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Physics-informed machine learning

George Em Karniadakis; Ioannis G. Kevrekidis; Lu Lu; Paris Perdikaris; Sifan Wang; Liu Yang · Nature Reviews Physics · 2021

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Author / responsible party
George Em Karniadakis; Ioannis G. Kevrekidis; Lu Lu; Paris Perdikaris; Sifan Wang; Liu Yang
Publisher
Nature Reviews Physics
Year
2021
Language
English

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APA 7

Karniadakis, G. E, Kevrekidis, I. G, Lu, L, Perdikaris, P, Wang, S, & Yang, L. (2021). Physics-informed machine learning. Nature Reviews Physics. https://doi.org/10.1038/s42254-021-00314-5

MLA

Karniadakis, George Em, et al. Physics-informed machine learning. Nature Reviews Physics, 2021. https://doi.org/10.1038/s42254-021-00314-5.

Chicago

Karniadakis, George Em, Ioannis G. Kevrekidis, Lu Lu, Paris Perdikaris, Sifan Wang, and Liu Yang. 2021. Physics-informed machine learning. Nature Reviews Physics. https://doi.org/10.1038/s42254-021-00314-5.

Harvard

Karniadakis, G. E. et al. 2021, Physics-informed machine learning, Nature Reviews Physics, available at: https://doi.org/10.1038/s42254-021-00314-5 [Accessed 7 Aug. 2026].

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Resource details

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Title
Physics-informed machine learning
Author / contributors
George Em Karniadakis; Ioannis G. Kevrekidis; Lu Lu; Paris Perdikaris; Sifan Wang; Liu Yang
Publisher
Nature Reviews Physics
Publication year
2021
Language
English

Subjects

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Computer science; Artificial intelligence; Machine learning; Multiphysics; Inference; Artificial neural network; Physical law; Field (mathematics); Discretization; Kernel method; Deep learning; Theoretical computer science
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