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Jay Pathak

affiliation not provided to SSRN

  • affiliation not provided to SSRN

SCHOLARLY PAPERS

2

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251

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1

Scholarly Papers (2)

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1.

Ultra-Fast Meta-Solvers for 3d Scattering Problems Using Neural Operators Trained as Foundation Models

Number of pages: 22 Posted: 13 Dec 2024
Youngkyu Lee, Zongren Zou, Adar Kahana, Eli Turkel, Rishikesh Ranade, Jay Pathak and George Em Karniadakis
Korea Advanced Institute of Science and Technology (KAIST), Brown University, Brown University, Tel Aviv University - Department of applied Mathematics, affiliation not provided to SSRN, affiliation not provided to SSRN and Brown University
Downloads 159 (480,208)

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Scientific Machine Learning, wave scattering, Helmholtz equation, neural operator, Krylov methods, DeepONet

2.

Large Scale Scattering Using Fast Solvers Based on Neural Operators

Number of pages: 28 Posted: 21 May 2024
Zongren Zou, Adar Kahana, Enrui Zhang, Eli Turkel, Rishikesh Ranade, Jay Pathak and George Em Karniadakis
Brown University, Brown University, Brown University, Tel Aviv University - Department of applied Mathematics, affiliation not provided to SSRN, affiliation not provided to SSRN and Brown University
Downloads 92 (765,566)
Citation 1

Abstract:

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Scientific machine learning, wave scattering, Helmholtz equation, neural operator, DeepONet