A Hybrid Generative Reduced-Order Model for the Minimal Flow Unit | Paper Citation Record

Observation 41c092d4-3bb0-43da-a339-46ad69dee654 · outbound

This paper cites Near-wall turbulence.Physics of Fluids, 25(10), 2013.

A Hybrid Generative Reduced-Order Model for the Minimal Flow Unit Near-wall turbulence.Physics of Fluids, 25(10), 2013

Reference 1

Resolution: unresolved; no resolver link, observed 2026-06-27T15:22:44.528747Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 03fc0eb0-0e06-4cbb-af70-9aa7b7077993 · outbound

This paper cites On the influence of outer large-scale structures on near-wall turbulence in channel flow.Physics of Fluids, 26(7), 2014.

A Hybrid Generative Reduced-Order Model for the Minimal Flow Unit On the influence of outer large-scale structures on near-wall turbulence in channel flow.Physics of Fluids, 26(7), 2014

Reference 2

Resolution: unresolved; no resolver link, observed 2026-06-27T15:22:44.528747Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 132a09cf-9a3b-4dd3-a363-e744459a1007 · outbound

This paper cites The local structure of turbulence in incompressible viscous fluid for very large reynolds.Numbers.

A Hybrid Generative Reduced-Order Model for the Minimal Flow Unit The local structure of turbulence in incompressible viscous fluid for very large reynolds.Numbers

Reference 3

Resolution: unresolved; no resolver link, observed 2026-06-27T15:22:44.528747Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 15941676-2194-4cfc-9688-088cf6fc51dc · outbound

This paper cites Springer Berlin Heidelberg, Berlin, Heidelberg, 2003.

A Hybrid Generative Reduced-Order Model for the Minimal Flow Unit Springer Berlin Heidelberg, Berlin, Heidelberg, 2003

Reference 4

Resolution: unresolved; no resolver link, observed 2026-06-27T15:22:44.528747Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2453c4c0-4223-4b7f-9cdf-76d63a852f4d · outbound

This paper cites Coherent motions in the turbulent boundary layer.Annual review of fluid mechanics, 23(1): 601–639, 1991.

A Hybrid Generative Reduced-Order Model for the Minimal Flow Unit Coherent motions in the turbulent boundary layer.Annual review of fluid mechanics, 23(1): 601–639, 1991

Reference 5

Resolution: unresolved; no resolver link, observed 2026-06-27T15:22:44.528747Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f13da2f6-82c7-4f27-afc8-6494e03ffa38 · outbound

This paper cites Large-scale amplitude modulation of the small-scale structures in turbulent boundary layers.Journal of Fluid Mechanics, 628:311–337, 2009.

A Hybrid Generative Reduced-Order Model for the Minimal Flow Unit Large-scale amplitude modulation of the small-scale structures in turbulent boundary layers.Journal of Fluid Mechanics, 628:311–337, 2009

Reference 6

Resolution: unresolved; no resolver link, observed 2026-06-27T15:22:44.528747Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation da48dfc8-5886-4a1b-a7cd-b161e9c0a7bd · outbound

This paper cites High reynolds number effects in wall turbulence.Interna- tional Journal of Heat and Fluid Flow, 31(3):418–428, 2010.

A Hybrid Generative Reduced-Order Model for the Minimal Flow Unit High reynolds number effects in wall turbulence.Interna- tional Journal of Heat and Fluid Flow, 31(3):418–428, 2010

Reference 7

Resolution: unresolved; no resolver link, observed 2026-06-27T15:22:44.528747Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation eeef3fde-c033-403f-a74f-c607b4cde020 · outbound

This paper cites Predictive model for wall-bounded turbulent flow.Science, 329(5988):193–196, 2010.

A Hybrid Generative Reduced-Order Model for the Minimal Flow Unit Predictive model for wall-bounded turbulent flow.Science, 329(5988):193–196, 2010

Reference 8

Resolution: unresolved; no resolver link, observed 2026-06-27T15:22:44.528747Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 13c0edcc-6c17-4e11-9ad9-9ee47c78c3e6 · outbound

This paper cites On the nature of turbulence.Les rencontres physiciens-mathématiciens de Strasbourg-RCP25, 12:1–44, 1971.

