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doi.org/10.1016/j.jcp.2022.111121
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Meta-learning PINN loss functions
Apostolos F. Psaros
12
,
Kenji Kawaguchi
36
,
George Em Karniadakis
113
View all 3 authors
Journal of Computational Physics
3.80
Volume: 458, Pages: 111121 - 111121
Published
: Mar 7, 2022
67
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Abstract
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Paper Fields
Parametrization (atmospheric modeling)
Biology
Evolutionary biology
Computer science
Management
Quantum mechanics
Machine learning
Function (biology)
Economics
Radiative transfer
Regularization (linguistics)
Meta learning (computer science)
Artificial intelligence
Artificial neural network
Task (project management)
Physics
Paper Details
Title
Meta-learning PINN loss functions
DOI
doi.org/10.1016/j.jcp.2022.111121
Published Date
Mar 7, 2022
Journal
Journal of Computational Physics
Volume
458
Pages
111121 - 111121
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Theoretical Investigation of the Influence of Wavelength on the Bandwidth in Multimode W-Type Plastic Optical Fibers with Graded-Index Core Distribution
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