Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-07-09T21:43:53.789848Z
Paper Citation Record · LEDGER
Learning Turbulence Closures with Physics-Informed Neural Networks for the Rayleigh-Taylor Transition to Turbulence
As of 10 August 2026, this Paper Citation Record lists 74 of 74 outbound references and 0 inbound Pith citation observations for arXiv:2607.07020.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
74 of 74 outbound references displayed
- verified exact17
- verified fuzzy33
- unresolved18
- parse uncertain0
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External citation measurements
No source-named external measurement is stored.
Outbound references
Observation eb9e190b-5441-4e8b-a536-f6f2c7f2774b · outbound
This paper cites These approaches offer the advantage of not requiring a dedicated RANS solver, as the RANS model can be incorporated directly into the loss function [35, 36].
Learning Turbulence Closures with Physics-Informed Neural Networks for the Rayleigh-Taylor Transition to Turbulence These approaches offer the advantage of not requiring a dedicated RANS solver, as the RANS model can be incorporated directly into the loss function [35, 36]
Reference 1
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 002f14c3-b657-4433-bc8d-0a06eed78902 · outbound
This paper cites This makes it possible to set the value ofCε2 to 1.92, as is commonly done in most RANS models [49].
Learning Turbulence Closures with Physics-Informed Neural Networks for the Rayleigh-Taylor Transition to Turbulence This makes it possible to set the value ofCε2 to 1.92, as is commonly done in most RANS models [49]
Reference 2
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation ec8ac407-0fcc-47c0-b478-25b083a728de · outbound
This paper cites As can be seen, the calibrated coefficients obtained from the different approaches—regression, Bayesian calibration, and PINN-C 0D or 1D— are in good agreement.
Learning Turbulence Closures with Physics-Informed Neural Networks for the Rayleigh-Taylor Transition to Turbulence As can be seen, the calibrated coefficients obtained from the different approaches—regression, Bayesian calibration, and PINN-C 0D or 1D— are in good agreement
Reference 3
- Resolution
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Observation d6f2265e-4ece-4dd7-99df-95fea595f54c · outbound
This paper cites an unresolved cited work.
Learning Turbulence Closures with Physics-Informed Neural Networks for the Rayleigh-Taylor Transition to Turbulence Unresolved cited work
Reference 4
- Resolution
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Source-reported events for the cited work
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Observation 156e24f0-2505-40fd-b8c8-6765d47edacb · outbound
This paper cites The idea for the calibration is similar to the one performed by Nadiga et al.
Learning Turbulence Closures with Physics-Informed Neural Networks for the Rayleigh-Taylor Transition to Turbulence The idea for the calibration is similar to the one performed by Nadiga et al
Reference 5
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 05c83846-0641-435d-8939-8c63ff665a8c · outbound
This paper cites 27 0.13435 0.13440 0.13445 σc 0 10000 20000p.
Learning Turbulence Closures with Physics-Informed Neural Networks for the Rayleigh-Taylor Transition to Turbulence 27 0.13435 0.13440 0.13445 σc 0 10000 20000p
Reference 6
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Source-reported events for the cited work
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Observation f7fabe14-10f9-4e60-8c44-0114afce3901 · outbound
This paper cites an unresolved cited work.
Learning Turbulence Closures with Physics-Informed Neural Networks for the Rayleigh-Taylor Transition to Turbulence Unresolved cited work
Reference 7
- Resolution
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Source-reported events for the cited work
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Observation 4461f675-43f2-420a-b5be-cfa485ac3f09 · outbound
This paper cites an unresolved cited work.
Learning Turbulence Closures with Physics-Informed Neural Networks for the Rayleigh-Taylor Transition to Turbulence Unresolved cited work
Reference 8
- Resolution
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Source-reported events for the cited work
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Observation 8b95ee41-dccf-4660-8b87-c832d997945d · outbound
This paper cites an unresolved cited work.
Learning Turbulence Closures with Physics-Informed Neural Networks for the Rayleigh-Taylor Transition to Turbulence Unresolved cited work
Reference 9
- Resolution
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Source-reported events for the cited work
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Observation 38a8545f-6d06-4e70-9138-a082567fbf95 · outbound
This paper cites an unresolved cited work.
