Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-11T18:09:49.139663Z
Paper Citation Record · LEDGER
Machine Learning Enhanced Collision Operator for the Lattice Boltzmann Method Based on Invariant Networks
As of 23 August 2026, this Paper Citation Record lists 61 of 61 outbound references and 0 inbound Pith citation observations for arXiv:2412.08229.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
61 of 61 outbound references displayed
- verified exact1
- verified fuzzy57
- unresolved3
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 32f15b66-cd77-4281-bc9a-d1352732e68c · outbound
This paper cites Kovasznay.
Reference 1
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T18:09:49.845959Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation ae92db72-065c-46d1-99d0-7a1f05ab1365 · outbound
This paper cites an unresolved cited work.
Machine Learning Enhanced Collision Operator for the Lattice Boltzmann Method Based on Invariant Networks Unresolved cited work
Reference 2
- Resolution
- unresolved
- raw_fallback, observed 2026-08-11T18:09:49.837408Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 13b786e6-dfe4-49e0-8483-d4e43496ea38 · outbound
This paper cites For clarity, it is defined as ∇(n) = ∇(n) α1...αn = ∂ ∂xa1.
Machine Learning Enhanced Collision Operator for the Lattice Boltzmann Method Based on Invariant Networks For clarity, it is defined as ∇(n) = ∇(n) α1...αn = ∂ ∂xa1
Reference 3
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T18:09:49.873424Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 8dd7293d-9ae6-41ed-a372-f78e5e7b43ce · outbound
This paper cites Turbulent flows.
Machine Learning Enhanced Collision Operator for the Lattice Boltzmann Method Based on Invariant Networks Turbulent flows
Reference 4
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T18:09:49.819094Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 758a4c41-60e2-4836-a554-71664c40628c · outbound
This paper cites an unresolved cited work.
Machine Learning Enhanced Collision Operator for the Lattice Boltzmann Method Based on Invariant Networks Unresolved cited work
Reference 5
- Resolution
- unresolved
- raw_fallback, observed 2026-08-11T18:09:49.809639Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 5b390485-cbe8-4192-a9e9-e8f0ab9db21e · outbound
This paper cites Extreme flow simulations reveal skeletal adaptations of deep-sea sponges.
Machine Learning Enhanced Collision Operator for the Lattice Boltzmann Method Based on Invariant Networks Extreme flow simulations reveal skeletal adaptations of deep-sea sponges
Reference 6
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T18:09:49.800480Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation b611196a-0302-4483-9a14-8b16869a1cc3 · outbound
This paper cites Department of Energy.
Machine Learning Enhanced Collision Operator for the Lattice Boltzmann Method Based on Invariant Networks Department of Energy
Reference 7
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T18:09:49.827905Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation b81024b1-b2f2-45ed-83d4-93cdfefd767b · outbound
This paper cites The lattice boltzmann equation: A new tool for computa- tional fluid-dynamics.
Machine Learning Enhanced Collision Operator for the Lattice Boltzmann Method Based on Invariant Networks The lattice boltzmann equation: A new tool for computa- tional fluid-dynamics
Reference 8
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T18:09:49.780102Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation e7e3838c-383e-404c-9ed2-f05fefa1aa6d · outbound
This paper cites Machine learning for fluid mechanics.
Machine Learning Enhanced Collision Operator for the Lattice Boltzmann Method Based on Invariant Networks Machine learning for fluid mechanics
Reference 9
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T18:09:49.771694Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 17915044-0fa5-4097-a0c9-c4d94a3daac9 · outbound
This paper cites Physics- informed machine learning approach for reconstructing reynolds stress modeling discrepancies based on dns data.
Machine Learning Enhanced Collision Operator for the Lattice Boltzmann Method Based on Invariant Networks Physics- informed machine learning approach for reconstructing reynolds stress modeling discrepancies based on dns data
Reference 10
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T18:09:49.763101Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 75438fda-d2c1-4e1d-8487-cf918bf2ff9b · outbound
This paper cites A primer on di- rect numerical simulation of turbulence – methods, pro- cedures and guidelines.
Machine Learning Enhanced Collision Operator for the Lattice Boltzmann Method Based on Invariant Networks A primer on di- rect numerical simulation of turbulence – methods, pro- cedures and guidelines
Reference 11
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T18:09:49.790159Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 8c8f205b-b01e-47bc-a755-2fb181509048 · outbound
This paper cites Deep fluids: A generative network for parameterized fluid simulations.
