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Record W4414723620 · doi:10.1016/j.cpc.2025.109880

Lethe 1.0: An open-source parallel high-order computational fluid dynamics software framework for single and multiphase flows

2025· article· en· W4414723620 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueComputer Physics Communications · 2025
Typearticle
Languageen
FieldEngineering
TopicFluid Dynamics and Turbulent Flows
Canadian institutionsPolytechnique Montréal
FundersNatural Sciences and Engineering Research Council of CanadaCanada Research Chairs
KeywordsSoftwareComputational fluid dynamicsFluid dynamicsSoftware frameworkDynamics (music)

Abstract

fetched live from OpenAlex

Lethe is an open-source Computational Fluid Dynamics (CFD) software framework with extensive multiphase and multiphysics capabilities. By leveraging the deal.II open-source framework, Lethe finite element solvers scale well on modern high-performance computers while possessing advanced features such as dynamic mesh adaptation, load-balancing, isoparametric high-order capabilities, and a fully-fledged Discrete Element Method (DEM) module. To facilitate contributions from the community, Lethe is extensively tested with continuous integration using over 450 unit and functional tests. Furthermore, Lethe contains 74 fully documented examples with pre-processing and post-processing steps to allow users to learn how to rapidly use and modify the framework. In this article, we give an overview of the simulation models available within Lethe and illustrate these capabilities with a selected list of examples including turbulent and multiphase flows. Program summary Program Title: Lethe CPC Library link to program files: https://doi.org/10.17632/mc5trb4kd3.1 Developer's repository link: https://github.com/chaos-polymtl/lethe Licensing provisions: Apache-2.0 Programming language: C++ Nature of problem: Single-phase incompressible flows of Newtonian and generalized Newtonian fluids. Granular flows of cohesive or non-cohesive spherical particles. Multiphase flows, including particle-laden (solid-liquid and solid-gas) flows and fluid-fluid (gas-liquid and liquid-liquid) flows. Multiphysics coupling with heat transfer. Solution method: Lethe uses stabilized continuous Galerkin finite element formulations to solve the incompressible Navier-Stokes equations and other partial differential equations. Lethe utilizes the DEM to simulate granular flows. For particle-laden flow simulations, Lethe uses an unresolved CFD-DEM approach for flows containing numerous spherical particles ( > 10 3 ), while a resolved CFD-DEM approach is used for flows with few spherical or non-spherical particles (<100). For gas-liquid and liquid-liquid flows, Volume of Fluid (VOF) or Cahn–Hilliard (CH) models are used. Additional comments including restrictions and unusual features: Lethe possesses both matrix-based and matrix-free CFD solvers for incompressible flows. The matrix-free solver efficiently simulates larger problem sizes with more than 1B unknowns, but only supports hexahedral (structured or unstructured) meshes, whereas the matrix-based solver supports both tetrahedral and hexahedral meshes. Lethe also supports dynamic mesh adaptation and load-balancing for hexahedral meshes. The load-balancing capabilities can also be used within the DEM and CFD-DEM modules and the CFD-DEM coupling.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Methods · Consensus signal: Methods
Teacher disagreement score0.194
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.021
GPT teacher head0.271
Teacher spread0.250 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it