Learning Turbulence Closures with Physics-Informed Neural Networks for the Rayleigh-Taylor Transition to Turbulence Unresolved cited work
Reference 10
- Resolution
- unresolved
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 24578c8c-aa5e-4e33-b0d7-58641c163da3 · outbound
This paper cites Zhou, Physics Reports720-722, 1 (2017), ISSN 0370-1573, rayleigh–Taylor and Richt- myer–Meshkov instability induced flow, turbulence, and mixing.
Learning Turbulence Closures with Physics-Informed Neural Networks for the Rayleigh-Taylor Transition to Turbulence Zhou, Physics Reports720-722, 1 (2017), ISSN 0370-1573, rayleigh–Taylor and Richt- myer–Meshkov instability induced flow, turbulence, and mixing
Reference 11
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Source-reported events for the cited work
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Observation 89cd674e-ec9f-4a8a-9a25-5dc7ac49e2cf · outbound
This paper cites Zhou, Physics Reports723-725, 1 (2017), ISSN 0370-1573, rayleigh–Taylor and Richt- myer–Meshkov instability induced flow, turbulence, and mixing.
Learning Turbulence Closures with Physics-Informed Neural Networks for the Rayleigh-Taylor Transition to Turbulence Zhou, Physics Reports723-725, 1 (2017), ISSN 0370-1573, rayleigh–Taylor and Richt- myer–Meshkov instability induced flow, turbulence, and mixing
Reference 12
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Source-reported events for the cited work
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Observation eed14003-9697-4d85-87fc-ce2393a2df50 · outbound
This paper cites Lindl, Physics of Plasmas2, 3933 (1995), ISSN 1070-664X, 1089- 7674, URLhttps://pubs.aip.org/pop/article/2/11/3933/261855/ Development-of-the-indirect-drive-approach-to.
Learning Turbulence Closures with Physics-Informed Neural Networks for the Rayleigh-Taylor Transition to Turbulence Lindl, Physics of Plasmas2, 3933 (1995), ISSN 1070-664X, 1089- 7674, URLhttps://pubs.aip.org/pop/article/2/11/3933/261855/ Development-of-the-indirect-drive-approach-to
Reference 13
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Observation d80f30eb-d3e5-4885-ba1e-dec3c19358ae · outbound
This paper cites Betti and O.
Reference 14
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 8085d1c7-bd91-466b-aaa3-554ce28611a9 · outbound
This paper cites an unresolved cited work.
Learning Turbulence Closures with Physics-Informed Neural Networks for the Rayleigh-Taylor Transition to Turbulence Unresolved cited work
Reference 15
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Source-reported events for the cited work
correction dated 2023-01-25. Source: crossref record 10.1073/pnas.2221966120->10.1073/pnas.1717236115:correction, observed 2026-07-11T02:56:45.779481+00:00. This notice travels one citation hop only.
Observation 4debe538-9432-4234-bf42-19057d07da79 · outbound
This paper cites an unresolved cited work.
Learning Turbulence Closures with Physics-Informed Neural Networks for the Rayleigh-Taylor Transition to Turbulence Unresolved cited work
Reference 16
- Resolution
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Source-reported events for the cited work
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Observation 736e3ea0-e20e-491b-b9be-3ddde87067f8 · outbound
This paper cites Computation at the edge of chaos: Phase transitions and emergent computation.
Learning Turbulence Closures with Physics-Informed Neural Networks for the Rayleigh-Taylor Transition to Turbulence Computation at the edge of chaos: Phase transitions and emergent computation
Reference 17
- Resolution
- verified exact
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Source-reported events for the cited work
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Observation 013e3b55-d9a8-4615-834a-56442b78deae · outbound
This paper cites Chandrasekhar,Hydrodynamic and hydromagnetic stability(Courier Corporation, 2013).
Learning Turbulence Closures with Physics-Informed Neural Networks for the Rayleigh-Taylor Transition to Turbulence Chandrasekhar,Hydrodynamic and hydromagnetic stability(Courier Corporation, 2013)
Reference 18
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 68b5e2d1-8567-4cea-85f9-b01e979ae3d5 · outbound
This paper cites an unresolved cited work.
Learning Turbulence Closures with Physics-Informed Neural Networks for the Rayleigh-Taylor Transition to Turbulence Unresolved cited work
Reference 19
- Resolution
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Source-reported events for the cited work
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Observation 9a0cd5c6-f2a2-4087-8294-9eda56437d07 · outbound
This paper cites an unresolved cited work.
