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GAMMAO - 2025

2025Activity reportProject-Team‌GAMMAO

RNSR: 202324396X
  • Research‌​‌ center Inria Saclay Centre​​
  • In partnership with:Office​​​‌ national d'études et de‌ recherches aérospatiales
  • Team name:‌​‌ Adaptive Mesh Generation and​​ Advanced Numerical Methods

Creation​​​‌ of the Project-Team: 2023‌ January 01

Each year,‌​‌ Inria research teams publish​​ an Activity Report presenting​​​‌ their work and results‌ over the reporting period.‌​‌ These reports follow a​​ common structure, with some​​​‌ optional sections depending on‌ the specific team. They‌​‌ typically begin by outlining​​ the overall objectives and​​​‌ research programme, including the‌ main research themes, goals,‌​‌ and methodological approaches. They​​ also describe the application​​​‌ domains targeted by the‌ team, highlighting the scientific‌​‌ or societal contexts in​​ which their work is​​​‌ situated.

The reports then‌ present the highlights of‌​‌ the year, covering major​​ scientific achievements, software developments,​​​‌ or teaching contributions. When‌ relevant, they include sections‌​‌ on software, platforms, and​​ open data, detailing the​​​‌ tools developed and how‌ they are shared. A‌​‌ substantial part is dedicated​​ to new results, where​​​‌ scientific contributions are described‌ in detail, often with‌​‌ subsections specifying participants and​​ associated keywords.

Finally, the​​​‌ Activity Report addresses funding,‌ contracts, partnerships, and collaborations‌​‌ at various levels, from​​ industrial agreements to international​​​‌ cooperations. It also covers‌ dissemination and teaching activities,‌​‌ such as participation in​​ scientific events, outreach, and​​​‌ supervision. The document concludes‌ with a presentation of‌​‌ scientific production, including major​​ publications and those produced​​​‌ during the year.

Keywords‌

Computer Science and Digital‌​‌ Science

  • A6.2. Scientific computing,​​​‌ Numerical Analysis & Optimization​
  • A6.2.7. HPC for machine​‌ learning
  • A6.2.8. Computational geometry​​ and meshes
  • A6.5.1. Solid​​​‌ mechanics
  • A6.5.2. Fluid mechanics​

Other Research Topics and​‌ Application Domains

  • B5.2.3. Aviation​​
  • B5.2.4. Aerospace
  • B9.5.1. Computer​​​‌ science
  • B9.5.2. Mathematics
  • B9.5.3.​ Physics
  • B9.5.5. Mechanics

1​‌ Team members, visitors, external​​ collaborators

Research Scientists

  • Frederic​​​‌ Alauzet [Team leader​, INRIA, Senior​‌ Researcher, HDR]​​
  • Alain Dervieux [INRIA​​​‌, Emeritus, from​ Apr 2025, HDR​‌]
  • Paul George [​​INRIA, Emeritus]​​​‌
  • Cosimo Tarsia Morisco [​INRIA, ISFP,​‌ from Oct 2025]​​
  • Julien Vanharen [INRIA​​​‌, Senior Researcher]​

Post-Doctoral Fellow

  • Cosimo Tarsia​‌ Morisco [INRIA,​​ Post-Doctoral Fellow, until​​​‌ Sep 2025]

PhD​ Students

  • Thomas Gauchery [​‌INRIA]
  • Andrea Gobbi​​ [INRIA]
  • Valentin​​​‌ Golliet [ONERA]​
  • Eloi Guilbert [INRIA​‌]
  • Paolo Masson [​​INRIA, from Oct​​​‌ 2025]

Technical Staff​

  • Loic Marechal [INRIA​‌, Engineer]
  • Matthieu​​ Maunoury [INRIA,​​​‌ Engineer]

Interns and​ Apprentices

  • Julie Chineaud [​‌INRIA, Intern,​​ from Jun 2025 until​​​‌ Aug 2025]
  • Paolo​ Masson [INRIA,​‌ Intern, from Feb​​ 2025 until Jul 2025​​​‌]

Administrative Assistant

  • Melanie​ Da Silva [INRIA​‌]

External Collaborators

  • Francois​​ Pechereau [ONERA,​​​‌ from Sep 2025]​
  • Francois Pechereau [ONERA​‌, until Aug 2025​​]
  • Christophe Peyret [​​​‌ONERA]
  • Guillaume Puigt​ [ONERA]