Machine Learning Enhanced Collision Operator for the Lattice Boltzmann Method Based on Invariant Networks Deep fluids: A generative network for parameterized fluid simulations
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T18:09:49.744886Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 62acb3da-2bfb-40cf-bfd8-6b4bfe983bf0 · outbound
This paper cites Lattice boltzmann method for fluid flows.
Machine Learning Enhanced Collision Operator for the Lattice Boltzmann Method Based on Invariant Networks Lattice boltzmann method for fluid flows
Reference 13
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T18:09:49.734389Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 723d040b-6573-4598-b370-07df6a3f453f · outbound
This paper cites The lattice boltzmann method.
Machine Learning Enhanced Collision Operator for the Lattice Boltzmann Method Based on Invariant Networks The lattice boltzmann method
Reference 14
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T18:09:49.724722Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation c9ebdca3-ec3d-45d0-ab03-516e3d16ab19 · outbound
This paper cites Subgrid modelling for two-dimensional turbu- lence using neural networks.
Machine Learning Enhanced Collision Operator for the Lattice Boltzmann Method Based on Invariant Networks Subgrid modelling for two-dimensional turbu- lence using neural networks
Reference 15
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T18:09:49.754555Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 83290e48-6f31-446e-b394-7f1c20f43928 · outbound
This paper cites Lattice Boltzmann simulations on irregular grids: Introduction of the NATriuM library.
Machine Learning Enhanced Collision Operator for the Lattice Boltzmann Method Based on Invariant Networks Lattice Boltzmann simulations on irregular grids: Introduction of the NATriuM library
Reference 16
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T18:09:49.705792Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 500cf7a8-f141-4143-a836-3a15406c0ab8 · outbound
This paper cites High-order semi-lagrangian kinetic scheme for compressible turbulence.
Machine Learning Enhanced Collision Operator for the Lattice Boltzmann Method Based on Invariant Networks High-order semi-lagrangian kinetic scheme for compressible turbulence
Reference 17
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T18:09:49.695275Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation faadcae9-1e02-4c10-baa1-a492518c0e30 · outbound
This paper cites Progress of discrete unified gas- kinetic scheme for multiscale flows.
Machine Learning Enhanced Collision Operator for the Lattice Boltzmann Method Based on Invariant Networks Progress of discrete unified gas- kinetic scheme for multiscale flows
Reference 18
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T18:09:49.684382Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation a5365413-aae1-452b-925f-e6d40f17fb61 · outbound
This paper cites Semi-lagrangian off-lattice boltzmann method for weakly compressible flows.
Machine Learning Enhanced Collision Operator for the Lattice Boltzmann Method Based on Invariant Networks Semi-lagrangian off-lattice boltzmann method for weakly compressible flows
Reference 19
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T18:09:49.715723Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 81e44e6f-f912-40eb-b451-c59bf4e5f395 · outbound
This paper cites Ricot, S.
Reference 20
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T18:09:49.663888Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation e308edcf-1e52-4eec-a0b2-8c92b13aa5bd · outbound
This paper cites Gibbs’ principle for the lattice-kinetic theory of fluid dy- namics.
Machine Learning Enhanced Collision Operator for the Lattice Boltzmann Method Based on Invariant Networks Gibbs’ principle for the lattice-kinetic theory of fluid dy- namics
Reference 21
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T18:09:49.655020Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation d76328ca-817f-42ed-a021-d3e588d2eece · outbound
This paper cites The cumulant lattice boltzmann equation in three dimensions: Theory and validation.
Machine Learning Enhanced Collision Operator for the Lattice Boltzmann Method Based on Invariant Networks The cumulant lattice boltzmann equation in three dimensions: Theory and validation
Reference 22
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T18:09:49.646484Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation e804082f-d7f4-4a96-b2fc-8fdbc9d0d65c · outbound
This paper cites Interface-capturing lattice boltzmann equation model for two-phase flows.
Machine Learning Enhanced Collision Operator for the Lattice Boltzmann Method Based on Invariant Networks Interface-capturing lattice boltzmann equation model for two-phase flows
Reference 23
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T18:09:49.674814Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation c1a3e7ce-ccc0-4066-add5-9748726070ce · outbound
This paper cites Hosseini, M.
Machine Learning Enhanced Collision Operator for the Lattice Boltzmann Method Based on Invariant Networks Hosseini, M
Reference 24
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T18:09:49.627204Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation fa3fb1d6-e0f2-4a4f-86d4-34462942532d · outbound
This paper cites Lettuce: Pytorch-based lattice boltzmann framework.