A Hybrid Generative Reduced-Order Model for the Minimal Flow Unit On the nature of turbulence.Les rencontres physiciens-mathématiciens de Strasbourg-RCP25, 12:1–44, 1971

Reference 9

Resolution: unresolved; no resolver link, observed 2026-06-27T15:22:44.528747Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d234fdb6-6a4f-476b-b286-bc131af08efa · outbound

This paper cites Self-sustaining mechanisms of wall turbulence-a review.

A Hybrid Generative Reduced-Order Model for the Minimal Flow Unit Self-sustaining mechanisms of wall turbulence-a review

Reference 10

Resolution: unresolved; no resolver link, observed 2026-06-27T15:22:44.528747Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e79c9d3e-27f3-43d3-b5cc-93f8faf3d7c5 · outbound

This paper cites Regeneration mechanisms of near-wall turbulence structures.

A Hybrid Generative Reduced-Order Model for the Minimal Flow Unit Regeneration mechanisms of near-wall turbulence structures

Reference 11

Resolution: unresolved; no resolver link, observed 2026-06-27T15:22:44.528747Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9c8628ae-7016-4a07-9c58-382eac6dd192 · outbound

This paper cites On a self-sustaining process in shear flows.Physics of Fluids, 9(4):883–900, 1997.

A Hybrid Generative Reduced-Order Model for the Minimal Flow Unit On a self-sustaining process in shear flows.Physics of Fluids, 9(4):883–900, 1997

Reference 12

Resolution: unresolved; no resolver link, observed 2026-06-27T15:22:44.528747Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d6f8e0d4-e86c-4089-9c0b-18627c3bf1e9 · outbound

This paper cites How streamwise rolls and streaks self-sustain in a shear flow.

A Hybrid Generative Reduced-Order Model for the Minimal Flow Unit How streamwise rolls and streaks self-sustain in a shear flow

Reference 13

Resolution: unresolved; no resolver link, observed 2026-06-27T15:22:44.528747Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6ad23554-d35f-4361-89a9-e11c689a69ae · outbound

This paper cites A low-dimensional model for turbulent shear flows.New Journal of Physics, 6(1):56, 2004.

A Hybrid Generative Reduced-Order Model for the Minimal Flow Unit A low-dimensional model for turbulent shear flows.New Journal of Physics, 6(1):56, 2004

Reference 14

Resolution: unresolved; no resolver link, observed 2026-06-27T15:22:44.528747Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0013195d-cf03-40b6-b83b-47c895f80ac7 · outbound

This paper cites Genesis and dynamics of coherent structures in near-wall turbulence: a new look.Self-sustaining Mechanisms of wall Turbulence, 1997.

A Hybrid Generative Reduced-Order Model for the Minimal Flow Unit Genesis and dynamics of coherent structures in near-wall turbulence: a new look.Self-sustaining Mechanisms of wall Turbulence, 1997

Reference 15

Resolution: unresolved; no resolver link, observed 2026-06-27T15:22:44.528747Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f5097485-2b93-404b-a12b-8c7ec9880faf · outbound

This paper cites an unresolved cited work.

A Hybrid Generative Reduced-Order Model for the Minimal Flow Unit Unresolved cited work

Reference 16

Resolution: unresolved; no resolver link, observed 2026-06-27T15:22:44.528747Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation aa125425-84c9-4c19-8ee5-436aa84bf1e2 · outbound

This paper cites Probability theory: foundations, random sequences.(No Title), 1955.

A Hybrid Generative Reduced-Order Model for the Minimal Flow Unit Probability theory: foundations, random sequences.(No Title), 1955

Reference 17

Resolution: unresolved; no resolver link, observed 2026-06-27T15:22:44.528747Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0ea4ac69-04c6-4861-a10a-e8fdbbaead9f · outbound

This paper cites an unresolved cited work.

A Hybrid Generative Reduced-Order Model for the Minimal Flow Unit Unresolved cited work

Reference 18

Resolution: unresolved; no resolver link, observed 2026-06-27T15:22:44.528747Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 56fe0608-e3b4-4496-a78e-9c5f7e0dca01 · outbound

This paper cites Lumley, Gahl Berkooz, and Clarence W.

A Hybrid Generative Reduced-Order Model for the Minimal Flow Unit Lumley, Gahl Berkooz, and Clarence W

Reference 19

Resolution: unresolved; no resolver link, observed 2026-06-27T15:22:44.528747Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 33a9a880-e9d5-499e-a641-53ed6434798e · outbound

This paper cites Turbulence and the dynamics of coherent structures.

