Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-01T08:23:32.903141Z
Paper Citation Record · LEDGER
A physics-assisted deep neural network-based closure framework for velocity gradient dynamics in compressible flows with vibrational non-equilibrium
As of 8 August 2026, this Paper Citation Record lists 72 of 72 outbound references and 0 inbound Pith citation observations for arXiv:2607.21152.
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 2026-08-08T06:32:00.761636+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
72 of 72 outbound references displayed
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- unresolved72
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- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 19ac7025-8819-4092-8e29-fd4380e3ffc8 · outbound
This paper cites Annual Review of Fluid Mechanics , volume=.
A physics-assisted deep neural network-based closure framework for velocity gradient dynamics in compressible flows with vibrational non-equilibrium Annual Review of Fluid Mechanics , volume=
Reference 1
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 14d4a534-e7d4-4391-a7bf-120d306b0094 · outbound
This paper cites Journal of Fluid Mechanics , volume=.
A physics-assisted deep neural network-based closure framework for velocity gradient dynamics in compressible flows with vibrational non-equilibrium Journal of Fluid Mechanics , volume=
Reference 2
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 860f9531-45d0-4c1c-a086-1e8a36426582 · outbound
This paper cites Physical Review Letters , volume=.
A physics-assisted deep neural network-based closure framework for velocity gradient dynamics in compressible flows with vibrational non-equilibrium Physical Review Letters , volume=
Reference 3
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T08:23:24.805656Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9c35ebb7-2cc0-41a8-817c-d0f8165cf69a · outbound
This paper cites Journal of Fluid Mechanics , volume=.
A physics-assisted deep neural network-based closure framework for velocity gradient dynamics in compressible flows with vibrational non-equilibrium Journal of Fluid Mechanics , volume=
Reference 4
- Resolution
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- no resolver link, observed 2026-08-01T08:23:24.960288Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 41dd029d-0331-430f-bac7-652cfe10ba51 · outbound
This paper cites Physics of Fluids , volume=.
A physics-assisted deep neural network-based closure framework for velocity gradient dynamics in compressible flows with vibrational non-equilibrium Physics of Fluids , volume=
Reference 5
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T08:23:25.109455Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7df706be-f96e-43d3-b5cc-64ac34f90a3d · outbound
This paper cites Fluid Dynamics Research , volume=.
A physics-assisted deep neural network-based closure framework for velocity gradient dynamics in compressible flows with vibrational non-equilibrium Fluid Dynamics Research , volume=
Reference 6
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c881659e-014c-42de-aeae-41682aaae25b · outbound
This paper cites Physical Review E , volume=.
A physics-assisted deep neural network-based closure framework for velocity gradient dynamics in compressible flows with vibrational non-equilibrium Physical Review E , volume=
Reference 7
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0e81e607-7088-4457-8cc3-5ebe1eca0e1e · outbound
This paper cites Proceedings of the Royal Society of London.
A physics-assisted deep neural network-based closure framework for velocity gradient dynamics in compressible flows with vibrational non-equilibrium Proceedings of the Royal Society of London
Reference 8
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 152a95b1-1a1e-4aac-83a0-0e7bd899099f · outbound
This paper cites Journal of Fluid Mechanics , volume=.
A physics-assisted deep neural network-based closure framework for velocity gradient dynamics in compressible flows with vibrational non-equilibrium Journal of Fluid Mechanics , volume=
Reference 9
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T08:23:25.721770Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0ba6df6b-7aa2-4809-aac8-b0e8d5998e2f · outbound
This paper cites Journal of Fluid Mechanics , volume=.
A physics-assisted deep neural network-based closure framework for velocity gradient dynamics in compressible flows with vibrational non-equilibrium Journal of Fluid Mechanics , volume=
Reference 10
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T08:23:25.869232Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2db47e01-7f2a-44f7-aeff-dbaf3bfe7fae · outbound
This paper cites Physics of Fluids , volume=.