2​‌ Overall objectives

     Numerical simulation​​ has been booming over​​​‌ the last thirty years,​ thanks to increasingly powerful​‌ numerical methods, computer-aided design​​ (CAD) and the mesh​​​‌ generation for complex 3D​ geometries, and the coming​‌ of supercomputers (HPC). The​​ discipline is now mature​​​‌ and has become an​ integral part of design​‌ in science and engineering​​ applications. This new status​​​‌ has led scientists and​ engineers to consider numerical​‌ simulation of problems with​​ ever increasing geometrical and​​​‌ physical complexities. A simple​ observation of this chart​‌

CAD Mesh ⟶​​ Solver Visualization /​​​‌ Analysis .

shows: no​ mesh = no simulation​‌ along with "bad" mesh​​ = wrong simulation.​​​‌ We have concluded that​ the mesh is at​‌ the core of the​​ classic computational pipeline and​​​‌ a key component to​ significant improvements. Therefore, the​‌ requirements on meshing methods​​ are an ever increasing​​​‌ need, with increased difficulty,​ to produce high quality​‌ meshes to enable reliable​​ solution output predictions in​​​‌ an automated manner. These​ requirements on meshing or​‌ equivalent technologies cannot be​​ removed and all approaches​​​‌ face similar issues.

Gamma's​ research program is motivated​‌ by four grand challenges​​ in order to achieve​​​‌ certification and high-fidelity in​ the numerical simulation pipeline.​‌ The goal is to​​ deliver innovative and ground-breaking​​​‌ solutions to each step​ of the adaptive numerical​‌ simulation pipeline. Not surprisingly,​​ these challenges (and the​​​‌ themes that result) are​ clearly indicated in the​‌ NASA CFD Vision 2030​​ Study 33 and have​​​‌ been mentioned recurrently during​ the previous evaluations of​‌ the Gamma3 team where​​ they have been judged​​ as very ambitious and​​​‌ long-term. The four grand‌ challenges are:

1. Geometric‌​‌ modeling. The goal is​​ to address geometry modeling​​​‌ issues and their interactions‌ with the meshing pipeline.‌​‌ To this end, Gamma​​ will develop more versatile​​​‌ and robust geometry and‌ modeling processes to be‌​‌ embedded within meshing tools.​​

2. Enhanced generic meshing​​​‌ algorithms. Gamma will pursue‌ its work on state-of-the-art‌​‌ meshing technologies which should​​ fulfill these three requirements:​​​‌ adaptation, high-order and large‌ size. Mesh adaptation and‌​‌ high-order meshing will be​​ based on the well-posed​​​‌ metric-based mathematical framework. The‌ generation of large size‌​‌ mesh will be achieved​​ with hybrid parallelism (multi-thread​​​‌ and MPI).

3. Toward‌ certified numerical solutions to‌​‌ the Navier-Stokes equations. This​​ research axis will focus​​​‌ on error estimates and‌ robust numerical schemes (flow‌​‌ solver). Gamma will primarily​​ focus on the design​​​‌ of uncertainty aware RANS‌ error estimates. We will‌​‌ pursue the work on​​ anisotropic mesh adaptation for​​​‌ the turbulent Navier-Stokes equations‌ with moving geometries. We‌​‌ envision to develop a​​ new high-order mesh-adaptive solution​​​‌ platform which requires to‌ design high-order error estimates‌​‌ and a high-order flow​​ solver.

4. Advanced visualization​​​‌ of mesh and solution.‌ High-order representations (both on‌​‌ the solver and meshing​​ sides) use higher-degree polynomials​​​‌ to interpolate solution data.‌ The challenge is to‌​‌ develop algorithms for pixel​​ exact rendering of high-order​​​‌ meshes and solutions which‌ will provide the potential‌​‌ to reveal features that​​ otherwise might be masked​​​‌ by classic visualization approaches.‌ The visualization software will‌​‌ be used for pre​​ and post processing by​​​‌ interfacing all the Gamma's‌ software components.

These four‌​‌ grand challenges cover the​​ whole numerical simulation pipeline​​​‌ depicted below. The geometric‌ modeling is represented by‌​‌ the green part, the​​ enhanced generic meshing algorithms​​​‌ by the blue part,‌ the certification of Navier-Stokes‌​‌ simulations by the red​​ part, and the advanced​​​‌ mesh and solution visualization‌ by the brown part.‌​‌ We can also see​​ the clear interaction between​​​‌ each research axis.

Figure

Most‌ of the proposed meshing‌​‌ developments and technologies are​​ generic and can be​​​‌ applied to a broader‌ field of applications in‌​‌ order to increase the​​ impact of this research​​​‌ program. Flow solver developments‌ and technologies focus specifically‌​‌ on CFD with applications​​ to aerospace, turbomachinery, and​​​‌ defense.