A Hybrid Generative Reduced-Order Model for the Minimal Flow Unit Turbulence and the dynamics of coherent structures

Reference 20

Resolution: unresolved; no resolver link, observed 2026-06-27T15:22:44.528747Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4ddd37f1-9366-4324-89d9-a9ee10744506 · outbound

This paper cites an unresolved cited work.

A Hybrid Generative Reduced-Order Model for the Minimal Flow Unit Unresolved cited work

Reference 21

Resolution: unresolved; no resolver link, observed 2026-06-27T15:22:44.528747Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9dbcd3df-8cfe-4b5c-97f5-f8e7108f4180 · outbound

This paper cites The dynamics of coherent structures in the wall region of a turbulent boundary layer.Journal of fluid Mechanics, 192:115–173, 1988.

A Hybrid Generative Reduced-Order Model for the Minimal Flow Unit The dynamics of coherent structures in the wall region of a turbulent boundary layer.Journal of fluid Mechanics, 192:115–173, 1988

Reference 22

Resolution: unresolved; no resolver link, observed 2026-06-27T15:22:44.528747Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 041ec39d-187b-4e0d-85ac-6d7fa3480304 · outbound

This paper cites A low-dimensional approach for the minimal flow unit.Journal of Fluid Mechanics, 362:121–155, 1998.

A Hybrid Generative Reduced-Order Model for the Minimal Flow Unit A low-dimensional approach for the minimal flow unit.Journal of Fluid Mechanics, 362:121–155, 1998

Reference 23

Resolution: unresolved; no resolver link, observed 2026-06-27T15:22:44.528747Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2489779f-ac04-4495-bf4f-b7b800a9dccc · outbound

This paper cites Coherence and chaos in a model of turbulent boundary layer.Physics of Fluids A: Fluid Dynamics, 4(12):2855–2874, 1992.

A Hybrid Generative Reduced-Order Model for the Minimal Flow Unit Coherence and chaos in a model of turbulent boundary layer.Physics of Fluids A: Fluid Dynamics, 4(12):2855–2874, 1992

Reference 24

Resolution: unresolved; no resolver link, observed 2026-06-27T15:22:44.528747Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c1105383-653a-4276-9441-3f7358d73d45 · outbound

This paper cites Reduced Basis Methods: Success, Limitations and Future Challenges.

A Hybrid Generative Reduced-Order Model for the Minimal Flow Unit Reduced Basis Methods: Success, Limitations and Future Challenges

Reference 25

Resolution: metadata mismatch; local_arxiv, observed 2026-07-03T03:27:34.771233Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 19a2b4d4-1942-42b9-8ced-053c3d0cf3b5 · outbound

This paper cites Decay of the kolmogorov n-width for wave problems.Applied Mathematics Letters, 96:216–222, 2019.

A Hybrid Generative Reduced-Order Model for the Minimal Flow Unit Decay of the kolmogorov n-width for wave problems.Applied Mathematics Letters, 96:216–222, 2019

Reference 26

Resolution: unresolved; no resolver link, observed 2026-06-27T15:22:44.528747Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d507ba8b-8827-41ef-8622-3351a829b1e7 · outbound

This paper cites Breaking the kolmogorov barrier in model reduction of fluid flows.Fluids, 5(1): 26, 2020.

A Hybrid Generative Reduced-Order Model for the Minimal Flow Unit Breaking the kolmogorov barrier in model reduction of fluid flows.Fluids, 5(1): 26, 2020

Reference 27

Resolution: unresolved; no resolver link, observed 2026-06-27T15:22:44.528747Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a72e241a-c0cb-4790-980f-e4eee643a6bd · outbound

This paper cites Breaking the kolmogorov barrier with nonlinear model reduction.Notices of the American Mathematical Society, 69(5):725–733, 2022.

A Hybrid Generative Reduced-Order Model for the Minimal Flow Unit Breaking the kolmogorov barrier with nonlinear model reduction.Notices of the American Mathematical Society, 69(5):725–733, 2022

Reference 28

Resolution: unresolved; no resolver link, observed 2026-06-27T15:22:44.528747Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b43af0ce-fcbc-4a3d-a614-46a275784c13 · outbound

This paper cites MIT press Cambridge, 2016.