Machine Learning Enhanced Collision Operator for the Lattice Boltzmann Method Based on Invariant Networks Lettuce: Pytorch-based lattice boltzmann framework
Reference 25
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T18:09:49.618278Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation cfb8c3ce-06ab-40d9-b13b-217591f9fecb · outbound
This paper cites Toward learning lattice boltzmann collision operators.
Machine Learning Enhanced Collision Operator for the Lattice Boltzmann Method Based on Invariant Networks Toward learning lattice boltzmann collision operators
Reference 26
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T18:09:49.607757Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 012461f4-bb39-4df4-8a80-789ebe09cdc8 · outbound
This paper cites Pseudoentropic derivation of the regularized lattice boltzmann method.
Machine Learning Enhanced Collision Operator for the Lattice Boltzmann Method Based on Invariant Networks Pseudoentropic derivation of the regularized lattice boltzmann method
Reference 27
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T18:09:49.637206Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 812447f3-57f6-4629-88c9-a371ff744f7d · outbound
This paper cites Enhancing lattice kinetic schemes for fluid dynamics with Lattice-Equivariant Neural Networks.
Machine Learning Enhanced Collision Operator for the Lattice Boltzmann Method Based on Invariant Networks Enhancing lattice kinetic schemes for fluid dynamics with Lattice-Equivariant Neural Networks
Reference 28
- Resolution
- verified exact
- local_arxiv, observed 2026-08-11T18:09:49.174908Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation d731bbbd-067f-45f4-84e2-0e5224892da4 · outbound
This paper cites Kinetic data-driven approach to turbulence subgrid modeling.
Machine Learning Enhanced Collision Operator for the Lattice Boltzmann Method Based on Invariant Networks Kinetic data-driven approach to turbulence subgrid modeling
Reference 29
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T18:09:49.587768Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 2f6d8a2f-0fac-40db-b2e5-03fe06741b41 · outbound
This paper cites Xlb: A differentiable massively parallel lattice boltzmann li- brary in python.
Machine Learning Enhanced Collision Operator for the Lattice Boltzmann Method Based on Invariant Networks Xlb: A differentiable massively parallel lattice boltzmann li- brary in python
Reference 30
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T18:09:49.578378Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation a1576d94-51f7-4202-ab59-d52cf1a828b7 · outbound
This paper cites Lattice boltzmann method with ar- tificial bulk viscosity using a neural collision operator.
Machine Learning Enhanced Collision Operator for the Lattice Boltzmann Method Based on Invariant Networks Lattice boltzmann method with ar- tificial bulk viscosity using a neural collision operator
Reference 31
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T18:09:49.597971Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 94cf1b5e-b690-4814-9a24-6987429cc716 · outbound
This paper cites Theory of the lattice boltzmann method: Dispersion, dissipation, isotropy, galilean invariance, and stability.
Machine Learning Enhanced Collision Operator for the Lattice Boltzmann Method Based on Invariant Networks Theory of the lattice boltzmann method: Dispersion, dissipation, isotropy, galilean invariance, and stability
Reference 32
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T18:09:49.558469Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation dc04bf84-727e-4d8e-9649-ea8df339040b · outbound
This paper cites Incompressible limits of lattice boltzmann equations using multiple relaxation times.
Machine Learning Enhanced Collision Operator for the Lattice Boltzmann Method Based on Invariant Networks Incompressible limits of lattice boltzmann equations using multiple relaxation times
Reference 33
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T18:09:49.550332Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 390f6e2f-822e-4df6-aead-618ea1aea81c · outbound
This paper cites However, these sets are chosen as constant values through the simulation and do not adapt to dynamic changes including laminar- turbulent transition.
Machine Learning Enhanced Collision Operator for the Lattice Boltzmann Method Based on Invariant Networks However, these sets are chosen as constant values through the simulation and do not adapt to dynamic changes including laminar- turbulent transition
Reference 34
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T18:09:49.884637Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation e3839b14-8425-477b-bb83-a88b04f396c5 · outbound
This paper cites Investigation of a con- tinuous adjoint-based optimization procedure for aeroa- coustic control of plane jets.
Machine Learning Enhanced Collision Operator for the Lattice Boltzmann Method Based on Invariant Networks Investigation of a con- tinuous adjoint-based optimization procedure for aeroa- coustic control of plane jets
Reference 35
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T18:09:49.568765Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 8729ee96-261f-4b1b-8189-5d3c0ef67113 · outbound
This paper cites Group equivariant con- volutional networks.
Machine Learning Enhanced Collision Operator for the Lattice Boltzmann Method Based on Invariant Networks Group equivariant con- volutional networks
Reference 36
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T18:09:49.523037Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation ba63bd90-17d3-4a30-ab97-2263b9bdd4a3 · outbound
This paper cites Equivariant convolutional networks.