A physics-assisted deep neural network-based closure framework for velocity gradient dynamics in compressible flows with vibrational non-equilibrium Physics of Fluids , volume=
Reference 11
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4a5e9002-983e-48d6-b403-05c1744a7d06 · outbound
This paper cites Nature Physics , volume=.
A physics-assisted deep neural network-based closure framework for velocity gradient dynamics in compressible flows with vibrational non-equilibrium Nature Physics , volume=
Reference 12
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3352e359-cee8-402e-b189-5b4a0f1aa801 · outbound
This paper cites Journal de Physique , volume=.
A physics-assisted deep neural network-based closure framework for velocity gradient dynamics in compressible flows with vibrational non-equilibrium Journal de Physique , volume=
Reference 13
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T08:23:26.200280Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0ca1292c-5fbf-4971-950c-f7e64833be36 · outbound
This paper cites Physics of Fluids A: Fluid Dynamics , volume=.
A physics-assisted deep neural network-based closure framework for velocity gradient dynamics in compressible flows with vibrational non-equilibrium Physics of Fluids A: Fluid Dynamics , volume=
Reference 14
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T08:23:26.388867Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 39a926be-1303-4fb2-ac71-4ea824916945 · outbound
This paper cites Physics of Fluids , volume=.
A physics-assisted deep neural network-based closure framework for velocity gradient dynamics in compressible flows with vibrational non-equilibrium Physics of Fluids , volume=
Reference 15
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 985806b6-8ce5-464a-bf4b-632289be7234 · outbound
This paper cites Theoretical and Computational Fluid Dynamics , volume=.
A physics-assisted deep neural network-based closure framework for velocity gradient dynamics in compressible flows with vibrational non-equilibrium Theoretical and Computational Fluid Dynamics , volume=
Reference 16
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8a2ece7b-28a1-4e0e-959f-67eb96b39b0a · outbound
This paper cites Physical Review Letters , volume=.
A physics-assisted deep neural network-based closure framework for velocity gradient dynamics in compressible flows with vibrational non-equilibrium Physical Review Letters , volume=
Reference 17
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b752af6a-097d-4ff8-8041-962f3553eb30 · outbound
This paper cites Physics of Fluids , volume=.
A physics-assisted deep neural network-based closure framework for velocity gradient dynamics in compressible flows with vibrational non-equilibrium Physics of Fluids , volume=
Reference 18
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 22b9d520-9a8f-4331-a73a-3802cf8a11a0 · outbound
This paper cites Journal of Fluid Mechanics , volume=.
A physics-assisted deep neural network-based closure framework for velocity gradient dynamics in compressible flows with vibrational non-equilibrium Journal of Fluid Mechanics , volume=
Reference 19
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7ebef534-c69b-405a-8562-272e88d34b03 · outbound
This paper cites Progress in Energy and Combustion Science , volume=.
A physics-assisted deep neural network-based closure framework for velocity gradient dynamics in compressible flows with vibrational non-equilibrium Progress in Energy and Combustion Science , volume=
Reference 20
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 831d2e44-115b-47bc-b32d-13ffbfb11724 · outbound
This paper cites Journal of Fluid Mechanics , volume=.
A physics-assisted deep neural network-based closure framework for velocity gradient dynamics in compressible flows with vibrational non-equilibrium Journal of Fluid Mechanics , volume=
Reference 21
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9bf611ac-24b6-42fb-98ee-ee2d3b554f44 · outbound
This paper cites Physics of Fluids A: Fluid Dynamics , volume=.
A physics-assisted deep neural network-based closure framework for velocity gradient dynamics in compressible flows with vibrational non-equilibrium Physics of Fluids A: Fluid Dynamics , volume=
Reference 22
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T08:23:27.523518Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a6a18ba7-ca11-4b7c-8dbb-976ac4e8fbd6 · outbound
This paper cites Physical Review Fluids , volume=.
