Paper Citation Record · LEDGER

Deep Learning-based Algebraic Reynolds Stress Closures for RANS Simulations of Turbulent Flows

As of 22 August 2026, this Paper Citation Record lists 50 of 50 outbound references and 0 inbound Pith citation observations for arXiv:2605.26358.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2605.26358 v2

Coverage vector

measured 50 of 50 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-29T20:08:38.863707Z

measured 50 of 50 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

50 of 50 outbound references displayed

verified exact11
verified fuzzy0
unresolved38
parse uncertain0
malformed identifier0
metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 0c5e4ddb-9b75-495d-b77b-e27b6190f05f · outbound

This paper cites A probabilistic, data-driven closure model for RANS simulations with aleatoric, model uncertainty.

Deep Learning-based Algebraic Reynolds Stress Closures for RANS Simulations of Turbulent Flows A probabilistic, data-driven closure model for RANS simulations with aleatoric, model uncertainty

Reference 1

Resolution: unresolved; no resolver link, observed 2026-06-29T20:08:38.863707Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a9094bc7-1bb0-4eab-83c3-39fb5f44c421 · outbound

This paper cites Albring, Max Sagebaum, and Nicolas R.

Deep Learning-based Algebraic Reynolds Stress Closures for RANS Simulations of Turbulent Flows Albring, Max Sagebaum, and Nicolas R

Reference 2

Resolution: unresolved; no resolver link, observed 2026-06-29T20:08:38.863707Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 00bb5db6-22b3-4da9-8908-096a5317a483 · outbound

This paper cites Breuer, N.

Deep Learning-based Algebraic Reynolds Stress Closures for RANS Simulations of Turbulent Flows Breuer, N

Reference 3

Resolution: unresolved; no resolver link, observed 2026-06-29T20:08:38.863707Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8884bd24-f9ca-422e-8114-3aa34f1b8776 · outbound

This paper cites an unresolved cited work.

Deep Learning-based Algebraic Reynolds Stress Closures for RANS Simulations of Turbulent Flows Unresolved cited work

Reference 4

Resolution: verified exact; doi, observed 2026-06-29T20:13:58.691672Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 8a2f890e-f768-4373-942c-eb7c1752d466 · outbound

This paper cites MacArt, and Justin Sirignano.

Deep Learning-based Algebraic Reynolds Stress Closures for RANS Simulations of Turbulent Flows MacArt, and Justin Sirignano

Reference 5

Resolution: verified exact; arxiv_id, observed 2026-07-01T16:55:50.556509Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 55c71787-bd4e-4389-823c-20e367e0a254 · outbound

This paper cites Turbulence modeling in the age of data.

Deep Learning-based Algebraic Reynolds Stress Closures for RANS Simulations of Turbulent Flows Turbulence modeling in the age of data

Reference 6

Resolution: unresolved; no resolver link, observed 2026-06-29T20:08:38.863707Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c717c597-762a-41fc-9f55-cfd5800be554 · outbound

This paper cites an unresolved cited work.

Deep Learning-based Algebraic Reynolds Stress Closures for RANS Simulations of Turbulent Flows Unresolved cited work

Reference 7

Resolution: unresolved; no resolver link, observed 2026-06-29T20:08:38.863707Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0f833474-e4e0-426b-afc4-7a5cd7d43a16 · outbound

This paper cites Ferziger and Milovan Peri \'c.

Deep Learning-based Algebraic Reynolds Stress Closures for RANS Simulations of Turbulent Flows Ferziger and Milovan Peri \'c

Reference 8

Resolution: unresolved; no resolver link, observed 2026-06-29T20:08:38.863707Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e09c4b61-e2c6-4ad2-91e1-818b07fa5eb2 · outbound

This paper cites A posteriori learning for quasi-geostrophic turbulence parametrization.

Deep Learning-based Algebraic Reynolds Stress Closures for RANS Simulations of Turbulent Flows A posteriori learning for quasi-geostrophic turbulence parametrization

Reference 9

Resolution: unresolved; no resolver link, observed 2026-06-29T20:08:38.863707Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a9d3a146-f38e-47c4-84ad-b603d6229f41 · outbound

This paper cites An introduction to the adjoint approach to design.