Machine Learning Enhanced Collision Operator for the Lattice Boltzmann Method Based on Invariant Networks Equivariant convolutional networks
Reference 37
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T18:09:49.513646Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 0678a111-e072-4b4a-b0c3-7acf8805215c · outbound
This paper cites Linear and brute force stability of orthogonal moment multiple-relaxation- time lattice boltzmann methods applied to homogeneous isotropic turbulence.
Machine Learning Enhanced Collision Operator for the Lattice Boltzmann Method Based on Invariant Networks Linear and brute force stability of orthogonal moment multiple-relaxation- time lattice boltzmann methods applied to homogeneous isotropic turbulence
Reference 38
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T18:09:49.542085Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 497a9f70-7a29-487f-ac4f-e9e8e0958b59 · outbound
This paper cites This method in- volves a force function ˆFα (k, t) in a Fourier space that distributes the force across a range of small wave num- bers facilitated by randomly generated phases.
Machine Learning Enhanced Collision Operator for the Lattice Boltzmann Method Based on Invariant Networks This method in- volves a force function ˆFα (k, t) in a Fourier space that distributes the force across a range of small wave num- bers facilitated by randomly generated phases
Reference 39
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T18:09:49.864023Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation d0a40c7e-4c06-4b38-af53-0ca4706f9ea8 · outbound
This paper cites On equations of state in a lat- tice boltzmann method.
Machine Learning Enhanced Collision Operator for the Lattice Boltzmann Method Based on Invariant Networks On equations of state in a lat- tice boltzmann method
Reference 40
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T18:09:49.533424Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 1ed4dd52-b640-493e-bba0-5726ef0fb9f5 · outbound
This paper cites Fiorina and S.
Machine Learning Enhanced Collision Operator for the Lattice Boltzmann Method Based on Invariant Networks Fiorina and S
Reference 41
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T18:09:49.473592Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 613fcb6d-d322-4171-93a5-cbb2a775bf42 · outbound
This paper cites Comments on the Kolmogorov hypothe- sis of local isotropy in the smallscales.
Machine Learning Enhanced Collision Operator for the Lattice Boltzmann Method Based on Invariant Networks Comments on the Kolmogorov hypothe- sis of local isotropy in the smallscales
Reference 42
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T18:09:49.503287Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 837a975a-dcb8-48e2-9c95-50fe22082220 · outbound
This paper cites Random forcing of three-dimensional homogeneous turbulence.
Machine Learning Enhanced Collision Operator for the Lattice Boltzmann Method Based on Invariant Networks Random forcing of three-dimensional homogeneous turbulence
Reference 43
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T18:09:49.493159Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 980e4e25-fdb1-4f60-a2e4-0513400f15c6 · outbound
This paper cites Mathew, H.
Reference 44
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T18:09:49.483365Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 285630d4-8bc6-4cee-9dbe-7f4c92d8d6df · outbound
This paper cites an unresolved cited work.
Machine Learning Enhanced Collision Operator for the Lattice Boltzmann Method Based on Invariant Networks Unresolved cited work
Reference 45
- Resolution
- unresolved
- raw_fallback, observed 2026-08-11T18:09:49.435155Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 57c0bfec-435c-4e51-b77b-d0c3c7c333c5 · outbound
This paper cites Lattice Boltzmann method with regularized pre-collision distribution func- tions.
Machine Learning Enhanced Collision Operator for the Lattice Boltzmann Method Based on Invariant Networks Lattice Boltzmann method with regularized pre-collision distribution func- tions
Reference 46
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T18:09:49.464120Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 55f42735-634f-4f5f-8b75-893be1ce246d · outbound
This paper cites Stolz and N.A.
Machine Learning Enhanced Collision Operator for the Lattice Boltzmann Method Based on Invariant Networks Stolz and N.A
Reference 47
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T18:09:49.454182Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation cd0ad254-1d4f-452b-947c-6a3efc7a948b · outbound
This paper cites Mathew, R.
Reference 48
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T18:09:49.443869Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 07f5474c-6886-4e1f-b9b4-6f105a97152f · outbound
This paper cites High-order cfd methods: current status and perspective.
Machine Learning Enhanced Collision Operator for the Lattice Boltzmann Method Based on Invariant Networks High-order cfd methods: current status and perspective
Reference 49
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T18:09:49.395596Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 86fbdc79-e2dd-45ba-9e1a-37b17c256aff · outbound
This paper cites The fundamental bgk operator calculates the predicted profiles with con- siderable accuracy but lacks stability when the flow field becomes turbulent.