3 Research program‌

The main axes are:‌​‌

  • Geometric Modeling:
    • High-fidelity discrete​​ CAD kernel.
    • Continuous parametric​​​‌ CAD kernel.
  • Enhanced Generic‌ Meshing Algorithm:
    • Adaptation (extreme‌​‌ anisotropy, metric-aligned, metric-orthogonal).
    • High-order​​ (tetrahedra, hexahedra, boundary layer,​​​‌ adapted).
    • Large meshes (tetrahedra,‌ hexahedra, adapted).
    • Moving mesh‌​‌ methods for moving geometries.​​
  • Toward Certified Solutions to​​​‌ the Navier-Stokes Equations:
    • Flow‌ solver and adjoints (Finite‌​‌ Volumes, Finite Elements, Flux​​ Reconstruction).
    • Error estimates and​​​‌ correctors.
  • Advanced Mesh and‌ Solution Visualisation:
    • Pixel exact‌​‌ rendering (High-Order mesh, High-Order​​ solution).
    • Pre-processing and post-processing.​​​‌

4 Application domains

Our‌ research in mesh generation,‌​‌ mesh adaptation and certification​​ of the Numerical Simulation​​​‌ Pipeline finds applications in‌ several different domains such‌​‌ as aviation and aerospace​​ but also all fields​​​‌ where computation and simulation‌ are used: fluid mechanics,‌​‌ solid mechanics, solving wave​​​‌ equations (acoustic, electromagnetism, etc.),​ energy or biomedical.

5​‌ Latest software developments, platforms,​​ open data

5.1 Latest​​​‌ software developments

5.1.1 GHS3D​

5.1.2​​​‌ HEXOTIC

  • Keywords:
    3D, Mesh​ generation, Meshing, Unstructured meshes,​‌ Octree/Quadtree, Multi-threading, GPGPU, GPU​​
  • Functional Description:

    Input: a​​​‌ triangulated surface mesh and​ an optional size map​‌ to control the size​​ of inner elements.

    Output:​​​‌ a fully hexahedral mesh​ (no hybrid elements), valid​‌ (no negative jacobian) and​​ conformal (no dangling nodes)​​​‌ whose surface matches the​ input geometry.

    The software​‌ is a simple command​​ line that requires no​​​‌ knowledge on meshing. Its​ arguments are an input​‌ mesh and some optional​​ parameters to control elements​​​‌ sizing, curvature and subdomains​ as well as some​‌ features like boundary layers​​ generation.

  • URL:
  • Contact:​​​‌
    Loic Marechal
  • Participant:
    Loic​ Marechal
  • Partner:
    Distene

5.1.3​‌ FEFLOA-REMESH

  • Keywords:
    Scientific calculation,​​ Anisotropic, Mesh adaptation
  • Functional​​​‌ Description:
    FEFLOA-REMESH is intended​ to generate adapted 2D,​‌ surface and volume meshes​​ by using a unique​​​‌ cavity-based operator. The metric-aligned​ or metric-orthogonal approach is​‌ used to generate high​​ quality surface and volume​​​‌ meshes independently of the​ anisotropy involved.
  • URL:
  • Contact:
    Adrien Loseille
  • Participants:​​
    Adrien Loseille, Frederic Alauzet​​​‌

5.1.4 Ouranos

  • Keywords:
    Scientific​ computing, Unstructured meshes, HPC,​‌ MPI
  • Functional Description:
    Ouranos​​ is an open-source LGPLv3​​​‌ C++ library that provides​ a framework for handling​‌ unstructured meshes in a​​ massively parallel environment, including​​​‌ mesh reading, partitioning, and​ migration. It offers a​‌ suite of MPI-aware services,​​ including a testing framework,​​​‌ a benchmarking framework, a​ logging system, distributed hash​‌ tables, automatic ghost management​​ with a user-defined number​​​‌ of layers, and automatic​ conversion between partitioned and​‌ distributed approaches.
  • URL:
  • Contact:
    Julien Vanharen

5.1.5​​​‌ ViZiR4

  • Name:
    ViZiR4
  • Keywords:​
    Visualization, Pixel-exact rendering, Instant​‌ rendering, High order methods​​
  • Functional Description:
    Its main​​​‌ features are: - Light,​ simple and interactive visualization​‌ software. - Surface and​​ volume (tetrahedra, pyramids, prisms,​​​‌ hexahedra) meshes. - Pixel​ exact rendering of high-order​‌ solutions on straight elements.​​ - Almost pixel exact​​​‌ rendering on curved elements​ (high-order meshes). - Post-processing​‌ tools, such as picking,​​ isolines, clipping, capping.
  • URL:​​​‌
  • Publications:
  • Contact:​‌
    Adrien Loseille
  • Participants:
    Adrien​​ Loseille, Matthieu Maunoury, Frederic​​​‌ Alauzet

