Skin friction prediction for attached flows based on two-dimensional inviscid solutions | Paper Citation Record

Observation a9cce89b-1cca-4268-aa2f-c44870afd728 · outbound

This paper cites McGraw hill.

Skin friction prediction for attached flows based on two-dimensional inviscid solutions McGraw hill

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T16:26:20.913413Z

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Observation 51d4dc97-3128-41ac-9962-2da96e5cac6a · outbound

This paper cites Airfoil drag at low-to-medium reynolds numbers: A novel estimation method.AIAA journal, 58(7):2791–2805, 2020.

Skin friction prediction for attached flows based on two-dimensional inviscid solutions Airfoil drag at low-to-medium reynolds numbers: A novel estimation method.AIAA journal, 58(7):2791–2805, 2020

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T16:26:20.868533Z

Source-reported events for the cited work

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Observation 3cf8e9fa-a32a-4b08-b20b-ef7512f241d2 · outbound

This paper cites Free-flight measurements of turbulent-boundary-layer skin friction in the presence of severe aerodynamic heating at mach numbers from 2.8 to 7.0.

Skin friction prediction for attached flows based on two-dimensional inviscid solutions Free-flight measurements of turbulent-boundary-layer skin friction in the presence of severe aerodynamic heating at mach numbers from 2.8 to 7.0

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T16:26:20.845282Z

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation a27b56e9-61da-436e-b463-b49db3e457ab · outbound

This paper cites Springer, 1961.

Skin friction prediction for attached flows based on two-dimensional inviscid solutions Springer, 1961

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T16:26:20.875053Z

Source-reported events for the cited work

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Observation 77cb927c-d90b-4edc-bc2e-790b43315a57 · outbound

This paper cites Compressible turbulent boundary layer with pressure gradient and heat transfer.AIAA Journal, 4(1):19–25, 1966.

Skin friction prediction for attached flows based on two-dimensional inviscid solutions Compressible turbulent boundary layer with pressure gradient and heat transfer.AIAA Journal, 4(1):19–25, 1966

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T16:26:20.842485Z

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 3f062479-006d-41d4-826d-1dae6f68878f · outbound

This paper cites Engineering calculation method for boundary layer parameters of compressible flows.Chinese Journal of Theoretical and Applied Mechanics, 16(2):120–128, 1980.

Skin friction prediction for attached flows based on two-dimensional inviscid solutions Engineering calculation method for boundary layer parameters of compressible flows.Chinese Journal of Theoretical and Applied Mechanics, 16(2):120–128, 1980

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T16:26:20.835181Z

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation b040ff2c-c29a-4f57-b5af-7ff1eda3a2b6 · outbound

This paper cites Precise drag prediction of airfoil flows by a new algebraic model.

Skin friction prediction for attached flows based on two-dimensional inviscid solutions Precise drag prediction of airfoil flows by a new algebraic model

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T16:26:20.849938Z

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Observation 0c718fef-0d79-4bd3-8a7e-59148b20359a · outbound

This paper cites On skin friction in wall-bounded turbulence.Acta Mechanica Sinica, 37(4):589–598, 2021.

Skin friction prediction for attached flows based on two-dimensional inviscid solutions On skin friction in wall-bounded turbulence.Acta Mechanica Sinica, 37(4):589–598, 2021

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T16:26:20.876805Z

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Observation dcf31465-b1f6-44c2-98d1-f46c82f331a6 · outbound

This paper cites Reconstructing self-similarity for improving wall skin-friction prediction under adverse pressure gradients.Journal of Fluid Mechanics, 1034:A31, 2026.

Skin friction prediction for attached flows based on two-dimensional inviscid solutions Reconstructing self-similarity for improving wall skin-friction prediction under adverse pressure gradients.Journal of Fluid Mechanics, 1034:A31, 2026

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T16:26:20.891062Z

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 64ddc8b1-bfa6-4147-bfd9-180464fd6613 · outbound

This paper cites Revisitingthetheoryofvandriest: ageneralscalinglawfortheskin-friction coefficient of high-speed turbulent boundary layers.Journal of Fluid Mechanics, 1012:R3, 2025.