Deep Learning-based Algebraic Reynolds Stress Closures for RANS Simulations of Turbulent Flows An introduction to the adjoint approach to design

Reference 10

Resolution: unresolved; no resolver link, observed 2026-06-29T20:08:38.863707Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6bd6adb2-dbc2-488c-ae67-1c05eab78218 · outbound

This paper cites Learning to control PDE s with differentiable physics.

Deep Learning-based Algebraic Reynolds Stress Closures for RANS Simulations of Turbulent Flows Learning to control PDE s with differentiable physics

Reference 11

Resolution: unresolved; no resolver link, observed 2026-06-29T20:08:38.863707Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0fcea280-0234-4d89-a1f4-09de08806533 · outbound

This paper cites Holland, James D.

Deep Learning-based Algebraic Reynolds Stress Closures for RANS Simulations of Turbulent Flows Holland, James D

Reference 12

Resolution: unresolved; no resolver link, observed 2026-06-29T20:08:38.863707Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5e3ed5be-9862-4f9f-b24f-e611e8bf36a7 · outbound

This paper cites Aerodynamic design via control theory.

Deep Learning-based Algebraic Reynolds Stress Closures for RANS Simulations of Turbulent Flows Aerodynamic design via control theory

Reference 13

Resolution: unresolved; no resolver link, observed 2026-06-29T20:08:38.863707Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 335cd170-843a-46a8-a0c1-c84f5d8cffdb · outbound

This paper cites Stiff-PINN : Physics-informed neural network for stiff chemical kinetics.

Deep Learning-based Algebraic Reynolds Stress Closures for RANS Simulations of Turbulent Flows Stiff-PINN : Physics-informed neural network for stiff chemical kinetics

Reference 14

Resolution: unresolved; no resolver link, observed 2026-06-29T20:08:38.863707Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 17480328-cc7d-408c-8a2e-fe0b6ff8f12b · outbound

This paper cites Neural network-augmented eddy viscosity closures for turbulent premixed jet flames.

Deep Learning-based Algebraic Reynolds Stress Closures for RANS Simulations of Turbulent Flows Neural network-augmented eddy viscosity closures for turbulent premixed jet flames

Reference 15

Resolution: unresolved; no resolver link, observed 2026-06-29T20:08:38.863707Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5247cc08-f668-458b-aee5-c00fded406e8 · outbound

This paper cites Adam: A method for stochastic optimization.

Deep Learning-based Algebraic Reynolds Stress Closures for RANS Simulations of Turbulent Flows Adam: A method for stochastic optimization

Reference 16

Resolution: unresolved; no resolver link, observed 2026-06-29T20:08:38.863707Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c7e70abf-e5d5-4976-95dd-dd06ccffc395 · outbound

This paper cites Machine learning--accelerated computational fluid dynamics.

Deep Learning-based Algebraic Reynolds Stress Closures for RANS Simulations of Turbulent Flows Machine learning--accelerated computational fluid dynamics

Reference 17

Resolution: unresolved; no resolver link, observed 2026-06-29T20:08:38.863707Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5656eeff-72a1-4301-a8f9-3bb4c019d891 · outbound

This paper cites Krishnapriyan, Amir Gholami, Shandian Zhe, Robert Kirby, and Michael W.

Deep Learning-based Algebraic Reynolds Stress Closures for RANS Simulations of Turbulent Flows Krishnapriyan, Amir Gholami, Shandian Zhe, Robert Kirby, and Michael W

Reference 18

Resolution: unresolved; no resolver link, observed 2026-06-29T20:08:38.863707Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8ca89488-e0df-4633-8180-a80b6ca096dd · outbound

This paper cites Hermann Lienhart and Stefan Becker.

Deep Learning-based Algebraic Reynolds Stress Closures for RANS Simulations of Turbulent Flows Hermann Lienhart and Stefan Becker

Reference 19

Resolution: verified exact; doi, observed 2026-06-29T20:13:58.693442Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation b01b1833-5b34-43d6-a742-b22dc093b222 · outbound

This paper cites Fourier neural operator for parametric partial differential equations.

Deep Learning-based Algebraic Reynolds Stress Closures for RANS Simulations of Turbulent Flows Fourier neural operator for parametric partial differential equations

Reference 20

Resolution: unresolved; no resolver link, observed 2026-06-29T20:08:38.863707Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 551911d2-7b20-4ce0-8243-518882749eef · outbound

This paper cites Reynolds averaged turbulence modelling using deep neural networks with embedded invariance.