5.1.6 Wolf-Metrix V3​

  • Keyword:
    Scientific computing
  • Scientific​‌ Description:
    Wolf-Metrix is a​​ software that provides by​​​‌ various ways metric to​ govern the mesh generation.​‌ Generally, these metrics are​​ constructed from error estimates​​​‌ (a priori or a​ posteriori) applied to the​‌ numerical solution. Wolf-Metrix computes​​ metric fields from scalar​​​‌ solutions by means of​ several error estimates: interpolation​‌ error, iso-lines error estimate,​​ interface error estimate and​​​‌ goal oriented error estimate.​ It also contains several​‌ modules that handle meshes​​ and metrics. For instance,​​​‌ it extracts the metric​ associated with a given​‌ mesh and it performs​​ some metric operations such​​​‌ as: metric gradation, metric​ interpolation and metric intersection.​‌
  • Functional Description:
    Wolf-Metrix is​​ a software that provides​​ by various ways metric​​​‌ to govern the mesh‌ generation. Generally, these metrics‌​‌ are constructed from error​​ estimates (a priori or​​​‌ a posteriori) applied to‌ the numerical solution. Wolf-Metrix‌​‌ computes metric fields from​​ scalar solutions by means​​​‌ of several error estimates:‌ interpolation error, iso-lines error‌​‌ estimate, interface error estimate​​ and goal oriented error​​​‌ estimate. It also contains‌ several modules that handle‌​‌ meshes and metrics. For​​ instance, it extracts the​​​‌ metric associated with a‌ given mesh and it‌​‌ performs some metric operations​​ such as: metric gradation,​​​‌ metric interpolation and metric‌ intersection.
  • URL:
  • Contact:‌​‌
    Frederic Alauzet
  • Participants:
    Frederic​​ Alauzet, Cosimo Tarsia Morisco,​​​‌ Julien Vanharen, Matthieu Maunoury,‌ Loic Marechal

5.1.7 Wolf-Nsc‌​‌ V3

  • Keyword:
    Scientific computing​​
  • Functional Description:
    Wolf-Nsc is​​​‌ numerical flow solver solving‌ steady or unsteady turbulent‌​‌ compressible Euler and Navier-Stokes​​ equations. The available turbulent​​​‌ models are the Spalart-Almaras‌ and the Menter SST‌​‌ k-omega. A mixed finite​​ volume - finite element​​​‌ numerical method is used‌ for the discretization. Second‌​‌ order spatial accuracy is​​ reached thanks to MUSCL​​​‌ type methods. Explicit or‌ implicit time integration are‌​‌ available. It also resolved​​ dual (adjoint) problem and​​​‌ compute error estimate for‌ mesh adaptation.
  • URL:
  • Contact:
    Frederic Alauzet
  • Participants:​​
    Frederic Alauzet, Cosimo Tarsia​​​‌ Morisco, Julien Vanharen, Matthieu‌ Maunoury, Loic Marechal

5.1.8‌​‌ Wolf-Interpol V3

  • Keyword:
    Scientific​​ computing
  • Functional Description:
    Wolf-Interpol​​​‌ is a tool to‌ transfer scalar, vector and‌​‌ tensor fields from one​​ mesh to another one.​​​‌ Polynomial interpolation (from order‌ 2 to 4) or‌​‌ conservative interpolation operators can​​ be used. Wolf-Interpol also​​​‌ extract solutions along lines‌ or surfaces.
  • URL:
  • Contact:
    Frederic Alauzet
  • Participants:​​
    Frederic Alauzet, Cosimo Tarsia​​​‌ Morisco, Julien Vanharen, Matthieu‌ Maunoury, Loic Marechal

6‌​‌ New results

6.1 Practical​​ Use of Metric-Based Anisotropic​​​‌ Mesh Adaptation for Industrial‌ Applications

Participants: Cosimo Tarsia‌​‌ Morisco, Eloi Guilbert​​, Matthieu Maunoury,​​​‌ Frederic Alauzet [correspondant].‌

Feature-based and goal-oriented error‌​‌ estimates for the Reynolds-Averaged​​ Navier-Stokes equations are presented,​​​‌ together with mesh adaptation‌ algorithms for practical study‌​‌ where mesh convergence analysis​​ is mandatory. Several useful​​​‌ results, associated with the‌ errors estimates are demonstrated‌​‌ such as the equidistribution​​ principle, handling several sensors​​​‌ or treating multidomain problems.‌ Numerical results on three‌​‌ industrial application cases highlight​​ the powerfulness of anisotropic​​​‌ mesh adaptation to achieve‌ high-accuracy with moderate mesh‌​‌ size. They demonstrate that​​ mesh-independent certified numerical solutions​​​‌ can be obtained thanks‌ to anisotropic mesh adaptation‌​‌ and that it is​​ possible to run high-fidelity​​​‌ CFD on unstructured adapted‌ meshes composed only of‌​‌ tetrahedra which is fundamental​​ to design robust meshing​​​‌ process for complex geometries.‌

