"Multifidelity deep neural operators for efficient learning of partial ..."

Lu Lu et al. (2022)

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DOI: 10.48550/ARXIV.2204.06684

access: open

type: Informal or Other Publication

metadata version: 2024-07-31

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Lu Lu, Raphaël Pestourie, Steven G. Johnson, Giuseppe Romano:
Multifidelity deep neural operators for efficient learning of partial differential equations with application to fast inverse design of nanoscale heat transport. CoRR abs/2204.06684 (2022)

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