Learning Turbulence Closures with Physics-Informed Neural Networks for the Rayleigh-Taylor Transition to Turbulence Unresolved cited work
Reference 20
- Resolution
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Observation 244628aa-0a3e-4fab-8100-9f47fb891523 · outbound
This paper cites an unresolved cited work.
Learning Turbulence Closures with Physics-Informed Neural Networks for the Rayleigh-Taylor Transition to Turbulence Unresolved cited work
Reference 21
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Observation f6103ffc-0c4d-4fe3-a6cf-433d6beb9c6e · outbound
This paper cites Thévenin, B.-J.
Learning Turbulence Closures with Physics-Informed Neural Networks for the Rayleigh-Taylor Transition to Turbulence Thévenin, B.-J
Reference 22
- Resolution
- verified exact
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Source-reported events for the cited work
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Observation 2486242b-8591-44fc-b694-3ba8c41e611e · outbound
This paper cites Thévenin and B.-J.
Learning Turbulence Closures with Physics-Informed Neural Networks for the Rayleigh-Taylor Transition to Turbulence Thévenin and B.-J
Reference 23
- Resolution
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Source-reported events for the cited work
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Observation 8036a08a-242a-4a39-8b36-3bc7290d80de · outbound
This paper cites an unresolved cited work.
Learning Turbulence Closures with Physics-Informed Neural Networks for the Rayleigh-Taylor Transition to Turbulence Unresolved cited work
Reference 24
- Resolution
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Source-reported events for the cited work
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Observation 37e37b86-486e-48a4-b813-099a8b9318fe · outbound
This paper cites Dimonte, Physics of Plasmas7, 2255 (2000), ISSN 1070-664X, 1089-7674, URLhttps://pubs.aip.org/pop/article/7/6/2255/103605/ Spanwise-homogeneous-buoyancy-drag-model-for.
Learning Turbulence Closures with Physics-Informed Neural Networks for the Rayleigh-Taylor Transition to Turbulence Dimonte, Physics of Plasmas7, 2255 (2000), ISSN 1070-664X, 1089-7674, URLhttps://pubs.aip.org/pop/article/7/6/2255/103605/ Spanwise-homogeneous-buoyancy-drag-model-for
Reference 25
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Source-reported events for the cited work
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Observation 4388afa4-e532-4c37-b72f-241f9d915471 · outbound
This paper cites an unresolved cited work.
Learning Turbulence Closures with Physics-Informed Neural Networks for the Rayleigh-Taylor Transition to Turbulence Unresolved cited work
Reference 26
- Resolution
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Source-reported events for the cited work
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Observation f18cc7b8-fd60-40fd-8176-9c021560d621 · outbound
This paper cites Schilling, Physica D: Nonlinear Phenomena402, 132238 (2020).
Learning Turbulence Closures with Physics-Informed Neural Networks for the Rayleigh-Taylor Transition to Turbulence Schilling, Physica D: Nonlinear Phenomena402, 132238 (2020)
Reference 27
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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 6cf9987e-8bf6-44db-8eda-8114064bb9cc · outbound
This paper cites an unresolved cited work.
Learning Turbulence Closures with Physics-Informed Neural Networks for the Rayleigh-Taylor Transition to Turbulence Unresolved cited work
Reference 28
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Source-reported events for the cited work
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Observation ea00c318-6e3b-473b-b78a-08ab963731b4 · outbound
This paper cites an unresolved cited work.
Learning Turbulence Closures with Physics-Informed Neural Networks for the Rayleigh-Taylor Transition to Turbulence Unresolved cited work
Reference 29
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Source-reported events for the cited work
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Observation 24ec9f11-9571-4d71-a439-c955c83289c7 · outbound
This paper cites an unresolved cited work.
Learning Turbulence Closures with Physics-Informed Neural Networks for the Rayleigh-Taylor Transition to Turbulence Unresolved cited work
Reference 30
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Source-reported events for the cited work
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Observation 6b812ae4-d33b-439e-926a-6fa128279ff4 · outbound
This paper cites Rollin and M.
Learning Turbulence Closures with Physics-Informed Neural Networks for the Rayleigh-Taylor Transition to Turbulence Rollin and M
Reference 31
- Resolution
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Observation d3d4bfde-8eb8-4325-acfd-d9770af98ba3 · outbound
This paper cites an unresolved cited work.