6.2 Assessment of Spalart-Allmaras‌​‌ One-equation BCM Transitional Model​​ using anisotropic metric-based mesh​​​‌ adaptation

Participants: Cosimo Tarsia‌ Morisco [correspondant], Frederic‌​‌ Alauzet.

The intent​​ of this work is​​​‌ to investigate whether the‌ Anisotropic Metric-Based mesh adaptation‌​‌ can provide mesh convergence​​ for transitional flows. The​​​‌ model considered is the‌ Spalart-Allmaras BCM Transitional Model.‌​‌ Three test cases of​​ the 1st AIAA CFD​​​‌ Transition Modeling and Prediction‌ Workshop are considered: two-dimensional‌​‌ Zero-Pressure-Gradient Flat Plate; two-dimensional​​​‌ subsonic flow past the​ NLF-0416 airfoil; three-dimensional subsonic​‌ flow past the 6:1​​ Prolate Spheroid. Attention is​​​‌ dedicated to the mesh-convergence​ of the transition point,​‌ which is automatically detected​​ and meshed with low​​​‌ level of anisotropy. Conversely,​ high level of anisotropy​‌ is observed before and​​ after transition. These requirements​​​‌ permit to significantly limit​ the number of Degrees​‌ of Freedom.

6.3 Applications​​ of Implicit Edge-Based Gradients​​​‌ to Third-Order Edge-Based Scheme​ for Adaptive Tetrahedral Grids.​‌

Participants: Cosimo Tarsia Morisco​​ [correspondant], Hiroaki Nishikawa​​​‌.

We investigated the​ use of the implicit​‌ edge-based gradient method to​​ a third-order edge-based Euler​​​‌ solver on adaptive tetrahedral​ grids. The third-order edgebased​‌ method is an economical​​ high-order discretization method, typically​​​‌ implemented with a quadratic​ least-squares gradient method, achieving​‌ third-order accuracy on arbitrary​​ tetrahedral grids. For robustness,​​​‌ however, the least-squares gradient​ stencil often needs to​‌ be extended beyond neighbors,​​ which not only increases​​​‌ the cost of gradient​ computations but also increases​‌ the error level. To​​ preserve high accuracy and​​​‌ maintain robustness, we employ​ the implicit edge-based gradient​‌ method instead of a​​ quadratic least-squares method, and​​​‌ investigate the performance of​ the resulting third-order solver​‌ with a special focus​​ on adaptive grids.

6.4​​​‌ 5th AIAA CFD High​ Lift Prediction Workshop Results​‌ Using Metric-Based Anisotropic Mesh​​ Adaptation.

Participants: Frederic Alauzet​​​‌ [correspondant], Thomas Gauchery​, Matthieu Maunoury,​‌ Cosimo Tarsia Morisco,​​ Sylvain Mouton.

We​​​‌ performed Computational Fluid Dynamics​ (CFD) analyses with the​‌ Inria metric-based mesh adaptation​​ platform for the 5th​​​‌ AIAA CFD High-Lift Prediction​ Workshop (HLPW-5) on the​‌ Common Research Model High-Lift​​ (CRM-HL) geometry. The HLPW-5​​​‌ is organized to assess​ the numerical prediction and​‌ physical modeling capabilities of​​ CFD technology on a​​​‌ realistic aircraft shape in​ landing and takeoff high​‌ lift configurations. Multiple CRM-HL​​ variants with increasing geometry​​​‌ complexity are the target​ of this investigation. This​‌ work shows the obtained​​ results for Case 1​​​‌ and all the Cases​ 2 geometries proposed by​‌ the workshop for RANS​​ modeling with the baseline​​​‌ Spalart-Allmaras (SA) turbulence model.​ Validation and verification results​‌ are presented with mesh​​ convergence study for some​​​‌ of the test cases​ and comparison with experimental​‌ data.

6.5 Reviewing the​​ Vertex-Centered V4 Scheme for​​​‌ More Accurate Mesh Adaptation.​

Participants: Yoan Gorschka,​‌ Guillaume Puigt [correspondant],​​ Alberto Remigi, Cedric​​​‌ Content, Bruno Maugars​, Cosimo Tarsia Morisco​‌.

