Matches in SemOpenAlex for { <https://semopenalex.org/work/W4293236413> ?p ?o ?g. }
- W4293236413 abstract "We derive low-dimensional, data-driven models for transitions among exact coherent states (ECSs) in one of the most studied canonical shear flows, the plane Couette flow. These one- or two-dimensional nonlinear models represent the leading-order reduced dynamics on attracting spectral submanifolds (SSMs), which we construct using the recently developed SSMLearn algorithm from a small number of simulated transitions. We find that the energy input and output rates provide efficient parametrizations for the most important SSMs. By restricting the dynamics to these SSMs, we obtain reduced-order models that also reliably predict nearby, off-SSM transitions that were not used in their training." @default.
- W4293236413 created "2022-08-27" @default.
- W4293236413 creator A5006883611 @default.
- W4293236413 creator A5021268301 @default.
- W4293236413 creator A5052825919 @default.
- W4293236413 date "2022-08-25" @default.
- W4293236413 modified "2023-09-26" @default.
- W4293236413 title "Dynamics-based machine learning of transitions in Couette flow" @default.
- W4293236413 cites W1579236455 @default.
- W4293236413 cites W1964551754 @default.
- W4293236413 cites W1989018928 @default.
- W4293236413 cites W2000398618 @default.
- W4293236413 cites W2006453899 @default.
- W4293236413 cites W2027475406 @default.
- W4293236413 cites W2030265216 @default.
- W4293236413 cites W2033460792 @default.
- W4293236413 cites W2040994352 @default.
- W4293236413 cites W2045082393 @default.
- W4293236413 cites W2061346054 @default.
- W4293236413 cites W2073141004 @default.
- W4293236413 cites W2080409870 @default.
- W4293236413 cites W2086085728 @default.
- W4293236413 cites W2086442120 @default.
- W4293236413 cites W2095509706 @default.
- W4293236413 cites W2097089324 @default.
- W4293236413 cites W2110062262 @default.
- W4293236413 cites W2127199749 @default.
- W4293236413 cites W2128387473 @default.
- W4293236413 cites W2134761831 @default.
- W4293236413 cites W2151773110 @default.
- W4293236413 cites W2164954534 @default.
- W4293236413 cites W2312457402 @default.
- W4293236413 cites W2549986414 @default.
- W4293236413 cites W2612097386 @default.
- W4293236413 cites W2787894218 @default.
- W4293236413 cites W2901362029 @default.
- W4293236413 cites W2901625726 @default.
- W4293236413 cites W2964025625 @default.
- W4293236413 cites W2964037860 @default.
- W4293236413 cites W3098996774 @default.
- W4293236413 cites W3099185144 @default.
- W4293236413 cites W3099295172 @default.
- W4293236413 cites W3102140816 @default.
- W4293236413 cites W3105295993 @default.
- W4293236413 cites W3203014670 @default.
- W4293236413 cites W3203180379 @default.
- W4293236413 cites W3205876219 @default.
- W4293236413 cites W4212958356 @default.
- W4293236413 cites W4289981716 @default.
- W4293236413 cites W567289629 @default.
- W4293236413 doi "https://doi.org/10.1103/physrevfluids.7.l082402" @default.
- W4293236413 hasPublicationYear "2022" @default.
- W4293236413 type Work @default.
- W4293236413 citedByCount "3" @default.
- W4293236413 countsByYear W42932364132022 @default.
- W4293236413 countsByYear W42932364132023 @default.
- W4293236413 crossrefType "journal-article" @default.
- W4293236413 hasAuthorship W4293236413A5006883611 @default.
- W4293236413 hasAuthorship W4293236413A5021268301 @default.
- W4293236413 hasAuthorship W4293236413A5052825919 @default.
- W4293236413 hasBestOaLocation W42932364132 @default.
- W4293236413 hasConcept C10138342 @default.
- W4293236413 hasConcept C11413529 @default.
- W4293236413 hasConcept C119567554 @default.
- W4293236413 hasConcept C121332964 @default.
- W4293236413 hasConcept C121864883 @default.
- W4293236413 hasConcept C145912823 @default.
- W4293236413 hasConcept C158622935 @default.
- W4293236413 hasConcept C162324750 @default.
- W4293236413 hasConcept C17825722 @default.
- W4293236413 hasConcept C182306322 @default.
- W4293236413 hasConcept C199360897 @default.
- W4293236413 hasConcept C24890656 @default.
- W4293236413 hasConcept C2524010 @default.
- W4293236413 hasConcept C2779099160 @default.
- W4293236413 hasConcept C2780801425 @default.
- W4293236413 hasConcept C33923547 @default.
- W4293236413 hasConcept C38349280 @default.
- W4293236413 hasConcept C41008148 @default.
- W4293236413 hasConcept C57879066 @default.
- W4293236413 hasConcept C62520636 @default.
- W4293236413 hasConceptScore W4293236413C10138342 @default.
- W4293236413 hasConceptScore W4293236413C11413529 @default.
- W4293236413 hasConceptScore W4293236413C119567554 @default.
- W4293236413 hasConceptScore W4293236413C121332964 @default.
- W4293236413 hasConceptScore W4293236413C121864883 @default.
- W4293236413 hasConceptScore W4293236413C145912823 @default.
- W4293236413 hasConceptScore W4293236413C158622935 @default.
- W4293236413 hasConceptScore W4293236413C162324750 @default.
- W4293236413 hasConceptScore W4293236413C17825722 @default.
- W4293236413 hasConceptScore W4293236413C182306322 @default.
- W4293236413 hasConceptScore W4293236413C199360897 @default.
- W4293236413 hasConceptScore W4293236413C24890656 @default.
- W4293236413 hasConceptScore W4293236413C2524010 @default.
- W4293236413 hasConceptScore W4293236413C2779099160 @default.
- W4293236413 hasConceptScore W4293236413C2780801425 @default.
- W4293236413 hasConceptScore W4293236413C33923547 @default.
- W4293236413 hasConceptScore W4293236413C38349280 @default.
- W4293236413 hasConceptScore W4293236413C41008148 @default.
- W4293236413 hasConceptScore W4293236413C57879066 @default.