A Hybrid Generative Reduced-Order Model for the Minimal Flow Unit MIT press Cambridge, 2016

Reference 29

Resolution: unresolved; no resolver link, observed 2026-06-27T15:22:44.528747Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8ae573ea-da67-4e6c-bf25-e728635c292f · outbound

This paper cites Coding theorems for a discrete source with a fidelity criterion.IRE Nat.

A Hybrid Generative Reduced-Order Model for the Minimal Flow Unit Coding theorems for a discrete source with a fidelity criterion.IRE Nat

Reference 30

Resolution: unresolved; no resolver link, observed 2026-06-27T15:22:44.528747Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 061757ce-55d3-4992-8f67-9438d2a57335 · outbound

This paper cites On interpretability and proper latent decomposition of autoencoders.

A Hybrid Generative Reduced-Order Model for the Minimal Flow Unit On interpretability and proper latent decomposition of autoencoders

Reference 31

Resolution: verified exact; arxiv_id, observed 2026-07-03T03:27:34.764082Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 465bd141-1fdb-4461-86c3-58567da82913 · outbound

This paper cites Machine learning for fluid mechanics.Annual review of fluid mechanics, 52(1):477–508, 2020.

A Hybrid Generative Reduced-Order Model for the Minimal Flow Unit Machine learning for fluid mechanics.Annual review of fluid mechanics, 52(1):477–508, 2020

Reference 32

Resolution: unresolved; no resolver link, observed 2026-06-27T15:22:44.528747Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 252fe0ae-d4f1-4ec2-8193-5736642e0d5d · outbound

This paper cites Exploration and prediction of fluid dynamical systems using auto-encoder technology.Physics of Fluids, 32(6), 2020.

A Hybrid Generative Reduced-Order Model for the Minimal Flow Unit Exploration and prediction of fluid dynamical systems using auto-encoder technology.Physics of Fluids, 32(6), 2020

Reference 33

Resolution: unresolved; no resolver link, observed 2026-06-27T15:22:44.528747Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e63088bd-b0f5-4acf-8eb9-9348ba15b994 · outbound

This paper cites Enhancing computational fluid dynamics with machine learning.Nature Computational Science, 2(6):358–366, 2022.

A Hybrid Generative Reduced-Order Model for the Minimal Flow Unit Enhancing computational fluid dynamics with machine learning.Nature Computational Science, 2(6):358–366, 2022

Reference 34

Resolution: unresolved; no resolver link, observed 2026-06-27T15:22:44.528747Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation de135e47-b871-425a-b0b6-4b79f4f740e4 · outbound

This paper cites Perspectives on predicting and controlling turbulent flows through deep learning.Physics of Fluids, 36(3), 2024.

A Hybrid Generative Reduced-Order Model for the Minimal Flow Unit Perspectives on predicting and controlling turbulent flows through deep learning.Physics of Fluids, 36(3), 2024

Reference 35

Resolution: unresolved; no resolver link, observed 2026-06-27T15:22:44.528747Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2604b8e3-d18c-4d0b-b04f-db336cd66fd9 · outbound

This paper cites an unresolved cited work.

A Hybrid Generative Reduced-Order Model for the Minimal Flow Unit Unresolved cited work

Reference 36

Resolution: unresolved; no resolver link, observed 2026-06-27T15:22:44.528747Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8efaaa8c-5372-4656-a421-4eae593e6766 · outbound

This paper cites Predicting the wall-shear stress and wall pressure through convolutional neural networks.International Journal of Heat and Fluid Flow, 103:109200, 2023.

A Hybrid Generative Reduced-Order Model for the Minimal Flow Unit Predicting the wall-shear stress and wall pressure through convolutional neural networks.International Journal of Heat and Fluid Flow, 103:109200, 2023

Reference 37

Resolution: unresolved; no resolver link, observed 2026-06-27T15:22:44.528747Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 469b355a-a585-4fd1-99dd-e93f6737bf5d · outbound

This paper cites Dynamics of a data-driven low-dimensional model of turbulent minimal couette flow.Journal of Fluid Mechanics, 973:A42, 2023.

A Hybrid Generative Reduced-Order Model for the Minimal Flow Unit Dynamics of a data-driven low-dimensional model of turbulent minimal couette flow.Journal of Fluid Mechanics, 973:A42, 2023

Reference 38

Resolution: unresolved; no resolver link, observed 2026-06-27T15:22:44.528747Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 44dba006-73d6-414e-bc0f-2e49b0107d6d · outbound

This paper cites an unresolved cited work.