In this study,​​ we focus on the​​​‌ V4 vertex-centered finite volume​ scheme developed initialy by​‌ A. Dervieux. This scheme​​ has shown very high​​​‌ robustness on highly anisotropic​ meshes, with an anisotropy​‌ factor of the order​​ of a million. This​​​‌ is why it is​ today one of the​‌ preferred schemes for anisotropic​​ mesh adaptation. In our​​​‌ work, we propose two​ approaches for improving the​‌ vertex-centered V4 scheme for​​ more accurate mesh adaptation.​​​‌ On the one hand,​ we tackle the problems​‌ associated with deconvolution. On​​ the other, we look​​​‌ at the geometric error​ made when calculating convective​‌ flux. We propose a​​ new correction based on​​ the derivative of the​​​‌ numerical flux and the‌ mesh metrics. Several deconvolution‌​‌ approaches are studied on​​ stationary cases.

6.6 From​​​‌ simplex to mixed element:‌ extension of a vertex-centered‌​‌ discretization, focus on accuracy​​ analysis and 3D RANS​​​‌ applications.

Participants: Cosimo Tarsia‌ Morisco [correspondant], Frederic‌​‌ Alauzet, Guillaume Puigt​​.

Standard unstructured-grid CFD​​​‌ simulations generally rely on‌ a cell-centered Finite Volume‌​‌ discretization applied to mixed-element​​ grids. The interest in​​​‌ such approach is using‌ elements that are aligned‌​‌ along a privileged direction​​ in the region close​​​‌ to the boundary, and‌ at the same time‌​‌ unstructured elements near complex​​ geometrical details or in​​​‌ farfield regions. This paper‌ proposes a novel version‌​‌ of the mixed Finite​​ Element / Finite Volume​​​‌ approximation, which is a‌ vertex-centered method known to‌​‌ produce second-order accurate solutions​​ even on highly anisotropic​​​‌ adapted meshes composed of‌ simplex elements (i.e., triangles‌​‌ and tetrahedra). The extension​​ of this approach for​​​‌ two-dimensional mixed-element meshes involves‌ the APproximated Finite Element‌​‌ -APFE- method to discretize​​ diffusion. In this work​​​‌ we make the definitive‌ step forward to handle‌​‌ three-dimensional mixedelement meshes: designing​​ a second-order accurate scheme​​​‌ for smooth meshes involving‌ tetrahedra, prisms and pyramids.‌​‌ The present work focuses​​ on two key aspects.​​​‌ One concerns the 3D‌ extension of the APFE‌​‌ method. A detailed error​​ analysis of this vertex-centered​​​‌ approach is provided for‌ prisms and pyramids. The‌​‌ second ingredient deals with​​ an innovative algorithm to​​​‌ compute the truncation error‌ for linear problems. In‌​‌ contrast to usual methods,​​ the one proposed here​​​‌ permits to compute exactly‌ the coefficients related to‌​‌ each terms of error​​ for any mesh, and​​​‌ can be implemented in‌ any solver with a‌​‌ low development effort.

6.7​​ Metric-based mesh adaptation for​​​‌ hypersonic flows

Participants: Guillaume‌ Puigt [correspondant], Valentin‌​‌ Golliet, Frederic Alauzet​​.

Reentry is the​​​‌ capability of an object‌ launched from Earth to‌​‌ leave Earth’s atmosphere and​​ then come again. During​​​‌ reentry at the hypersonic‌ regime, the object encounters‌​‌ essentially two energetic phenomena:​​ a strong bow shock​​​‌ and the transformation of‌ kinetic velocity into heat‌​‌ in the boundary layer.​​ The most important quantity​​​‌ to compute is the‌ wall heat flux since‌​‌ dimensioning the object requires​​ good confidence in its​​​‌ computation. Heat flux in‌ the boundary layer varies‌​‌ mainly in the direction​​ normal to the wall.​​​‌ So, a standard prerequisite‌ is the definition of‌​‌ a mesh with mesh​​ lines perpendicular to the​​​‌ wall. The technique cannot‌ be applied successfully to‌​‌ complex geometry because the​​ required human resources are​​​‌ larger. On the other‌ hand, unstructured grids are‌​‌ generated automatically, even on​​ complex geometry. In this​​​‌ work, we introduce a‌ metric-based mesh adaptation procedure.‌​‌ Contrary to standard computation,​​ the mesh adaptation procedure​​​‌ converges the couple mesh‌ and solution. The automaticity‌​‌ of the process relies​​ on specific ingredients: a​​​‌ CFD solver robust on‌ anisotropic meshes composed of‌​‌ simplexes (triangles in 2D​​ and tetrahedrons in 3D)​​​‌ an error estimate procedure‌ to define the metrics‌​‌ for generating the new​​​‌ mesh a mesh generator​ method to build the​‌ mesh from metrics an​​ interpolation algorithm to interpolate​​​‌ the previous solution on​ the new mesh. The​‌ full procedure is applied​​ using a node-centered solver,​​​‌ and the remesher is​ the library feflo.a from​‌ Inria. The efficiency of​​ the mesh adaptation procedure​​​‌ will be demonstrated on​ test cases of increasing​‌ complexity. Laminar hypersonic flow​​ over a cylinder at​​​‌ Mach=5.73 and Re=2050. Comparison​ between error estimate efficiency.​‌ Edney Type IV shock/shock​​ interaction. Effect of geometry.​​​‌ Holden compression ramps. 2D/3D​ effects BOLT and HyTRV​‌ configurations. Pure 3D configurations.​​ The metric-based mesh adaptation​​​‌ is an automatic computational​ chain. It enables efficient​‌ capturing of wall heat​​ flux and highlights model​​​‌ limits, with a limited​ human being influence. We​‌ are currently extending the​​ procedure to deal with​​​‌ reactive flows.