Deep Learning-based Algebraic Reynolds Stress Closures for RANS Simulations of Turbulent Flows Reynolds averaged turbulence modelling using deep neural networks with embedded invariance

Reference 21

Resolution: unresolved; no resolver link, observed 2026-06-29T20:08:38.863707Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8d0b10e9-1944-463c-876d-67c08405513e · outbound

This paper cites Learned turbulence modelling with differentiable fluid solvers: physics-based loss functions and optimisation horizons.

Deep Learning-based Algebraic Reynolds Stress Closures for RANS Simulations of Turbulent Flows Learned turbulence modelling with differentiable fluid solvers: physics-based loss functions and optimisation horizons

Reference 22

Resolution: verified exact; doi, observed 2026-06-29T20:13:58.678778Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 0b3fca18-9951-4808-87e1-9126d3e212df · outbound

This paper cites Learning nonlinear operators via DeepONet based on the universal approximation theorem of operators.

Deep Learning-based Algebraic Reynolds Stress Closures for RANS Simulations of Turbulent Flows Learning nonlinear operators via DeepONet based on the universal approximation theorem of operators

Reference 23

Resolution: unresolved; no resolver link, observed 2026-06-29T20:08:38.863707Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e674f375-2ce9-4cb5-90d9-53e985410525 · outbound

This paper cites Warp: A python framework for high-performance GPU simulation and graphics, 2022.

Deep Learning-based Algebraic Reynolds Stress Closures for RANS Simulations of Turbulent Flows Warp: A python framework for high-performance GPU simulation and graphics, 2022

Reference 24

Resolution: unresolved; no resolver link, observed 2026-06-29T20:08:38.863707Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bcf9bab9-98fc-4e69-9161-c8e8230b89d1 · outbound

This paper cites an unresolved cited work.

Deep Learning-based Algebraic Reynolds Stress Closures for RANS Simulations of Turbulent Flows Unresolved cited work

Reference 25

Resolution: verified exact; arxiv_id, observed 2026-06-29T20:13:58.682954Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation a5073362-572b-453d-ac02-879254c0b724 · outbound

This paper cites an unresolved cited work.

Deep Learning-based Algebraic Reynolds Stress Closures for RANS Simulations of Turbulent Flows Unresolved cited work

Reference 26

Resolution: unresolved; no resolver link, observed 2026-06-29T20:08:38.863707Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0cfce551-c00d-4d80-8e5f-6696a6956fe5 · outbound

This paper cites Automating turbulence modelling by multi-agent reinforcement learning.

Deep Learning-based Algebraic Reynolds Stress Closures for RANS Simulations of Turbulent Flows Automating turbulence modelling by multi-agent reinforcement learning

Reference 27

Resolution: verified exact; doi, observed 2026-06-29T20:13:58.680545Z

Source-reported events for the cited work

correction dated 2021-01-07. Source: crossref record 10.1038/s42256-021-00293-3->10.1038/s42256-020-00272-0:correction, observed 2026-07-11T03:04:26.881369+00:00. This notice travels one citation hop only.

correction dated 2021-01-15. Source: crossref record 10.1038/s42256-021-00295-1->10.1038/s42256-020-00272-0:correction, observed 2026-07-11T03:02:06.745515+00:00. This notice travels one citation hop only.

Observation c2041248-559c-4080-8486-f12ef5cc1f24 · outbound

This paper cites A paradigm for data-driven predictive modeling using field inversion and machine learning.

Deep Learning-based Algebraic Reynolds Stress Closures for RANS Simulations of Turbulent Flows A paradigm for data-driven predictive modeling using field inversion and machine learning

Reference 28

Resolution: unresolved; no resolver link, observed 2026-06-29T20:08:38.863707Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d569d51b-b8f8-4c89-977f-2d2cb1d113ff · outbound

This paper cites Turbulence and secondary motions in square duct flow.

Deep Learning-based Algebraic Reynolds Stress Closures for RANS Simulations of Turbulent Flows Turbulence and secondary motions in square duct flow

Reference 29

Resolution: unresolved; no resolver link, observed 2026-06-29T20:08:38.863707Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b52a807e-b449-4914-ae2a-60a6aad42a8f · outbound

This paper cites an unresolved cited work.