A Hybrid Generative Reduced-Order Model for the Minimal Flow Unit Unresolved cited work

Reference 39

Resolution: unresolved; no resolver link, observed 2026-06-27T15:22:44.528747Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 09779adb-5b93-4c8a-8324-241051044bab · outbound

This paper cites beta-V AE: Learning basic visual concepts with a constrained variational framework.

A Hybrid Generative Reduced-Order Model for the Minimal Flow Unit beta-V AE: Learning basic visual concepts with a constrained variational framework

Reference 40

Resolution: unresolved; no resolver link, observed 2026-06-27T15:22:44.528747Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e1e19434-02ac-43b9-b880-3f206862b424 · outbound

This paper cites Generative adversarial nets.Advances in neural information processing systems, 27, 2014.

A Hybrid Generative Reduced-Order Model for the Minimal Flow Unit Generative adversarial nets.Advances in neural information processing systems, 27, 2014

Reference 41

Resolution: unresolved; no resolver link, observed 2026-06-27T15:22:44.528747Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 73b7bfb0-159d-4876-a914-8b2cc5817096 · outbound

This paper cites Vivaldy: A hybrid generative reduced-order model for turbulent flows, applied to vortex-induced vibrations.Physical Review Fluids,.

A Hybrid Generative Reduced-Order Model for the Minimal Flow Unit Vivaldy: A hybrid generative reduced-order model for turbulent flows, applied to vortex-induced vibrations.Physical Review Fluids,

Reference 42

Resolution: unresolved; no resolver link, observed 2026-06-27T15:22:44.528747Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 196adf3c-37e6-46ff-bb56-974ae435644c · outbound

This paper cites an unresolved cited work.

A Hybrid Generative Reduced-Order Model for the Minimal Flow Unit Unresolved cited work

Reference 43

Resolution: parse uncertain; no resolver link, observed 2026-06-27T15:22:44.528747Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fb4a17f7-493e-4694-94ba-a15b5f556330 · outbound

This paper cites Scalable diffusion models with transformers.

A Hybrid Generative Reduced-Order Model for the Minimal Flow Unit Scalable diffusion models with transformers

Reference 44

Resolution: unresolved; no resolver link, observed 2026-06-27T15:22:44.528747Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f1f31943-c9dd-427b-b7f9-f965c508ba69 · outbound

This paper cites Easy attention: A simple attention mechanism for temporal predictions with transformers.APL Computational Physics, 1(1):016104, 2025.

A Hybrid Generative Reduced-Order Model for the Minimal Flow Unit Easy attention: A simple attention mechanism for temporal predictions with transformers.APL Computational Physics, 1(1):016104, 2025

Reference 45

Resolution: unresolved; no resolver link, observed 2026-06-27T15:22:44.528747Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1b62a252-0bd0-4c53-a3d2-a66a23f4c5e5 · outbound

This paper cites Attention Is All You Need.

A Hybrid Generative Reduced-Order Model for the Minimal Flow Unit Attention Is All You Need

Reference 46

Resolution: verified exact; local_arxiv, observed 2026-07-03T03:27:34.764755Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 95068ea2-800c-46ed-8e06-bc0e5ee621a9 · outbound

This paper cites The minimal flow unit in near-wall turbulence.Journal of Fluid Mechanics, 225: 213–240, 1991.

A Hybrid Generative Reduced-Order Model for the Minimal Flow Unit The minimal flow unit in near-wall turbulence.Journal of Fluid Mechanics, 225: 213–240, 1991

Reference 47

Resolution: unresolved; no resolver link, observed 2026-06-27T15:22:44.528747Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 511c481b-bb6e-4587-bdcd-617d79b8ffcd · outbound

This paper cites Eddies, streams, and convergence zones in turbulent flows.

A Hybrid Generative Reduced-Order Model for the Minimal Flow Unit Eddies, streams, and convergence zones in turbulent flows

Reference 48

Resolution: unresolved; no resolver link, observed 2026-06-27T15:22:44.528747Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0071363b-12c8-4159-960c-2ebbda8470eb · outbound

This paper cites Sod2d: A gpu-enabled spectral finite elements method for compressible scale-resolving simulations.Computer Physics Communications, 297:109067, 2024.

