Matches in SemOpenAlex for { <https://semopenalex.org/work/W3201253676> ?p ?o ?g. }
Showing items 1 to 88 of
88
with 100 items per page.
- W3201253676 abstract "Gaining and understanding the flow dynamics have much importance in a wide range of disciplines, e.g. astrophysics, geophysics, biology, mechanical engineering and biomedical engineering. As a reliable way in practice, especially for turbulent flows, regional flow information such as velocity and its statistics, can be measured experimentally. Due to the poor fidelity or other technical limitations, some information may not be resolved in a region of interest. On the other hand, detailed flow features are described by the governing equations, e.g. the Navier-Stokes equations for viscous fluid, and can be resolved numerically, which is heavily dependent on the capability of either computing resources or modelling. Alternatively, we address this problem by employing the physics-informed deep learning, and treat the governing equations as a parameterised constraint to recover the missing flow dynamics. We demonstrate that with limited data, no matter from experiment or others, the flow dynamics in the region where the required data is missing or not measured, can be reconstructed with the parameterised governing equations. Meanwhile, a richer dataset, with spatial distribution of the control parameter (e.g. eddy viscosity of turbulence modellings), can be obtained. The method provided in this paper may shed light on data-driven scale-adaptive turbulent structure recovering and understanding of complex fluid physics, and can be extended to other parameterised governing systems beyond fluid mechanics." @default.
- W3201253676 created "2021-09-27" @default.
- W3201253676 creator A5045075478 @default.
- W3201253676 creator A5066680353 @default.
- W3201253676 creator A5084438362 @default.
- W3201253676 date "2021-09-01" @default.
- W3201253676 modified "2023-10-14" @default.
- W3201253676 title "Explore missing flow dynamics by physics-informed deep learning: The parameterized governing systems" @default.
- W3201253676 cites W1966763784 @default.
- W3201253676 cites W1981401379 @default.
- W3201253676 cites W2037365823 @default.
- W3201253676 cites W2110187357 @default.
- W3201253676 cites W2131908956 @default.
- W3201253676 cites W2490045648 @default.
- W3201253676 cites W2525748878 @default.
- W3201253676 cites W2534240011 @default.
- W3201253676 cites W2555523034 @default.
- W3201253676 cites W2619115145 @default.
- W3201253676 cites W2767760561 @default.
- W3201253676 cites W2795982117 @default.
- W3201253676 cites W2899283552 @default.
- W3201253676 cites W2918060023 @default.
- W3201253676 cites W2919958648 @default.
- W3201253676 cites W2998366519 @default.
- W3201253676 cites W2999451223 @default.
- W3201253676 cites W3003922491 @default.
- W3201253676 cites W3010839048 @default.
- W3201253676 cites W3041682155 @default.
- W3201253676 cites W3047001618 @default.
- W3201253676 cites W3048444177 @default.
- W3201253676 cites W3102140816 @default.
- W3201253676 cites W3105469151 @default.
- W3201253676 cites W3105648287 @default.
- W3201253676 cites W3200673624 @default.
- W3201253676 doi "https://doi.org/10.1063/5.0062377" @default.
- W3201253676 hasPublicationYear "2021" @default.
- W3201253676 type Work @default.
- W3201253676 sameAs 3201253676 @default.
- W3201253676 citedByCount "27" @default.
- W3201253676 countsByYear W32012536762021 @default.
- W3201253676 countsByYear W32012536762022 @default.
- W3201253676 countsByYear W32012536762023 @default.
- W3201253676 crossrefType "journal-article" @default.
- W3201253676 hasAuthorship W3201253676A5045075478 @default.
- W3201253676 hasAuthorship W3201253676A5066680353 @default.
- W3201253676 hasAuthorship W3201253676A5084438362 @default.
- W3201253676 hasBestOaLocation W32012536762 @default.
- W3201253676 hasConcept C121332964 @default.
- W3201253676 hasConcept C121864883 @default.
- W3201253676 hasConcept C196558001 @default.
- W3201253676 hasConcept C204573209 @default.
- W3201253676 hasConcept C38349280 @default.
- W3201253676 hasConcept C43133876 @default.
- W3201253676 hasConcept C57879066 @default.
- W3201253676 hasConcept C74650414 @default.
- W3201253676 hasConcept C90278072 @default.
- W3201253676 hasConceptScore W3201253676C121332964 @default.
- W3201253676 hasConceptScore W3201253676C121864883 @default.
- W3201253676 hasConceptScore W3201253676C196558001 @default.
- W3201253676 hasConceptScore W3201253676C204573209 @default.
- W3201253676 hasConceptScore W3201253676C38349280 @default.
- W3201253676 hasConceptScore W3201253676C43133876 @default.
- W3201253676 hasConceptScore W3201253676C57879066 @default.
- W3201253676 hasConceptScore W3201253676C74650414 @default.
- W3201253676 hasConceptScore W3201253676C90278072 @default.
- W3201253676 hasFunder F4320321001 @default.
- W3201253676 hasFunder F4320329896 @default.
- W3201253676 hasIssue "9" @default.
- W3201253676 hasLocation W32012536761 @default.
- W3201253676 hasLocation W32012536762 @default.
- W3201253676 hasLocation W32012536763 @default.
- W3201253676 hasOpenAccess W3201253676 @default.
- W3201253676 hasPrimaryLocation W32012536761 @default.
- W3201253676 hasRelatedWork W1916722776 @default.
- W3201253676 hasRelatedWork W1991624033 @default.
- W3201253676 hasRelatedWork W2055622254 @default.
- W3201253676 hasRelatedWork W2137273679 @default.
- W3201253676 hasRelatedWork W2326627627 @default.
- W3201253676 hasRelatedWork W2330034415 @default.
- W3201253676 hasRelatedWork W2741728526 @default.
- W3201253676 hasRelatedWork W4245715119 @default.
- W3201253676 hasRelatedWork W4362649909 @default.
- W3201253676 hasRelatedWork W797900856 @default.
- W3201253676 hasVolume "33" @default.
- W3201253676 isParatext "false" @default.
- W3201253676 isRetracted "false" @default.
- W3201253676 magId "3201253676" @default.
- W3201253676 workType "article" @default.