Machine Learning Enhanced Collision Operator for the Lattice Boltzmann Method Based on Invariant Networks The fundamental bgk operator calculates the predicted profiles with con- siderable accuracy but lacks stability when the flow field becomes turbulent
Reference 50
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T18:09:49.855383Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 314bc63f-4fda-4876-8535-4c40cfc19fa3 · outbound
This paper cites A comparison of second- and sixth-order methods for large-eddy simulations.
Machine Learning Enhanced Collision Operator for the Lattice Boltzmann Method Based on Invariant Networks A comparison of second- and sixth-order methods for large-eddy simulations
Reference 51
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T18:09:49.425777Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 6a74e748-8a85-4e43-bafd-39891f21d146 · outbound
This paper cites Cambridge University Press, 2007.
Machine Learning Enhanced Collision Operator for the Lattice Boltzmann Method Based on Invariant Networks Cambridge University Press, 2007
Reference 52
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T18:09:49.415458Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 46d6b88a-2e4c-494c-868b-d63a29fd3e7a · outbound
This paper cites Implicit Large-Eddy Simulation: Theory and Application , pages 743–750.
Machine Learning Enhanced Collision Operator for the Lattice Boltzmann Method Based on Invariant Networks Implicit Large-Eddy Simulation: Theory and Application , pages 743–750
Reference 53
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T18:09:49.405753Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation ae23abbe-9c5e-45bc-99bd-361f87513457 · outbound
This paper cites Small-scale structure of the taylor–green vortex.
Machine Learning Enhanced Collision Operator for the Lattice Boltzmann Method Based on Invariant Networks Small-scale structure of the taylor–green vortex
Reference 54
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T18:09:49.384914Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 29b883f3-7600-4e81-aa7f-abcea9f0feb9 · outbound
This paper cites An immersed boundary method for complex incompressible flows.
Machine Learning Enhanced Collision Operator for the Lattice Boltzmann Method Based on Invariant Networks An immersed boundary method for complex incompressible flows
Reference 55
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T18:09:49.374797Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation a71283a4-b210-438d-b2f4-99a19700af2c · outbound
This paper cites Numerical study and physical analysis of the pressure and velocity fields in the near wake of a circular cylinder.
Machine Learning Enhanced Collision Operator for the Lattice Boltzmann Method Based on Invariant Networks Numerical study and physical analysis of the pressure and velocity fields in the near wake of a circular cylinder
Reference 56
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T18:09:49.365101Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation a42e035c-1baf-4aea-9fb1-26f866263f11 · outbound
This paper cites A cartesian grid method for modeling multiple moving objects in 2d incompress- ible viscous flow.
Machine Learning Enhanced Collision Operator for the Lattice Boltzmann Method Based on Invariant Networks A cartesian grid method for modeling multiple moving objects in 2d incompress- ible viscous flow
Reference 57
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T18:09:49.353403Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation de6f5a14-7a39-40ad-963e-c31d472cea63 · outbound
This paper cites A novel immersed boundary velocity correction–lattice boltz- mann method and its application to simulate flow past a circular cylinder.
Machine Learning Enhanced Collision Operator for the Lattice Boltzmann Method Based on Invariant Networks A novel immersed boundary velocity correction–lattice boltz- mann method and its application to simulate flow past a circular cylinder
Reference 58
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T18:09:49.219514Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 768e7ec7-61d8-4aeb-8eb0-582c8dfa2d0e · outbound
This paper cites Preconditioned multigrid methods for unsteady incompressible flows.
Machine Learning Enhanced Collision Operator for the Lattice Boltzmann Method Based on Invariant Networks Preconditioned multigrid methods for unsteady incompressible flows
Reference 59
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T18:09:49.209187Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation a613cc5b-84f8-46d1-8ab1-d64c153b6c17 · outbound
This paper cites An edge-based method for the incompressible navier–stokes equations on polygonal meshes.
Machine Learning Enhanced Collision Operator for the Lattice Boltzmann Method Based on Invariant Networks An edge-based method for the incompressible navier–stokes equations on polygonal meshes
Reference 60
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T18:09:49.197605Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 814ec784-c9d9-43c9-9d9d-ebae84d82c91 · outbound
This paper cites Characteristics of the plane turbulent near wake of a circular cylinder.
Machine Learning Enhanced Collision Operator for the Lattice Boltzmann Method Based on Invariant Networks Characteristics of the plane turbulent near wake of a circular cylinder
Reference 61
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T18:09:49.185945Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Pith citing papers
No inbound Pith citation observations are available.