6.8 Pixel-exact​ rendering for high-order meshes​‌ and solutions

Participants: Adrien​​ Loseille, Matthieu Maunoury​​​‌ [correspondant].

We are​ developing ViZiR 4,​‌ a visualization software with​​ pixel exact rendering to​​​‌ address the high-order visualization​ challenges 23, 5​‌. ViZiR 4 is​​ bundled as a light,​​​‌ simple and interactive high-order​ meshes and solutions visualization​‌ software. It is based​​ on OpenGL 4 core​​​‌ graphic pipeline. The use​ of OpenGL Shading Language​‌ (GLSL) allows to perform​​ pixel exact rendering of​​​‌ high order solutions on​ straight elements (without extra​‌ subdivision or ray casting)​​ and almost pixel exact​​​‌ rendering on curved elements​ (high-order meshes). ViZiR 4​‌ enables the representation of​​ high order meshes (up​​​‌ to degree 4) and​ high order solutions (up​‌ to degree 10) with​​ pixel exact rendering. Unlike​​​‌ other visualization software (ParaView​ 17, TecPlot 18​‌, Medit 7,​​ Vizir (OpenGL legacy based​​​‌ version) 25, Gmsh​ 15), there is​‌ no subdivision process that​​ is expensive nor visualization​​​‌ error that has to​ be controlled. Moreover, the​‌ subdivision of the curved​​ entities is done on​​​‌ the fly on GPU​ which leaves the RAM​‌ memory footprint at the​​ size of the loaded​​​‌ mesh. Furthermore, in comparison​ with standard visualization techniques​‌ based on legacy OpenGL,​​ the use of OpenGL​​​‌ 4 core version improves​ the speed of rendering,​‌ reduces the memory footprint​​ and increases the flexibility.​​​‌ Many post-processing tools, such​ as picking, hidding surfaces,​‌ isolines, clipping, capping, are​​ integrated to enable on​​​‌ the fly the analysis​ of the numerical results.​‌

6.9 Easy multithreaded parallelisation​​ of solvers dealing with​​​‌ unstructured and anisotropic meshes​

Participants: Loïc Maréchal.​‌

The previous year experimentations​​ with colored grains partitioning​​​‌ have proved successful so​ this new concurrent computing​‌ scheme has been integrated​​ into the production version​​​‌ of the LPlib.​ A new high-level API​‌ has been developed to​​ take care of all​​​‌ partitioning and renumbering aspects​ of a single procedure​‌ call. Likewise, the whole​​ colored-based parallelism is handled​​​‌ by a single procedure​ call that processes each​‌ color sequentially and all​​ of the color's subdomains​​​‌ (grains) concurrently. Thanks to​ its integration in the​‌ LPlib, the colored-grain method​​ now benefits from the​​ library's dynamic scheduling capacity​​​‌ to avoid costly synchronizations‌ and allows for concurrency‌​‌ levels that are closer​​ to the theoretical limit.​​​‌ This new approach and‌ the associated code have‌​‌ been validated on several​​ examples and the results​​​‌ have been presented and‌ published at the AIAA‌​‌ conference. Furthermore, this new​​ high-level API was also​​​‌ used to renumber the‌ meshes using the original‌​‌ Hilbert scheme, making the​​ integration of the LPlib​​​‌ even more straightforward.

