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A unified scalable framework for causal sweeping strategies for Physics-Informed Neural Networks (PINNs) and their temporal decompositions.

M. Penwarden, A. Jagtap, S. Zhe, G. Karniadakis, and R. Kirby. J. Comput. Phys., (November 2023)

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Sunil Jagtap

Smita Jagtap

Avinash Baburao Jagtap

D Böttger

D Zeppenfeld

Other publications of authors with the same name

A unified scalable framework for causal sweeping strategies for Physics-Informed Neural Networks (PINNs) and their temporal decompositions.M. Penwarden, A. Jagtap, S. Zhe, G. Karniadakis, and R. Kirby. CoRR, (2023)Large Language Model-Based Evolutionary Optimizer: Reasoning with elitism.S. Brahmachary, S. Joshi, A. Panda, K. Koneripalli, A. Sagotra, H. Patel, A. Sharma, A. Jagtap, and K. Kalyanaraman. CoRR, (2024)Deep Kronecker neural networks: A general framework for neural networks with adaptive activation functions.A. Jagtap, Y. Shin, K. Kawaguchi, and G. Karniadakis. CoRR, (2021)How important are activation functions in regression and classification? A survey, performance comparison, and future directions.A. Jagtap, and G. Karniadakis. CoRR, (2022)Learning stiff chemical kinetics using extended deep neural operators.S. Goswami, A. Jagtap, H. Babaee, B. Susi, and G. Karniadakis. CoRR, (2023)Physics-informed neural networks for inverse problems in supersonic flows.A. Jagtap, Z. Mao, N. Adams, and G. Karniadakis. J. Comput. Phys., (2022)Deep Kronecker neural networks: A general framework for neural networks with adaptive activation functions.A. Jagtap, Y. Shin, K. Kawaguchi, and G. Karniadakis. Neurocomputing, (2022)Extended Physics-informed Neural Networks (XPINNs): A Generalized Space-Time Domain Decomposition based Deep Learning Framework for Nonlinear Partial Differential Equations.A. Jagtap, and G. Karniadakis. AAAI Spring Symposium: MLPS, volume 2964 of CEUR Workshop Proceedings, CEUR-WS.org, (2021)Higher order scheme for two-dimensional inhomogeneous sine-Gordon equation with impulsive forcing.A. Jagtap, and A. Murthy. Commun. Nonlinear Sci. Numer. Simul., (2018)When Do Extended Physics-Informed Neural Networks (XPINNs) Improve Generalization?Z. Hu, A. Jagtap, G. Karniadakis, and K. Kawaguchi. SIAM J. Sci. Comput., 44 (5): 3158- (2022)

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Disambiguation of "Jagtap, Ameya D."

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A unified scalable framework for causal sweeping strategies for Physics-Informed Neural Networks (PINNs) and their temporal decompositions.

Please choose a person to relate this publication to

Sunil Jagtap

Smita Jagtap

Avinash Baburao Jagtap

D Böttger

D Zeppenfeld

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Jagtap, Ameya D."

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML A unified scalable framework for causal sweeping strategies for Physics-Informed Neural Networks (PINNs) and their temporal decompositions.

Please choose a person to relate this publication to

Sunil Jagtap

Smita Jagtap

Avinash Baburao Jagtap

D Böttger

D Zeppenfeld

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

A unified scalable framework for causal sweeping strategies for Physics-Informed Neural Networks (PINNs) and their temporal decompositions.