Skin friction prediction for attached flows based on two-dimensional inviscid solutions Revisitingthetheoryofvandriest: ageneralscalinglawfortheskin-friction coefficient of high-speed turbulent boundary layers.Journal of Fluid Mechanics, 1012:R3, 2025

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T16:26:20.872864Z

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 42df0951-0441-402e-84e5-660f5da6c088 · outbound

This paper cites Generalisationoftheprandtlrelationfortheskin-frictionlawtocompressible turbulent channel and pipe flows.Journal of Fluid Mechanics, 1032:A72, 2026.

Skin friction prediction for attached flows based on two-dimensional inviscid solutions Generalisationoftheprandtlrelationfortheskin-frictionlawtocompressible turbulent channel and pipe flows.Journal of Fluid Mechanics, 1032:A72, 2026

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T16:26:20.877191Z

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 b0d8368a-ded7-4082-a895-4a69a430d0ef · outbound

This paper cites Numerical evaluation of airfoil friction drag.Journal of aircraft, 37(2):354–356, 2000.

Skin friction prediction for attached flows based on two-dimensional inviscid solutions Numerical evaluation of airfoil friction drag.Journal of aircraft, 37(2):354–356, 2000

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T16:26:20.808786Z

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 4f4bcce6-f8fe-4d63-a1d5-fcf9ed1dab26 · outbound

This paper cites A coupled inviscid–viscous airfoil analysis solver, revisited.AIAA Journal, 60(5):2961–2971, 2022.

Skin friction prediction for attached flows based on two-dimensional inviscid solutions A coupled inviscid–viscous airfoil analysis solver, revisited.AIAA Journal, 60(5):2961–2971, 2022

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T16:26:20.911485Z

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 e07c01c6-3ea4-492f-a913-38ba0ad75560 · outbound

This paper cites Transonic airfoil analysis based on the interaction of euler and integral boundary-layer equation.Acta Aeronautica et Astronautica Sinica, 12(5):221–227, 1991.

Skin friction prediction for attached flows based on two-dimensional inviscid solutions Transonic airfoil analysis based on the interaction of euler and integral boundary-layer equation.Acta Aeronautica et Astronautica Sinica, 12(5):221–227, 1991

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T16:26:20.828733Z

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 99ffb25b-7c14-4354-9019-08a3e3710410 · outbound

This paper cites Numerical simulation of three-dimensional supersonic flows using euler and boundary layer solvers.

Skin friction prediction for attached flows based on two-dimensional inviscid solutions Numerical simulation of three-dimensional supersonic flows using euler and boundary layer solvers

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T16:26:20.861774Z

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 07c2d042-7ad8-483e-8b13-92e1a683d240 · outbound

This paper cites Machine learning for fluid mechanics.

Skin friction prediction for attached flows based on two-dimensional inviscid solutions Machine learning for fluid mechanics

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T16:26:20.862540Z

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Observation 163e8e6a-cb94-46c2-a634-467febc4ca47 · outbound

This paper cites Some research progress and prospect of intelligent aerodynamics.Acta Aerodynamica Sinica, 41(7):1–35, 2023.

Skin friction prediction for attached flows based on two-dimensional inviscid solutions Some research progress and prospect of intelligent aerodynamics.Acta Aerodynamica Sinica, 41(7):1–35, 2023

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T16:26:20.870577Z

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 9cf57a6a-b6d4-4895-851f-32c5458f1c53 · outbound

This paper cites Ascientometricinvestigationofartificialintelligence for fluid mechanics: Emerging topics and active groups.Progress in Aerospace Sciences, 157: 101130, 2025.

Skin friction prediction for attached flows based on two-dimensional inviscid solutions Ascientometricinvestigationofartificialintelligence for fluid mechanics: Emerging topics and active groups.Progress in Aerospace Sciences, 157: 101130, 2025

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T16:26:20.879677Z

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 c418df70-0437-4992-bd1c-c7fc6f235f12 · outbound

This paper cites Envisioning the blueprint: Aeronautics in large models era.Chinese Journal of Aeronautics, 38(8), 2025.