Learning Turbulence Closures with Physics-Informed Neural Networks for the Rayleigh-Taylor Transition to Turbulence Unresolved cited work
Reference 32
- Resolution
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Source-reported events for the cited work
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Observation dc8167a2-1b66-4839-a4eb-6bac138bf1f1 · outbound
This paper cites an unresolved cited work.
Learning Turbulence Closures with Physics-Informed Neural Networks for the Rayleigh-Taylor Transition to Turbulence Unresolved cited work
Reference 33
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Source-reported events for the cited work
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Observation c56a6b8a-84f2-4226-9348-92ced6500161 · outbound
This paper cites Duraisamy, G.
Learning Turbulence Closures with Physics-Informed Neural Networks for the Rayleigh-Taylor Transition to Turbulence Duraisamy, G
Reference 34
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 38e65601-a317-45a7-a91d-efaa91bf3a92 · outbound
This paper cites Duraisamy, Phys.
Learning Turbulence Closures with Physics-Informed Neural Networks for the Rayleigh-Taylor Transition to Turbulence Duraisamy, Phys
Reference 35
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 209a1919-d70b-4f6b-b660-11d3c29b8317 · outbound
This paper cites Xiao and P.
Reference 36
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 18db1c38-cc68-46c8-b11f-2104aa0a3d02 · outbound
This paper cites Boureima, V.
Reference 37
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 6fa18a88-1352-4916-8df9-a0d71e4ea557 · outbound
This paper cites an unresolved cited work.
Learning Turbulence Closures with Physics-Informed Neural Networks for the Rayleigh-Taylor Transition to Turbulence Unresolved cited work
Reference 38
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 9f55914d-1b1a-4e8e-ba2f-41b215e0e3ba · outbound
This paper cites Edeling, P.
Reference 39
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- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation bd325886-7026-4633-8cf1-c311b6426261 · outbound
This paper cites Nadiga, C.
Reference 40
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation ee3fae19-9c7c-4555-80cc-e70da44a1795 · outbound
This paper cites Raissi, P.
Reference 41
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 02c01de8-a715-4b5f-a5ef-d78df99b8f09 · outbound
This paper cites Eivazi, M.
Reference 42
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation b01b0147-34c6-45b0-85c6-741f4ae07730 · outbound
This paper cites Xiao, T.-C.
Reference 43
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation d34a888d-8698-4924-9cb5-f26d4d7e98e0 · outbound
This paper cites Zhang, K.
Reference 44
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- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation cf1d0975-acf4-465f-a6e2-7629fedf37a5 · outbound
This paper cites an unresolved cited work.
Learning Turbulence Closures with Physics-Informed Neural Networks for the Rayleigh-Taylor Transition to Turbulence Unresolved cited work
Reference 45
- Resolution
- unresolved
- raw_fallback, observed 2026-07-09T21:46:34.771946Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 1cf51b65-3ca8-45a3-9016-a808bbd643b2 · outbound
This paper cites Patel, V.
Reference 46
- Resolution
- verified exact
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 59198cb2-c813-42d2-ad08-653bca54d239 · outbound
This paper cites Kenjereš and K.
Learning Turbulence Closures with Physics-Informed Neural Networks for the Rayleigh-Taylor Transition to Turbulence Kenjereš and K
Reference 47
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- verified exact
- doi, observed 2026-07-09T21:46:34.550699Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 1eb38a9a-14f1-4bd7-b1ca-898affda4c3f · outbound
This paper cites Schilling and N.
Learning Turbulence Closures with Physics-Informed Neural Networks for the Rayleigh-Taylor Transition to Turbulence Schilling and N
Reference 48
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- verified exact
- doi, observed 2026-07-09T21:46:34.556573Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 17179173-1d15-4dbd-9f81-169c4501a233 · outbound
This paper cites Thévenin, B.-J.
Learning Turbulence Closures with Physics-Informed Neural Networks for the Rayleigh-Taylor Transition to Turbulence Thévenin, B.-J
Reference 49
- Resolution
- verified exact
- doi, observed 2026-07-09T21:46:34.562163Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 4d9ae97b-6a3c-4ee2-9d8d-069bb15622f7 · outbound
This paper cites Gréa and A.