A physics-assisted deep neural network-based closure framework for velocity gradient dynamics in compressible flows with vibrational non-equilibrium Physical Review Fluids , volume=
Reference 23
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f0cfb224-1951-45f7-8db9-855774f09e7e · outbound
This paper cites Journal of Fluid Mechanics , volume=.
A physics-assisted deep neural network-based closure framework for velocity gradient dynamics in compressible flows with vibrational non-equilibrium Journal of Fluid Mechanics , volume=
Reference 24
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f9658abf-b8c4-4939-ace0-e21f70b5db5c · outbound
This paper cites Journal of Fluid Mechanics , volume=.
A physics-assisted deep neural network-based closure framework for velocity gradient dynamics in compressible flows with vibrational non-equilibrium Journal of Fluid Mechanics , volume=
Reference 25
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation fb7492b5-51a4-48de-b3f6-b2a08c01b4d4 · outbound
This paper cites Physics of Fluids A: Fluid Dynamics , volume=.
A physics-assisted deep neural network-based closure framework for velocity gradient dynamics in compressible flows with vibrational non-equilibrium Physics of Fluids A: Fluid Dynamics , volume=
Reference 26
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T08:23:28.071853Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 35f0f2e1-3850-4233-841f-72358ae80a67 · outbound
This paper cites Physics of fluids , volume=.
A physics-assisted deep neural network-based closure framework for velocity gradient dynamics in compressible flows with vibrational non-equilibrium Physics of fluids , volume=
Reference 27
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3ec47cb7-f993-4f2c-850b-8bf9d2c751af · outbound
This paper cites Physics of Fluids , volume=.
A physics-assisted deep neural network-based closure framework for velocity gradient dynamics in compressible flows with vibrational non-equilibrium Physics of Fluids , volume=
Reference 28
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 86a5a3cd-8440-43d6-b20c-2f710f531a93 · outbound
This paper cites Machine Learning for Fluid Mechanics.
A physics-assisted deep neural network-based closure framework for velocity gradient dynamics in compressible flows with vibrational non-equilibrium Machine Learning for Fluid Mechanics
Reference 29
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T08:23:28.505957Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b1e2a6ec-9fa8-4447-93d1-e9fbf23d4778 · outbound
This paper cites Physical Review Fluids , volume=.
A physics-assisted deep neural network-based closure framework for velocity gradient dynamics in compressible flows with vibrational non-equilibrium Physical Review Fluids , volume=
Reference 30
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 618b319b-254a-4f66-bf79-5621b39d289c · outbound
This paper cites Journal of Fluid Mechanics , volume=.
A physics-assisted deep neural network-based closure framework for velocity gradient dynamics in compressible flows with vibrational non-equilibrium Journal of Fluid Mechanics , volume=
Reference 31
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 226de9b7-eae1-4f4c-83c2-92bd1e195890 · outbound
This paper cites Proceedings of the 2007 ACM/IEEE Conference on Supercomputing , pages=.
A physics-assisted deep neural network-based closure framework for velocity gradient dynamics in compressible flows with vibrational non-equilibrium Proceedings of the 2007 ACM/IEEE Conference on Supercomputing , pages=
Reference 32
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9b4a8cad-0cd9-4e41-ae04-d2456edb1777 · outbound
This paper cites Journal of Turbulence , volume=.
A physics-assisted deep neural network-based closure framework for velocity gradient dynamics in compressible flows with vibrational non-equilibrium Journal of Turbulence , volume=
Reference 33
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a0879ce5-9681-4062-a0a6-7917e5642a15 · outbound
This paper cites Journal of Turbulence , volume=.
A physics-assisted deep neural network-based closure framework for velocity gradient dynamics in compressible flows with vibrational non-equilibrium Journal of Turbulence , volume=
Reference 34
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5b4e00f9-bd7d-4a32-8c74-90d6e5026e90 · outbound
This paper cites Science , volume=.