A Hybrid Generative Reduced-Order Model for the Minimal Flow Unit Sod2d: A gpu-enabled spectral finite elements method for compressible scale-resolving simulations.Computer Physics Communications, 297:109067, 2024

Reference 49

Resolution: unresolved; no resolver link, observed 2026-06-27T15:22:44.528747Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c0638273-a596-4dfa-aec4-9dd277bdfe70 · outbound

This paper cites Turbulence statistics in fully developed channel flow at low reynolds number.Journal of fluid mechanics, 177:133–166, 1987.

A Hybrid Generative Reduced-Order Model for the Minimal Flow Unit Turbulence statistics in fully developed channel flow at low reynolds number.Journal of fluid mechanics, 177:133–166, 1987

Reference 50

Resolution: unresolved; no resolver link, observed 2026-06-27T15:22:44.528747Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ab83b905-4f6a-4976-bc93-2fe9f08a004f · outbound

This paper cites Spatiotemporal analysis of complex signals: theory and applications.Journal of Statistical Physics, 64(3):683–739, 1991.

A Hybrid Generative Reduced-Order Model for the Minimal Flow Unit Spatiotemporal analysis of complex signals: theory and applications.Journal of Statistical Physics, 64(3):683–739, 1991

Reference 51

Resolution: unresolved; no resolver link, observed 2026-06-27T15:22:44.528747Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ba070b56-4d38-482e-9c04-cfb7aa8a9522 · outbound

This paper cites Deep generative models for distribution-preserving lossy compression.Advances in neural information processing systems, 31, 2018.

A Hybrid Generative Reduced-Order Model for the Minimal Flow Unit Deep generative models for distribution-preserving lossy compression.Advances in neural information processing systems, 31, 2018

Reference 52

Resolution: unresolved; no resolver link, observed 2026-06-27T15:22:44.528747Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0247e5d6-6760-4823-9ee2-dcd4278184eb · outbound

This paper cites Generative adversarial networks for extreme learned image compression.

A Hybrid Generative Reduced-Order Model for the Minimal Flow Unit Generative adversarial networks for extreme learned image compression

Reference 53

Resolution: unresolved; no resolver link, observed 2026-06-27T15:22:44.528747Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation af77fc9b-f7fc-451f-b3be-5c6f3b81e32e · outbound

This paper cites High-fidelity generative image compression.Advances in Neural Information Processing Systems, 33:11913–11924, 2020.

A Hybrid Generative Reduced-Order Model for the Minimal Flow Unit High-fidelity generative image compression.Advances in Neural Information Processing Systems, 33:11913–11924, 2020

Reference 54

Resolution: unresolved; no resolver link, observed 2026-06-27T15:22:44.528747Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 343d81f1-0982-4872-b30e-0aaa458c599b · outbound

This paper cites Auto-Encoding Variational Bayes.

A Hybrid Generative Reduced-Order Model for the Minimal Flow Unit Auto-Encoding Variational Bayes

Reference 55

Resolution: verified exact; local_arxiv, observed 2026-07-03T03:27:34.774051Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 04ea1081-66a0-4bb3-994f-755dbfa5d0c9 · outbound

This paper cites Understanding disentangling in $\beta$-VAE.

A Hybrid Generative Reduced-Order Model for the Minimal Flow Unit Understanding disentangling in $\beta$-VAE

Reference 56

Resolution: verified exact; local_arxiv, observed 2026-07-03T03:27:34.782885Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation c7767466-13c3-4d94-a00a-d6468a4db313 · outbound

This paper cites Disentangling generative factors of physical fields using variational autoencoders.Frontiers in Physics, 10:890910, 2022.

A Hybrid Generative Reduced-Order Model for the Minimal Flow Unit Disentangling generative factors of physical fields using variational autoencoders.Frontiers in Physics, 10:890910, 2022

Reference 57

Resolution: unresolved; no resolver link, observed 2026-06-27T15:22:44.528747Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5b79b13d-15be-41b6-b5f3-f95c819c0e20 · outbound

This paper cites Deconvolution and Checkerboard Artifacts.

A Hybrid Generative Reduced-Order Model for the Minimal Flow Unit Deconvolution and Checkerboard Artifacts

Reference 58

Resolution: verified exact; doi, observed 2026-06-27T19:11:10.541689Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 9250dac0-e338-4a30-8147-5a8661121a79 · outbound

This paper cites Spectral Normalization for Generative Adversarial Networks.