Skin friction prediction for attached flows based on two-dimensional inviscid solutions Envisioning the blueprint: Aeronautics in large models era.Chinese Journal of Aeronautics, 38(8), 2025

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T16:26:20.834389Z

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 5e50eade-f802-47fe-9bc1-9fdb12312357 · outbound

This paper cites Fast flow field prediction over airfoils using deep learning approach.Physics of Fluids, 31(5), 2019.

Skin friction prediction for attached flows based on two-dimensional inviscid solutions Fast flow field prediction over airfoils using deep learning approach.Physics of Fluids, 31(5), 2019

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T16:26:20.889087Z

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Observation d3eb4346-dcfe-4898-8891-d59bab83ac33 · outbound

This paper cites Goal-orientedfeatureextraction: A novel approach to enhance data-driven surrogate models.AIAA journal, 64(1):303–317, 2026.

Skin friction prediction for attached flows based on two-dimensional inviscid solutions Goal-orientedfeatureextraction: A novel approach to enhance data-driven surrogate models.AIAA journal, 64(1):303–317, 2026

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T16:26:20.816301Z

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 43ac325e-d75a-47a3-b7cd-4a05458b4685 · outbound

This paper cites Fast pressure distribution prediction of airfoils using deep learning.Aerospace Science and Technology, 105:105949, 2020.

Skin friction prediction for attached flows based on two-dimensional inviscid solutions Fast pressure distribution prediction of airfoils using deep learning.Aerospace Science and Technology, 105:105949, 2020

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T16:26:20.896846Z

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 27ff1983-96f2-4673-a84a-aeeb1016ef3c · outbound

This paper cites A deep learning framework for aerodynamic pressure prediction on general three-dimensional configurations.Physics of Fluids, 35(10), 2023.

Skin friction prediction for attached flows based on two-dimensional inviscid solutions A deep learning framework for aerodynamic pressure prediction on general three-dimensional configurations.Physics of Fluids, 35(10), 2023

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T16:26:20.823765Z

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 ffc17091-f4a6-4ff9-8510-e7701678a862 · outbound

This paper cites Physics-informed machine learning.Nature Reviews Physics, 3(6):422–440.

Skin friction prediction for attached flows based on two-dimensional inviscid solutions Physics-informed machine learning.Nature Reviews Physics, 3(6):422–440

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T16:26:20.894843Z

Source-reported events for the cited work

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Observation 980286e1-c0d3-4966-9670-61886ddcaae0 · outbound

This paper cites Unsteady reduced order model with neural networks and flight-physics-based regularization for aerodynamic applications.Computers & Fluids, 264:105949, 2023.

Skin friction prediction for attached flows based on two-dimensional inviscid solutions Unsteady reduced order model with neural networks and flight-physics-based regularization for aerodynamic applications.Computers & Fluids, 264:105949, 2023

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T16:26:20.830500Z

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 e14eb90f-2c15-4d37-bf00-4dbd81f9b3d5 · outbound

This paper cites Machine learning of skin friction distribution based on surface inviscid flow feature.Chinese Journal of Theoretical and Applied Mechanics, 56(8):2243–2258, 2024.

Skin friction prediction for attached flows based on two-dimensional inviscid solutions Machine learning of skin friction distribution based on surface inviscid flow feature.Chinese Journal of Theoretical and Applied Mechanics, 56(8):2243–2258, 2024

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T16:26:20.812006Z

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 41ad4c15-bf9b-44ab-8a5a-daf3d16067f9 · outbound

This paper cites Eulerequationembeddedmachinelearningmethodforwallpressure and skin friction distribution.Engineering Applications of Computational Fluid Mechanics, 19(1): 2556450, 2025.

Skin friction prediction for attached flows based on two-dimensional inviscid solutions Eulerequationembeddedmachinelearningmethodforwallpressure and skin friction distribution.Engineering Applications of Computational Fluid Mechanics, 19(1): 2556450, 2025

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T16:26:20.846378Z

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 fb012397-06eb-4042-96ca-7f53249569d2 · outbound

This paper cites Ed-resnet: Euler equation embedding double-series residual neural network for aerothermal modeling.AIAA Journal, 63(1):134–147, 2025.