Reference 50
- Resolution
- verified exact
- doi, observed 2026-07-09T21:46:34.532204Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation b14da91e-5a1b-40c1-b31f-efd7ece5946e · outbound
This paper cites Briard, L.
Reference 51
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-09T21:46:34.677242Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 00b3294a-1c0c-4ee8-9443-8c0b63c09c05 · outbound
This paper cites Briard, B.-J.
Learning Turbulence Closures with Physics-Informed Neural Networks for the Rayleigh-Taylor Transition to Turbulence Briard, B.-J
Reference 52
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-09T21:46:34.760581Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 8d9ee2e7-f7ea-42d7-bcb7-17279a827b50 · outbound
This paper cites Briard, B.-J.
Learning Turbulence Closures with Physics-Informed Neural Networks for the Rayleigh-Taylor Transition to Turbulence Briard, B.-J
Reference 53
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-09T21:46:34.741408Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation c01c982f-2eb6-45f8-bd03-1758be76cd34 · outbound
This paper cites A comparative study of the turbulent Rayleigh-Taylor instability using high-resolution three-dimensional numerical simulations: The Alpha-Group collaboration.
Learning Turbulence Closures with Physics-Informed Neural Networks for the Rayleigh-Taylor Transition to Turbulence A comparative study of the turbulent Rayleigh-Taylor instability using high-resolution three-dimensional numerical simulations: The Alpha-Group collaboration
Reference 54
- Resolution
- verified exact
- doi, observed 2026-07-09T21:46:34.536395Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 002f4eab-2af9-4ca1-8cc5-ba02233e74b3 · outbound
This paper cites an unresolved cited work.
Learning Turbulence Closures with Physics-Informed Neural Networks for the Rayleigh-Taylor Transition to Turbulence Unresolved cited work
Reference 55
- Resolution
- verified exact
- doi, observed 2026-07-09T21:46:34.554666Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 9666a9a5-43dd-4ebd-af1f-df0d17ccccab · outbound
This paper cites Hanjalić, Annual Review of Fluid Mechanics34, 321–347 (2002), ISSN 1545- 4479, URLhttps://www.annualreviews.org/content/journals/10.1146/annurev.fluid.
Learning Turbulence Closures with Physics-Informed Neural Networks for the Rayleigh-Taylor Transition to Turbulence Hanjalić, Annual Review of Fluid Mechanics34, 321–347 (2002), ISSN 1545- 4479, URLhttps://www.annualreviews.org/content/journals/10.1146/annurev.fluid
Reference 56
- Resolution
- malformed identifier
- doi_truncated, observed 2026-07-09T21:46:34.541633Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 565cea37-482b-4341-86f7-19ca22c23c91 · outbound
This paper cites Meldi and P.
Reference 57
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-09T21:46:34.663095Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation af8f9ceb-30e6-42d6-b366-309cd0604e77 · outbound
This paper cites Schiestel,Modeling and simulation of turbulent flows, vol.
Learning Turbulence Closures with Physics-Informed Neural Networks for the Rayleigh-Taylor Transition to Turbulence Schiestel,Modeling and simulation of turbulent flows, vol
Reference 58
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-09T21:46:34.736339Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 2ee092f0-6449-4e4b-8768-693daf4ddf62 · outbound
This paper cites Gréa, Journal of Turbulence16, 184 (2015).
Learning Turbulence Closures with Physics-Informed Neural Networks for the Rayleigh-Taylor Transition to Turbulence Gréa, Journal of Turbulence16, 184 (2015)
Reference 59
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-09T21:46:34.728413Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation d170ad82-54e4-414f-9060-1fd7372370c3 · outbound
This paper cites Griffond, O.
Reference 60
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-09T21:46:34.746829Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation f24fb898-e228-4ba8-9687-229b9e766cd7 · outbound
This paper cites Schmelzer, R.
Learning Turbulence Closures with Physics-Informed Neural Networks for the Rayleigh-Taylor Transition to Turbulence Schmelzer, R
Reference 61
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-09T21:46:34.686735Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 966d70ed-5a0b-46cc-8eec-63687788d951 · outbound
This paper cites an unresolved cited work.
Learning Turbulence Closures with Physics-Informed Neural Networks for the Rayleigh-Taylor Transition to Turbulence Unresolved cited work
Reference 62
- Resolution
- unresolved
- raw_fallback, observed 2026-07-09T21:46:34.653401Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 5ae4e258-5657-4035-b2f7-79af9d407fc1 · outbound
This paper cites Thévenin, N.