A physics-assisted deep neural network-based closure framework for velocity gradient dynamics in compressible flows with vibrational non-equilibrium Science , volume=
Reference 35
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a8f8edd5-52b7-4fea-8bc9-c92e0dfeab75 · outbound
This paper cites Physica D: Nonlinear Phenomena , volume=.
A physics-assisted deep neural network-based closure framework for velocity gradient dynamics in compressible flows with vibrational non-equilibrium Physica D: Nonlinear Phenomena , volume=
Reference 36
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d9804d35-5528-4ae1-98e4-2a4ae9dde67a · outbound
This paper cites 2016 , publisher=.
A physics-assisted deep neural network-based closure framework for velocity gradient dynamics in compressible flows with vibrational non-equilibrium 2016 , publisher=
Reference 37
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a0f6e871-c091-4011-82e3-bfbd567aa135 · outbound
This paper cites 2000 , pages=.
Reference 38
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ff4c2d3d-f4a2-439e-ac57-182c7faa5331 · outbound
This paper cites Physical Review E , volume=.
A physics-assisted deep neural network-based closure framework for velocity gradient dynamics in compressible flows with vibrational non-equilibrium Physical Review E , volume=
Reference 39
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 400529b5-aa4f-4d44-aa47-807012179ed0 · outbound
This paper cites Journal of Turbulence , volume=.
A physics-assisted deep neural network-based closure framework for velocity gradient dynamics in compressible flows with vibrational non-equilibrium Journal of Turbulence , volume=
Reference 40
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e9808d7b-9cdf-4f6b-a0b8-4d4df6077378 · outbound
This paper cites 1995 , publisher=.
A physics-assisted deep neural network-based closure framework for velocity gradient dynamics in compressible flows with vibrational non-equilibrium 1995 , publisher=
Reference 41
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 12258ea4-d701-4f10-a321-371a938550e1 · outbound
This paper cites Physics of Fluids , volume=.
A physics-assisted deep neural network-based closure framework for velocity gradient dynamics in compressible flows with vibrational non-equilibrium Physics of Fluids , volume=
Reference 42
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b986af63-b08a-4a90-bd32-41840d60ef47 · outbound
This paper cites Journal of Computational Physics , volume=.
A physics-assisted deep neural network-based closure framework for velocity gradient dynamics in compressible flows with vibrational non-equilibrium Journal of Computational Physics , volume=
Reference 43
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 382b9873-a4c6-40a2-8ac1-f32fc8959169 · outbound
This paper cites The Journal of Machine Learning Research , volume=.
A physics-assisted deep neural network-based closure framework for velocity gradient dynamics in compressible flows with vibrational non-equilibrium The Journal of Machine Learning Research , volume=
Reference 44
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a33c0ac7-8b31-4c0d-98ca-33af8db139a2 · outbound
This paper cites Journal of Computational Physics , volume=.
A physics-assisted deep neural network-based closure framework for velocity gradient dynamics in compressible flows with vibrational non-equilibrium Journal of Computational Physics , volume=
Reference 45
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5aac4ff8-f09f-4f41-86e6-92366982e307 · outbound
This paper cites Advances in Neural Information Processing Systems , volume=.
A physics-assisted deep neural network-based closure framework for velocity gradient dynamics in compressible flows with vibrational non-equilibrium Advances in Neural Information Processing Systems , volume=
Reference 46
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- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 71a1e3fb-dcff-4ae5-bd71-228674e2074f · outbound
This paper cites Physics of Fluids , volume=.
A physics-assisted deep neural network-based closure framework for velocity gradient dynamics in compressible flows with vibrational non-equilibrium Physics of Fluids , volume=
Reference 47
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1b8e5ae8-eab7-47b2-92d3-3dcf5f7ca9e3 · outbound
This paper cites Physics of Fluids , volume=.
A physics-assisted deep neural network-based closure framework for velocity gradient dynamics in compressible flows with vibrational non-equilibrium Physics of Fluids , volume=
Reference 48
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 17179c52-3849-48e1-9b4e-2f760ff40438 · outbound
This paper cites Experimental Thermal and Fluid Science , volume=.