Skin friction prediction for attached flows based on two-dimensional inviscid solutions Ed-resnet: Euler equation embedding double-series residual neural network for aerothermal modeling.AIAA Journal, 63(1):134–147, 2025

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T16:26:20.909221Z

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 232e9fc2-b006-4beb-89ed-99b681a64480 · outbound

This paper cites Interpretable Machine Learning for Science with PySR and SymbolicRegression.jl.

Skin friction prediction for attached flows based on two-dimensional inviscid solutions Interpretable Machine Learning for Science with PySR and SymbolicRegression.jl

Reference 29

Resolution: verified exact; local_arxiv, observed 2026-07-09T16:26:20.726274Z

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 22fbd374-58ea-4733-80c0-2cdfa814a663 · outbound

This paper cites Ai feynman: A physics-inspired method for symbolic regression.Science advances, 6(16):eaay2631, 2020.

Skin friction prediction for attached flows based on two-dimensional inviscid solutions Ai feynman: A physics-inspired method for symbolic regression.Science advances, 6(16):eaay2631, 2020

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T16:26:20.830750Z

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 69c19e66-527f-4978-93fc-5c8de1667c6e · outbound

This paper cites an unresolved cited work.

Skin friction prediction for attached flows based on two-dimensional inviscid solutions Unresolved cited work

Reference 31

Resolution: unresolved; raw_fallback, observed 2026-07-09T16:26:20.858616Z

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 03964ff2-e25b-4a46-a659-b06818896c4f · outbound

This paper cites Artificial intelligence in physical sciences: Symbolic regression trends and perspectives: D.

Skin friction prediction for attached flows based on two-dimensional inviscid solutions Artificial intelligence in physical sciences: Symbolic regression trends and perspectives: D

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Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T16:26:20.847179Z

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 61df58af-244e-4b78-818c-9e1d085c9d40 · outbound

This paper cites Distilling free-form natural laws from experimental data.science, 324(5923):81–85, 2009.

Skin friction prediction for attached flows based on two-dimensional inviscid solutions Distilling free-form natural laws from experimental data.science, 324(5923):81–85, 2009

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T16:26:20.815026Z

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 e312b1c8-7e77-4ae5-ad82-8475161b6f2d · outbound

This paper cites Data-driven discovery of physical laws.Cognitive Science, 5(1):31–54, 1981.

Skin friction prediction for attached flows based on two-dimensional inviscid solutions Data-driven discovery of physical laws.Cognitive Science, 5(1):31–54, 1981

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Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T16:26:20.851747Z

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 eb7f9263-400a-4817-a2f9-53764713b28e · outbound

This paper cites Harnessingdatausingsymbolicregressionmethodsfordiscovering novel paradigms in physics.Science China Physics, Mechanics & Astronomy, 67(6):267301, 2024.

Skin friction prediction for attached flows based on two-dimensional inviscid solutions Harnessingdatausingsymbolicregressionmethodsfordiscovering novel paradigms in physics.Science China Physics, Mechanics & Astronomy, 67(6):267301, 2024

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Resolution: verified exact; doi, observed 2026-07-09T16:26:20.515099Z

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 9ebe37f8-ba08-416d-8219-f51ffee89e13 · outbound

This paper cites Discovering governing equations from data by sparse identification of nonlinear dynamical systems.Proceedings of the national academy of sciences, 113(15):3932–3937.

Skin friction prediction for attached flows based on two-dimensional inviscid solutions Discovering governing equations from data by sparse identification of nonlinear dynamical systems.Proceedings of the national academy of sciences, 113(15):3932–3937

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Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T16:26:20.857128Z

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 e76e62c4-8b49-494c-8dc9-fa8a91a61282 · outbound

This paper cites Sparseidentificationofmultiphaseturbulence closures for coupled fluid–particle flows.Journal of Fluid Mechanics, 914:A11, 2021.

