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Multifidelity deep neural operators for efficient learning of partial differential equations with application to fast inverse design of nanoscale heat transport
Multifidelity deep neural operators for efficient learning of partial differential equations with application to fast inverse design of nanoscale heat transport
Summary
Multifidelity deep neural operators for efficient learning of partial differential equations with application to fast inverse design of nanoscale heat transport is a scholarly article[1].
Key Facts
Multifidelity deep neural operators for efficient learning of partial differential equations with application to fast inverse design of nanoscale heat transport's instance of is recorded as scholarly article[2].
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APA4ort.xyz Knowledge Graph. (2026). Multifidelity deep neural operators for efficient learning of partial differential equations with application to fast inverse design of nanoscale heat transport. Retrieved May 24, 2026, from https://4ort.xyz/entity/multifidelity-deep-neural-operators-for-efficient-learning-of-partial-differential-equations-with-application-to-fast-in
MLA“Multifidelity deep neural operators for efficient learning of partial differential equations with application to fast inverse design of nanoscale heat transport.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/multifidelity-deep-neural-operators-for-efficient-learning-of-partial-differential-equations-with-application-to-fast-in.
BibTeX@misc{4ortxyz_multifidelity-deep-neural-operators-for-efficient-learning-of-partial-differential-equations-with-application-to-fast-in_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Multifidelity deep neural operators for efficient learning of partial differential equations with application to fast inverse design of nanoscale heat transport}}, year = {2026}, url = {https://4ort.xyz/entity/multifidelity-deep-neural-operators-for-efficient-learning-of-partial-differential-equations-with-application-to-fast-in}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Multifidelity deep neural operators for efficient learning of partial differential equations with application to fast inverse design of nanoscale heat transport — https://4ort.xyz/entity/multifidelity-deep-neural-operators-for-efficient-learning-of-partial-differential-equations-with-application-to-fast-in (retrieved 2026-05-24)
