Matches in SemOpenAlex for { <https://semopenalex.org/work/W4289699964> ?p ?o ?g. }
Showing items 1 to 63 of
63
with 100 items per page.
- W4289699964 abstract "We present hidden fluid mechanics (HFM), a physics informed deep learning framework capable of encoding an important class of physical laws governing fluid motions, namely the Navier-Stokes equations. In particular, we seek to leverage the underlying conservation laws (i.e., for mass, momentum, and energy) to infer hidden quantities of interest such as velocity and pressure fields merely from spatio-temporal visualizations of a passive scaler (e.g., dye or smoke), transported in arbitrarily complex domains (e.g., in human arteries or brain aneurysms). Our approach towards solving the aforementioned data assimilation problem is unique as we design an algorithm that is agnostic to the geometry or the initial and boundary conditions. This makes HFM highly flexible in choosing the spatio-temporal domain of interest for data acquisition as well as subsequent training and predictions. Consequently, the predictions made by HFM are among those cases where a pure machine learning strategy or a mere scientific computing approach simply cannot reproduce. The proposed algorithm achieves accurate predictions of the pressure and velocity fields in both two and three dimensional flows for several benchmark problems motivated by real-world applications. Our results demonstrate that this relatively simple methodology can be used in physical and biomedical problems to extract valuable quantitative information (e.g., lift and drag forces or wall shear stresses in arteries) for which direct measurements may not be possible." @default.
- W4289699964 created "2022-08-04" @default.
- W4289699964 creator A5009658255 @default.
- W4289699964 creator A5012536010 @default.
- W4289699964 creator A5067132763 @default.
- W4289699964 date "2018-08-13" @default.
- W4289699964 modified "2023-10-17" @default.
- W4289699964 title "Hidden Fluid Mechanics: A Navier-Stokes Informed Deep Learning Framework for Assimilating Flow Visualization Data" @default.
- W4289699964 doi "https://doi.org/10.48550/arxiv.1808.04327" @default.
- W4289699964 hasPublicationYear "2018" @default.
- W4289699964 type Work @default.
- W4289699964 citedByCount "3" @default.
- W4289699964 countsByYear W42896999642022 @default.
- W4289699964 countsByYear W42896999642023 @default.
- W4289699964 crossrefType "posted-content" @default.
- W4289699964 hasAuthorship W4289699964A5009658255 @default.
- W4289699964 hasAuthorship W4289699964A5012536010 @default.
- W4289699964 hasAuthorship W4289699964A5067132763 @default.
- W4289699964 hasBestOaLocation W42896999641 @default.
- W4289699964 hasConcept C119857082 @default.
- W4289699964 hasConcept C121332964 @default.
- W4289699964 hasConcept C139002025 @default.
- W4289699964 hasConcept C153083717 @default.
- W4289699964 hasConcept C154945302 @default.
- W4289699964 hasConcept C19191322 @default.
- W4289699964 hasConcept C36464697 @default.
- W4289699964 hasConcept C38349280 @default.
- W4289699964 hasConcept C41008148 @default.
- W4289699964 hasConcept C43133876 @default.
- W4289699964 hasConcept C57879066 @default.
- W4289699964 hasConcept C72921944 @default.
- W4289699964 hasConcept C90278072 @default.
- W4289699964 hasConcept C91188154 @default.
- W4289699964 hasConceptScore W4289699964C119857082 @default.
- W4289699964 hasConceptScore W4289699964C121332964 @default.
- W4289699964 hasConceptScore W4289699964C139002025 @default.
- W4289699964 hasConceptScore W4289699964C153083717 @default.
- W4289699964 hasConceptScore W4289699964C154945302 @default.
- W4289699964 hasConceptScore W4289699964C19191322 @default.
- W4289699964 hasConceptScore W4289699964C36464697 @default.
- W4289699964 hasConceptScore W4289699964C38349280 @default.
- W4289699964 hasConceptScore W4289699964C41008148 @default.
- W4289699964 hasConceptScore W4289699964C43133876 @default.
- W4289699964 hasConceptScore W4289699964C57879066 @default.
- W4289699964 hasConceptScore W4289699964C72921944 @default.
- W4289699964 hasConceptScore W4289699964C90278072 @default.
- W4289699964 hasConceptScore W4289699964C91188154 @default.
- W4289699964 hasLocation W42896999641 @default.
- W4289699964 hasOpenAccess W4289699964 @default.
- W4289699964 hasPrimaryLocation W42896999641 @default.
- W4289699964 hasRelatedWork W1992038662 @default.
- W4289699964 hasRelatedWork W2002879557 @default.
- W4289699964 hasRelatedWork W2006146088 @default.
- W4289699964 hasRelatedWork W2061495754 @default.
- W4289699964 hasRelatedWork W2142638316 @default.
- W4289699964 hasRelatedWork W2298651637 @default.
- W4289699964 hasRelatedWork W2326627627 @default.
- W4289699964 hasRelatedWork W3047229100 @default.
- W4289699964 hasRelatedWork W38780305 @default.
- W4289699964 hasRelatedWork W41207984 @default.
- W4289699964 isParatext "false" @default.
- W4289699964 isRetracted "false" @default.
- W4289699964 workType "article" @default.