Skin friction prediction for attached flows based on two-dimensional inviscid solutions Sparseidentificationofmultiphaseturbulence closures for coupled fluid–particle flows.Journal of Fluid Mechanics, 914:A11, 2021

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Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T16:26:20.866381Z

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 d2498605-ee38-4e72-ba42-ed679cb83d82 · outbound

This paper cites Dimensionalhomogeneity constrained gene expression programming for discovering governing equations.Journal of Fluid Mechanics, 985:A12, 2024.

Skin friction prediction for attached flows based on two-dimensional inviscid solutions Dimensionalhomogeneity constrained gene expression programming for discovering governing equations.Journal of Fluid Mechanics, 985:A12, 2024

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Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T16:26:20.870429Z

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 0da36cc1-1ac0-4e57-b065-76bf5df2fb44 · outbound

This paper cites Symbolic identification of tensor equations in multidimensional physical fields.Journal of Fluid Mechanics, 1024:A34, 2025.

Skin friction prediction for attached flows based on two-dimensional inviscid solutions Symbolic identification of tensor equations in multidimensional physical fields.Journal of Fluid Mechanics, 1024:A34, 2025

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Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T16:26:20.872677Z

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 27a5cd63-6e24-4ad9-8211-f82970adb2bb · outbound

This paper cites Symbolic regression-enhanced dynamic wake meandering: fast and physically consistent wind turbine wake modelling.Journal of Fluid Mechanics, 1025:A56, 2025.

Skin friction prediction for attached flows based on two-dimensional inviscid solutions Symbolic regression-enhanced dynamic wake meandering: fast and physically consistent wind turbine wake modelling.Journal of Fluid Mechanics, 1025:A56, 2025

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Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T16:26:20.881851Z

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 ebff8693-0117-4855-a2ef-ae6b80f723d8 · outbound

This paper cites A novel evolutionary algorithm applied to algebraic modifications of the rans stress–strain relationship.Journal of Computational Physics, 325:22–37, 2016.

Skin friction prediction for attached flows based on two-dimensional inviscid solutions A novel evolutionary algorithm applied to algebraic modifications of the rans stress–strain relationship.Journal of Computational Physics, 325:22–37, 2016

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Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T16:26:20.874716Z

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 2857dbbb-b628-44f7-8164-760af1dd5684 · outbound

This paper cites Data-driven adverse pressure gradient correction for turbulence model.AIAA Journal, 63(7):2780–2796, 2025.

Skin friction prediction for attached flows based on two-dimensional inviscid solutions Data-driven adverse pressure gradient correction for turbulence model.AIAA Journal, 63(7):2780–2796, 2025

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T16:26:20.898987Z

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 e8d00021-00dc-4861-a9fc-f2e4916314cc · outbound

This paper cites Data-enabled discovery of specific and generalisable turbulence closures.Journal of Fluid Mechanics, 1016:R1, 2025.

Skin friction prediction for attached flows based on two-dimensional inviscid solutions Data-enabled discovery of specific and generalisable turbulence closures.Journal of Fluid Mechanics, 1016:R1, 2025

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Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T16:26:20.904661Z

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 e0fbc5ba-d7e1-46e0-8cd6-00602ef7f268 · outbound

This paper cites Scaling function learning: A sparse aerodynamic data reconstruction method for various aircraft shapes.Chinese Journal of Aeronautics, 39(4):103797, 2025.

Skin friction prediction for attached flows based on two-dimensional inviscid solutions Scaling function learning: A sparse aerodynamic data reconstruction method for various aircraft shapes.Chinese Journal of Aeronautics, 39(4):103797, 2025

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T16:26:20.886137Z

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 616ded6d-d659-439b-830a-294dba07e9c6 · outbound

This paper cites Data-driven Progressive Discovery of Physical Laws.

Skin friction prediction for attached flows based on two-dimensional inviscid solutions Data-driven Progressive Discovery of Physical Laws

Reference 45

Resolution: verified exact; local_arxiv, observed 2026-07-09T16:26:20.729182Z

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 47958b90-b22e-43ce-bcaa-7d9bf5d6f575 · outbound

This paper cites Data-driven discovery of dimensionless numbers and governing laws from scarce measurements.Nature communications, 13(1):7562, 2022.