Reference 63
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-09T21:46:34.711806Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 0dd96d66-5d58-4d88-881e-f97096c5f65f · outbound
This paper cites Interpretable Machine Learning for Science with PySR and SymbolicRegression.jl.
Learning Turbulence Closures with Physics-Informed Neural Networks for the Rayleigh-Taylor Transition to Turbulence Interpretable Machine Learning for Science with PySR and SymbolicRegression.jl
Reference 64
- Resolution
- verified exact
- local_arxiv, observed 2026-07-09T21:46:34.590197Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation a1683ad9-a2b0-4bb8-a637-866ed805a380 · outbound
This paper cites Metropolis, A.
Learning Turbulence Closures with Physics-Informed Neural Networks for the Rayleigh-Taylor Transition to Turbulence Metropolis, A
Reference 65
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-09T21:46:34.708088Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 5e74ccd4-a7c5-4c05-9588-526601e75b59 · outbound
This paper cites doi:10.1098/rstl.1763.0053 , urldate =.
Learning Turbulence Closures with Physics-Informed Neural Networks for the Rayleigh-Taylor Transition to Turbulence doi:10.1098/rstl.1763.0053 , urldate =
Reference 66
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-07-09T21:46:34.593487Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation e94994de-7f52-4150-a2ec-48cc808182f7 · outbound
This paper cites an unresolved cited work.
Learning Turbulence Closures with Physics-Informed Neural Networks for the Rayleigh-Taylor Transition to Turbulence Unresolved cited work
Reference 67
- Resolution
- unresolved
- raw_fallback, observed 2026-07-09T21:46:34.690937Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 2fc60450-5041-46ad-83b6-fc988e04d342 · outbound
This paper cites MCMC using Hamiltonian dynamics.
Learning Turbulence Closures with Physics-Informed Neural Networks for the Rayleigh-Taylor Transition to Turbulence MCMC using Hamiltonian dynamics
Reference 68
- Resolution
- verified exact
- local_arxiv, observed 2026-07-09T21:46:34.602590Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation d48d74dd-3561-4111-b49a-ec78519968f9 · outbound
This paper cites Abril-Pla, V.
Learning Turbulence Closures with Physics-Informed Neural Networks for the Rayleigh-Taylor Transition to Turbulence Abril-Pla, V
Reference 69
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-09T21:46:34.737254Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation eb1c3e81-edce-4cfb-b773-bf7f1bbd45b6 · outbound
This paper cites Golub, Michael Heath, and Grace Wahba.
Learning Turbulence Closures with Physics-Informed Neural Networks for the Rayleigh-Taylor Transition to Turbulence Golub, Michael Heath, and Grace Wahba
Reference 70
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-07-09T21:46:34.551908Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation ce6db5d9-e3a8-45cf-b5c8-f1dfbaf1d265 · outbound
This paper cites Shukla, P.
Reference 71
- Resolution
- verified exact
- doi, observed 2026-07-09T21:46:34.552608Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation f838411b-8cfb-47ad-8f41-a1f8fef5576c · outbound
This paper cites Adam: A Method for Stochastic Optimization.
Learning Turbulence Closures with Physics-Informed Neural Networks for the Rayleigh-Taylor Transition to Turbulence Adam: A Method for Stochastic Optimization
Reference 72
- Resolution
- verified exact
- local_arxiv, observed 2026-07-09T21:46:34.596864Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation c37d4ec1-74da-48ad-a698-908dc5672235 · outbound
This paper cites an unresolved cited work.
Learning Turbulence Closures with Physics-Informed Neural Networks for the Rayleigh-Taylor Transition to Turbulence Unresolved cited work
Reference 73
- Resolution
- unresolved
- raw_fallback, observed 2026-07-09T21:46:34.755307Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 76608982-fc12-461e-b2aa-0a6826dd04b1 · outbound
This paper cites Learning in PINNs: Phase transition, total diffusion, and generalization.
Learning Turbulence Closures with Physics-Informed Neural Networks for the Rayleigh-Taylor Transition to Turbulence Learning in PINNs: Phase transition, total diffusion, and generalization
Reference 74
- Resolution
- verified exact
- local_arxiv, observed 2026-07-09T21:46:34.600002Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Pith citing papers
No inbound Pith citation observations are available.