Deep Learning-based Algebraic Reynolds Stress Closures for RANS Simulations of Turbulent Flows Unresolved cited work

Reference 30

Resolution: unresolved; no resolver link, observed 2026-06-29T20:08:38.863707Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4ada18fb-6e8f-4f21-9071-73c32544a1b3 · outbound

This paper cites Pope.Turbulent Flows.

Deep Learning-based Algebraic Reynolds Stress Closures for RANS Simulations of Turbulent Flows Pope.Turbulent Flows

Reference 31

Resolution: verified exact; doi, observed 2026-06-29T20:13:58.695124Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation c8f83bb4-1769-43db-a8dd-b1cef36112d9 · outbound

This paper cites Physics-informed neural networks: A deep learning framework for solving forward and inverse problems involving nonlinear partial differential equations.

Deep Learning-based Algebraic Reynolds Stress Closures for RANS Simulations of Turbulent Flows Physics-informed neural networks: A deep learning framework for solving forward and inverse problems involving nonlinear partial differential equations

Reference 32

Resolution: unresolved; no resolver link, observed 2026-06-29T20:08:38.863707Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d290dfd2-71dd-49d3-8d76-ca003484a329 · outbound

This paper cites Global convergence of adjoint-optimized neural pdes.

Deep Learning-based Algebraic Reynolds Stress Closures for RANS Simulations of Turbulent Flows Global convergence of adjoint-optimized neural pdes

Reference 33

Resolution: unresolved; no resolver link, observed 2026-06-29T20:08:38.863707Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 77ecc3b0-d803-4ead-bb39-4f87cd7bc35a · outbound

This paper cites an unresolved cited work.

Deep Learning-based Algebraic Reynolds Stress Closures for RANS Simulations of Turbulent Flows Unresolved cited work

Reference 34

Resolution: unresolved; no resolver link, observed 2026-06-29T20:08:38.863707Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2528fd32-aa39-4a1a-9ed1-b5d19d216ae8 · outbound

This paper cites an unresolved cited work.

Deep Learning-based Algebraic Reynolds Stress Closures for RANS Simulations of Turbulent Flows Unresolved cited work

Reference 35

Resolution: verified exact; doi, observed 2026-06-29T20:13:58.690055Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 8c049b52-95e6-4746-923d-320570ec26d2 · outbound

This paper cites Iterative Methods for Sparse Linear Systems.

Deep Learning-based Algebraic Reynolds Stress Closures for RANS Simulations of Turbulent Flows Iterative Methods for Sparse Linear Systems

Reference 36

Resolution: unresolved; no resolver link, observed 2026-06-29T20:08:38.863707Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d7ecde97-d6aa-40f7-94b3-8641d2405b8e · outbound

This paper cites Sanderse, P.

Deep Learning-based Algebraic Reynolds Stress Closures for RANS Simulations of Turbulent Flows Sanderse, P

Reference 37

Resolution: verified exact; doi, observed 2026-06-29T20:13:58.688366Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 2dbe46be-4d2a-40ad-8b7f-935237a2fab2 · outbound

This paper cites Dwight, and Paola Cinnella.

Deep Learning-based Algebraic Reynolds Stress Closures for RANS Simulations of Turbulent Flows Dwight, and Paola Cinnella

Reference 38

Resolution: verified exact; doi, observed 2026-06-29T20:13:58.684582Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 7e481775-db8a-4b33-ad5f-1cf36494f064 · outbound

This paper cites Differentiable Turbulence: Closure as a partial differential equation constrained optimization.

Deep Learning-based Algebraic Reynolds Stress Closures for RANS Simulations of Turbulent Flows Differentiable Turbulence: Closure as a partial differential equation constrained optimization

Reference 39

Resolution: verified exact; arxiv_id, observed 2026-07-01T16:55:50.575802Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 975a8fcd-115c-41e5-a527-87f60a530f13 · outbound

This paper cites DPM : A deep learning pde augmentation method with application to large-eddy simulation.

Deep Learning-based Algebraic Reynolds Stress Closures for RANS Simulations of Turbulent Flows DPM : A deep learning pde augmentation method with application to large-eddy simulation

Reference 40

Resolution: unresolved; no resolver link, observed 2026-06-29T20:08:38.863707Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7fea8ab9-c057-4321-9dca-bd555070d5e7 · outbound

This paper cites MacArt, and Konstantinos Spiliopoulos.