Skin friction prediction for attached flows based on two-dimensional inviscid solutions Data-driven discovery of dimensionless numbers and governing laws from scarce measurements.Nature communications, 13(1):7562, 2022

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T16:26:20.849211Z

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 5e4b8e9c-cf3e-48a5-899a-d091c3fbbe42 · outbound

This paper cites an unresolved cited work.

Skin friction prediction for attached flows based on two-dimensional inviscid solutions Unresolved cited work

Reference 47

Resolution: unresolved; raw_fallback, observed 2026-07-09T16:26:20.902672Z

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 61c982d6-68fd-48cf-ac6f-26f35c5ff48c · outbound

This paper cites Transformations of velocity and temperature for compressible turbulent boundary layers from subsonic to hypersonic regimes.Journal of Fluid Mechanics, 1029:A12, 2026.

Skin friction prediction for attached flows based on two-dimensional inviscid solutions Transformations of velocity and temperature for compressible turbulent boundary layers from subsonic to hypersonic regimes.Journal of Fluid Mechanics, 1029:A12, 2026

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T16:26:20.804625Z

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 81394b51-690b-4651-b728-13dd731b59fd · outbound

This paper cites Extracting self-similarity from data.

Skin friction prediction for attached flows based on two-dimensional inviscid solutions Extracting self-similarity from data

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T16:26:20.900871Z

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 e6656759-1849-4442-b777-b3d7e24db9f9 · outbound

This paper cites Symbolic learning of material constitutive laws.Science China Physics, Mechanics & Astronomy, 69(1), 2025.

Skin friction prediction for attached flows based on two-dimensional inviscid solutions Symbolic learning of material constitutive laws.Science China Physics, Mechanics & Astronomy, 69(1), 2025

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T16:26:20.837397Z

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 0bef2234-d04f-4a8c-a3b5-dc6a332e2920 · outbound

This paper cites Design and development of software automated continuous integration and testing platform for national numerical windtunnel project.Acta Aerodynamica Sinica, 38(6):1158–1164, 2021.

Skin friction prediction for attached flows based on two-dimensional inviscid solutions Design and development of software automated continuous integration and testing platform for national numerical windtunnel project.Acta Aerodynamica Sinica, 38(6):1158–1164, 2021

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T16:26:20.839764Z

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 ba7587c0-4f1f-4ed7-b2a0-00f522c42b78 · outbound

This paper cites Largesamplepropertiesofsimulationsusinglatinhypercubesampling.Technometrics, 29(2):143–151, 1987.

Skin friction prediction for attached flows based on two-dimensional inviscid solutions Largesamplepropertiesofsimulationsusinglatinhypercubesampling.Technometrics, 29(2):143–151, 1987

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T16:26:20.906727Z

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 8f1b61f4-afba-4fc9-ac22-ff29eec5bbc9 · outbound

This paper cites Lightgbm: A highly efficient gradient boosting decision tree.Advances in neural information processing systems, 30, 2017.

Skin friction prediction for attached flows based on two-dimensional inviscid solutions Lightgbm: A highly efficient gradient boosting decision tree.Advances in neural information processing systems, 30, 2017

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T16:26:20.883908Z

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 be20f6cf-84c3-45e1-b00a-2551b6c2ad6e · outbound

This paper cites Random forests.Machine learning, 45(1):5–32.

Skin friction prediction for attached flows based on two-dimensional inviscid solutions Random forests.Machine learning, 45(1):5–32

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T16:26:20.848084Z

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 80c1a945-b299-4e21-9793-94fe1c9bb4c7 · outbound

This paper cites McGraw hill, 2011.

Skin friction prediction for attached flows based on two-dimensional inviscid solutions McGraw hill, 2011

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T16:26:20.892754Z

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 6ee930b9-e678-43ea-af31-fdf04df74f22 · outbound

This paper cites An explicit expression of the turbulent frictional drag coefficient for a flat plate.

Skin friction prediction for attached flows based on two-dimensional inviscid solutions An explicit expression of the turbulent frictional drag coefficient for a flat plate

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T16:26:20.828131Z

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.

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