A physics-assisted deep neural network-based closure framework for velocity gradient dynamics in compressible flows with vibrational non-equilibrium Experimental Thermal and Fluid Science , volume=
Reference 49
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6cf56fd6-102b-42cf-bf20-e6383353f615 · outbound
This paper cites Journal of Fluid Mechanics , volume=.
A physics-assisted deep neural network-based closure framework for velocity gradient dynamics in compressible flows with vibrational non-equilibrium Journal of Fluid Mechanics , volume=
Reference 50
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3d389bb2-5faa-4ac8-8bd2-a657189d8013 · outbound
This paper cites Annual Review of Fluid Mechanics , volume=.
A physics-assisted deep neural network-based closure framework for velocity gradient dynamics in compressible flows with vibrational non-equilibrium Annual Review of Fluid Mechanics , volume=
Reference 51
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1063ecd8-23c6-4cf2-b9f7-5b3f2662373b · outbound
This paper cites Journal of Computational Physics , volume=.
A physics-assisted deep neural network-based closure framework for velocity gradient dynamics in compressible flows with vibrational non-equilibrium Journal of Computational Physics , volume=
Reference 52
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 92415a8c-d801-4255-b1d0-977810209aa5 · outbound
This paper cites Physics Reports , volume=.
A physics-assisted deep neural network-based closure framework for velocity gradient dynamics in compressible flows with vibrational non-equilibrium Physics Reports , volume=
Reference 53
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- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c0529a5a-12f6-4f9c-be52-03abcc8509b9 · outbound
This paper cites Physics of Life Reviews , volume=.
A physics-assisted deep neural network-based closure framework for velocity gradient dynamics in compressible flows with vibrational non-equilibrium Physics of Life Reviews , volume=
Reference 54
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 89db60e8-d606-4374-8da1-ceca6cfb6b9c · outbound
This paper cites Physics of Fluids , volume=.
A physics-assisted deep neural network-based closure framework for velocity gradient dynamics in compressible flows with vibrational non-equilibrium Physics of Fluids , volume=
Reference 55
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f780516a-6636-49f3-b022-b955c6b0fa1f · outbound
This paper cites Physics of Fluids , volume=.
A physics-assisted deep neural network-based closure framework for velocity gradient dynamics in compressible flows with vibrational non-equilibrium Physics of Fluids , volume=
Reference 56
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9ee68feb-a61c-4694-9c45-615c953f22fe · outbound
This paper cites Physics of Fluids , volume=.
A physics-assisted deep neural network-based closure framework for velocity gradient dynamics in compressible flows with vibrational non-equilibrium Physics of Fluids , volume=
Reference 57
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation bc4449c7-f0ef-42cf-b1e5-d7d178b1040e · outbound
This paper cites Physics of Fluids , volume=.
A physics-assisted deep neural network-based closure framework for velocity gradient dynamics in compressible flows with vibrational non-equilibrium Physics of Fluids , volume=
Reference 58
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T08:23:31.189426Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a125363f-bd13-48f5-bd9b-4cf881ac794c · outbound
This paper cites Physics of Fluids , volume=.
A physics-assisted deep neural network-based closure framework for velocity gradient dynamics in compressible flows with vibrational non-equilibrium Physics of Fluids , volume=
Reference 59
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T08:23:31.304337Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e1a9915b-fc19-4334-bc81-c2c606ca398d · outbound
This paper cites Journal of Fluid Mechanics , volume=.
A physics-assisted deep neural network-based closure framework for velocity gradient dynamics in compressible flows with vibrational non-equilibrium Journal of Fluid Mechanics , volume=
Reference 60
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T08:23:31.429540Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3097f746-4c83-47fc-b752-b67116e7290b · outbound
This paper cites Theoretical and Computational Fluid Dynamics , volume=.