Deep Learning-based Algebraic Reynolds Stress Closures for RANS Simulations of Turbulent Flows MacArt, and Konstantinos Spiliopoulos

Reference 41

Resolution: unresolved; no resolver link, observed 2026-06-29T20:08:38.863707Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 05ad970c-8e6b-45cf-b3f9-84e6e6b1b801 · outbound

This paper cites Michel \'e n Str \"o fer and Heng Xiao.

Deep Learning-based Algebraic Reynolds Stress Closures for RANS Simulations of Turbulent Flows Michel \'e n Str \"o fer and Heng Xiao

Reference 42

Resolution: unresolved; no resolver link, observed 2026-06-29T20:08:38.863707Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b044f448-f330-430b-88cd-31d0c232df77 · outbound

This paper cites Solver-in-the-loop: Learning from differentiable physics to interact with iterative PDE -solvers.

Deep Learning-based Algebraic Reynolds Stress Closures for RANS Simulations of Turbulent Flows Solver-in-the-loop: Learning from differentiable physics to interact with iterative PDE -solvers

Reference 43

Resolution: unresolved; no resolver link, observed 2026-06-29T20:08:38.863707Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d2490be9-0ece-413f-bc7d-60be23316c80 · outbound

This paper cites Vinuesa, P.

Deep Learning-based Algebraic Reynolds Stress Closures for RANS Simulations of Turbulent Flows Vinuesa, P

Reference 44

Resolution: unresolved; no resolver link, observed 2026-06-29T20:08:38.863707Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e14ec370-cba1-4f02-9a94-833df9806664 · outbound

This paper cites An explicit algebraic Reynolds stress model for incompressible and compressible turbulent flows.

Deep Learning-based Algebraic Reynolds Stress Closures for RANS Simulations of Turbulent Flows An explicit algebraic Reynolds stress model for incompressible and compressible turbulent flows

Reference 45

Resolution: unresolved; no resolver link, observed 2026-06-29T20:08:38.863707Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d678c8d4-79b2-425a-b8b7-653bf25aa6e3 · outbound

This paper cites When and why PINNs fail to train: A neural tangent kernel perspective.

Deep Learning-based Algebraic Reynolds Stress Closures for RANS Simulations of Turbulent Flows When and why PINNs fail to train: A neural tangent kernel perspective

Reference 46

Resolution: unresolved; no resolver link, observed 2026-06-29T20:08:38.863707Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8d9c14f9-d915-4f67-8769-a497d4824047 · outbound

This paper cites Weatheritt and R.D.

Deep Learning-based Algebraic Reynolds Stress Closures for RANS Simulations of Turbulent Flows Weatheritt and R.D

Reference 47

Resolution: unresolved; no resolver link, observed 2026-06-29T20:08:38.863707Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e5751872-2f7b-4ec0-bd5d-a2d7fe850614 · outbound

This paper cites Reassessment of the scale-determining equation for advanced turbulence models.

Deep Learning-based Algebraic Reynolds Stress Closures for RANS Simulations of Turbulent Flows Reassessment of the scale-determining equation for advanced turbulence models

Reference 48

Resolution: unresolved; no resolver link, observed 2026-06-29T20:08:38.863707Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bf5508a4-4324-4db1-976d-56ab3bef681b · outbound

This paper cites Journal of Fluid Mechanics 869, 553–586.

Deep Learning-based Algebraic Reynolds Stress Closures for RANS Simulations of Turbulent Flows Journal of Fluid Mechanics 869, 553–586

Reference 49

Resolution: metadata mismatch; doi, observed 2026-06-29T20:13:58.686559Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 4c563128-4866-4ee4-a67b-1709efe7b611 · outbound

This paper cites Flows over periodic hills of parameterized geometries: A dataset for data-driven turbulence modeling from direct simulations.

Deep Learning-based Algebraic Reynolds Stress Closures for RANS Simulations of Turbulent Flows Flows over periodic hills of parameterized geometries: A dataset for data-driven turbulence modeling from direct simulations

Reference 50

Resolution: unresolved; no resolver link, observed 2026-06-29T20:08:38.863707Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.