A Hybrid Generative Reduced-Order Model for the Minimal Flow Unit Spectral Normalization for Generative Adversarial Networks

Reference 59

Resolution: verified exact; local_arxiv, observed 2026-07-03T03:27:34.779991Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation c90d6a93-8324-4868-a928-82a65417b2b0 · outbound

This paper cites Image-to-image translation with conditional adversarial networks.

A Hybrid Generative Reduced-Order Model for the Minimal Flow Unit Image-to-image translation with conditional adversarial networks

Reference 60

Resolution: unresolved; no resolver link, observed 2026-06-27T15:22:44.528747Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5c447d37-3ee6-498f-b620-5137d8d65c63 · outbound

This paper cites Adam: A Method for Stochastic Optimization.

A Hybrid Generative Reduced-Order Model for the Minimal Flow Unit Adam: A Method for Stochastic Optimization

Reference 61

Resolution: verified exact; local_arxiv, observed 2026-07-03T03:27:34.776659Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation d4c18b28-a312-4762-b947-5246499eaca3 · outbound

This paper cites Cyclical Annealing Schedule: A Simple Approach to Mitigating KL Vanishing.

A Hybrid Generative Reduced-Order Model for the Minimal Flow Unit Cyclical Annealing Schedule: A Simple Approach to Mitigating KL Vanishing

Reference 62

Resolution: verified exact; local_arxiv, observed 2026-07-03T03:27:34.766595Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 477c3bcd-9519-40ff-ac02-ef89efa8ce47 · outbound

This paper cites On deep-learning-based closures for algebraic surrogate models of turbulent flows.Journal of Fluid Mechanics, 1020:A36, 2025.

A Hybrid Generative Reduced-Order Model for the Minimal Flow Unit On deep-learning-based closures for algebraic surrogate models of turbulent flows.Journal of Fluid Mechanics, 1020:A36, 2025

Reference 63

Resolution: verified exact; arxiv_id, observed 2026-06-27T19:11:10.544556Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation a24a3505-6804-4e44-b645-a4a8866e8cbe · outbound

This paper cites Accurate, Large Minibatch SGD: Training ImageNet in 1 Hour.

A Hybrid Generative Reduced-Order Model for the Minimal Flow Unit Accurate, Large Minibatch SGD: Training ImageNet in 1 Hour

Reference 64

Resolution: verified exact; local_arxiv, observed 2026-07-03T03:27:34.778114Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 1082a992-d44b-4264-b252-0fa43a2ff6f5 · outbound

This paper cites Scheduled sampling for sequence prediction with recurrent neural networks.

A Hybrid Generative Reduced-Order Model for the Minimal Flow Unit Scheduled sampling for sequence prediction with recurrent neural networks

Reference 65

Resolution: unresolved; no resolver link, observed 2026-06-27T15:22:44.528747Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation feb968b5-c344-4653-948b-0778eaf75b4b · outbound

This paper cites Importance Weighted Autoencoders.

A Hybrid Generative Reduced-Order Model for the Minimal Flow Unit Importance Weighted Autoencoders

Reference 66

Resolution: verified exact; local_arxiv, observed 2026-07-03T03:27:34.769257Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 5554d641-1dd8-48b3-9323-9d9e6946bf35 · outbound

This paper cites Quadrant analysis in turbulence research: history and evolution.Annual Review of Fluid Mechanics, 48(1):131–158, 2016.

A Hybrid Generative Reduced-Order Model for the Minimal Flow Unit Quadrant analysis in turbulence research: history and evolution.Annual Review of Fluid Mechanics, 48(1):131–158, 2016

Reference 67

Resolution: unresolved; no resolver link, observed 2026-06-27T15:22:44.528747Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 55472cb7-29d1-4f7e-a25b-47c775d4ff46 · outbound

This paper cites Structure of the reynolds stress near the wall.Journal of Fluid Mechanics, 55(1): 65–92, 1972.

A Hybrid Generative Reduced-Order Model for the Minimal Flow Unit Structure of the reynolds stress near the wall.Journal of Fluid Mechanics, 55(1): 65–92, 1972

Reference 68

Resolution: unresolved; no resolver link, observed 2026-06-27T15:22:44.528747Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Coverage vector

Reference resolution

Outbound references

Pith citing papers