A physics-assisted deep neural network-based closure framework for velocity gradient dynamics in compressible flows with vibrational non-equilibrium Theoretical and Computational Fluid Dynamics , volume=
Reference 61
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T08:23:31.601633Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2fa6d449-9294-43ff-874d-6ddde46ce684 · outbound
This paper cites Journal of Fluid Mechanics , volume=.
A physics-assisted deep neural network-based closure framework for velocity gradient dynamics in compressible flows with vibrational non-equilibrium Journal of Fluid Mechanics , volume=
Reference 62
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T08:23:31.693819Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation fc93a634-dc4c-4631-a3e9-3af68e33872b · outbound
This paper cites AIAA Journal , volume=.
A physics-assisted deep neural network-based closure framework for velocity gradient dynamics in compressible flows with vibrational non-equilibrium AIAA Journal , volume=
Reference 63
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T08:23:31.832761Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 30729293-885d-4dfb-897d-3ae38feac7c7 · outbound
This paper cites Archive for rational mechanics and analysis , volume=.
A physics-assisted deep neural network-based closure framework for velocity gradient dynamics in compressible flows with vibrational non-equilibrium Archive for rational mechanics and analysis , volume=
Reference 64
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T08:23:32.014964Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3ff347de-bbde-45cd-ab2b-31be833e64ca · outbound
This paper cites Journal of Fluid Mechanics , volume=.
A physics-assisted deep neural network-based closure framework for velocity gradient dynamics in compressible flows with vibrational non-equilibrium Journal of Fluid Mechanics , volume=
Reference 65
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T08:23:32.167374Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 00b05619-be23-4140-b83a-08602b1fb7eb · outbound
This paper cites Journal of Fluid Mechanics , volume=.
A physics-assisted deep neural network-based closure framework for velocity gradient dynamics in compressible flows with vibrational non-equilibrium Journal of Fluid Mechanics , volume=
Reference 66
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T08:23:32.278307Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 846e253e-e76c-49b7-aaad-cc8571fc3efc · outbound
This paper cites 1966 , publisher=.
A physics-assisted deep neural network-based closure framework for velocity gradient dynamics in compressible flows with vibrational non-equilibrium 1966 , publisher=
Reference 67
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T08:23:32.426795Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5b5a88d5-2626-4be9-92b2-1d8bb5be0ea6 · outbound
This paper cites Journal of Fluid Mechanics , volume=.
A physics-assisted deep neural network-based closure framework for velocity gradient dynamics in compressible flows with vibrational non-equilibrium Journal of Fluid Mechanics , volume=
Reference 68
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T08:23:32.532061Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4c31af57-a4e0-4f45-848f-8de47d4ee32c · outbound
This paper cites Physics of Fluids , volume=.
A physics-assisted deep neural network-based closure framework for velocity gradient dynamics in compressible flows with vibrational non-equilibrium Physics of Fluids , volume=
Reference 69
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T08:23:32.628397Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 264f5464-d922-4545-8f7d-33b1fea61d91 · outbound
This paper cites Physics of Fluids A: Fluid Dynamics , volume=.
A physics-assisted deep neural network-based closure framework for velocity gradient dynamics in compressible flows with vibrational non-equilibrium Physics of Fluids A: Fluid Dynamics , volume=
Reference 70
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T08:23:32.719840Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2ae3cc35-fe78-462f-8fb2-72942cda8fe7 · outbound
This paper cites Physical Review Fluids , volume=.
A physics-assisted deep neural network-based closure framework for velocity gradient dynamics in compressible flows with vibrational non-equilibrium Physical Review Fluids , volume=
Reference 71
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T08:23:32.829452Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8663a667-e433-4ec8-af95-30dc0c416c5d · outbound
This paper cites Annual Review of Fluid Mechanics , volume=.
A physics-assisted deep neural network-based closure framework for velocity gradient dynamics in compressible flows with vibrational non-equilibrium Annual Review of Fluid Mechanics , volume=
Reference 72
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- no resolver link, observed 2026-08-01T08:23:32.903141Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Pith citing papers
No inbound Pith citation observations are available.