 2410.20801 #4 · arxiv_oai · confidence 0.70 Ameya D. Jagtap
• 2401.08886 #3 · arxiv_oai · confidence 0.70 Ameya D. Jagtap
• 2403.02054 #8 · arxiv_oai · confidence 0.70 Ameya D. Jagtap
• 2211.08939 #2 · arxiv_oai · confidence 0.70 Ameya D. Jagtap
• 2309.10117 #2 · arxiv_oai · confidence 0.70 Ameya D. Jagtap
• 2302.14227 #2 · arxiv_oai · confidence 0.70 Ameya D. Jagtap
• 2302.12645 #2 · arxiv_oai · confidence 0.70 Ameya D. Jagtap
• 2203.09346 #2 · arxiv_oai · confidence 0.70 Ameya D. Jagtap
• 2209.02681 #1 · arxiv_oai · confidence 0.70 Ameya D. Jagtap
• 2109.09444 #2 · arxiv_oai · confidence 0.70 Ameya D. Jagtap
• 2202.11821 #1 · arxiv_oai · confidence 0.70 Ameya D. Jagtap
• 2202.02899 #1 · arxiv_oai · confidence 0.70 Ameya D. Jagtap
• 2103.14104 #2 · arxiv_oai · confidence 0.70 Ameya D. Jagtap
• 2105.09513 #1 · arxiv_oai · confidence 0.70 Ameya D. Jagtap
• 2104.10013 #2 · arxiv_oai · confidence 0.70 Ameya D. Jagtap
• 1909.12228 #1 · arxiv_oai · confidence 0.70 Ameya D. Jagtap
• 1906.01170 #1 · arxiv_oai · confidence 0.70 Ameya D. Jagtap
• 1611.03338 #1 · arxiv_oai · confidence 0.70 Ameya D. Jagtap
• 2605.26388 #2 · arxiv_oai · confidence 0.70 Ameya D. Jagtap

Frequent Coauthors

• George Em Karniadakis 13 shared papers
• Kenji Kawaguchi 4 shared papers
• Aksel Hiorth 2 shared papers
• Ben Moseley 2 shared papers
• Jassem Abbasi 2 shared papers
• Khemraj Shukla 2 shared papers
• P{\aa}l {\O}steb{\o} Andersen 2 shared papers
• Zheyuan Hu 2 shared papers
• Ahmad Peyvan 1 shared papers
• Aniruddha Panda 1 shared papers
• Ankush Sharma 1 shared papers
• Anthony R. Kovscek 1 shared papers
• Arun Kumar Sagotra 1 shared papers
• Bryan T. Susi 1 shared papers
• Daniel Sparkman 1 shared papers
• Dimitrios Mitsotakis 1 shared papers
• Harshil Patel 1 shared papers
• Hessam Babaee 1 shared papers
• James L. Blackshire 1 shared papers
• Kaushic Kalyanaraman 1 shared papers