6.10‌ INRIA HPC developers day‌​‌

Participants: Loïc Maréchal,​​ Luca Cirrotola, Alexandre​​​‌ Bilger, Florent Pruvost‌, Nathalie Furmento.‌​‌

In October 2025 we​​ organized a two-day event​​​‌ in Bordeaux to gather‌ many INRIA's engineers developing‌​‌ numerical simulation software. This​​ event was aimed at​​​‌ building a closer community‌ as all engineers are‌​‌ scattered between different teams​​ and INRIA facilities across​​​‌ the country. Talks were‌ given on topics covering‌​‌ many aspects of HPC​​ software development like, CI/CD,​​​‌ portability of numerical accuracy,‌ data structures and best‌​‌ practices. Round tables were​​ organized to discuss and​​​‌ address common issues like‌ mutualizing linear algebra toolkits‌​‌ or exchanging experiences with​​ new programing languages.

6.11​​​‌ Addition of Mixing Plane‌ in Wolf

Participants: Frédéric‌​‌ Alauzet, Eloi Guilbert​​ [correspondant].

The mixing​​​‌ plane method is used‌ typically on turbomachinery in‌​‌ order to model the​​ interaction between a rotor​​​‌ (rotating part) and a‌ stator (static part). Each‌​‌ row (stator, rotor) has​​ its own computation which​​​‌ is coupled with his‌ surroundings rows with the‌​‌ mixing plane. The idea​​ is to average quantities​​​‌ along the pitch direction‌ at the outlet of‌​‌ a row, those averaged​​ values are transferred to​​​‌ the next row. The‌ same process is done‌​‌ at the inlet of​​ a row and transferred​​​‌ at the previous row.‌ Associating mesh adaptation with‌​‌ mixing planes requires that​​ the position and the​​​‌ distribution radial discretization must‌ be automatic and consistent‌​‌ with the current adapted​​ mesh. Therefore, after each​​​‌ mesh adaptation, a specific‌ radial discretization for the‌​‌ mixing plane is built​​ based on the current​​​‌ adapted mesh size. These‌ radial discretizations are different‌​‌ on either side of​​ the mixing plane as​​​‌ the adapted meshes do‌ not match on either‌​‌ side. It allows removing​​ the dependency of the​​​‌ results on the relative‌ position between the rotor‌​‌ and the stator. Thus,​​ RANS simulation can be​​​‌ used, even if the‌ problem is naturally unsteady.‌​‌

6.12 Localized flux limiting​​ for Mixed Element Volume​​​‌ scheme on anisotropic adapted‌ meshes

Participants: Frédéric Alauzet‌​‌, Julien Vanharen,​​ Andrea Gobbi [correspondant].​​​‌

We are working on‌ decreasing the amount of‌​‌ numerical dissipation introduced by​​ flux limiters in a​​​‌ Mixed Element Volume (MEV)‌ scheme, that uses MUSCL‌​‌ extrapolations and the HLLC​​ approximated Riemann solver to​​​‌ solve the convective part‌ of the compressible Navier-Stokes‌​‌ equations. The computations are​​ performed in the context​​​‌ of metric-based anisotropic mesh‌ adaptation, thus it is‌​‌ essential to be both​​ accurate and robust. The​​​‌ numerical approach consists in‌ using the Larsson sensor‌​‌ in order to detect​​​‌ shocks and possibly other​ unstable regions of the​‌ solution, and use the​​ flux limiters locally in​​​‌ those regions. The strategy​ is being tested for​‌ different flow configurations, both​​ transonic, where shocks are​​​‌ expected and need to​ be treated accordingly, and​‌ subsonic, where flux limiters​​ should not be needed.​​​‌ A case with a​ contact discontinuity is also​‌ considered.

6.13 Comparison of​​ several shared-memory parallel linear​​​‌ solvers for the Navier-Stokes​ primal and adjoint equations​‌ on anisotropic adapted meshes​​

Participants: Frédéric Alauzet,​​​‌ Loïc Maréchal, Julien​ Vanharen, Thomas Gauchery​‌ [correspondant].

We presented​​ and studied a new​​​‌ methodology to improve linear​ solvers on parallel shared-memory​‌ architecture in the context​​ of Reynolds-Averaged Navier-Stokes primal​​​‌ and adjoint equations. The​ computations are realized in​‌ the context of metric-based​​ anisotropic mesh adaptation, thus​​​‌ efficiency and robustness of​ the new approach are​‌ crucial. For this purpose,​​ a domain decomposition approach​​​‌ coupled with coloring algorithm​ for unstructured meshes is​‌ considered. It improves the​​ convergence of the iterative​​​‌ solvers considered to solve​ the linear systems. The​‌ new strategy is validated​​ on multiple realistic test​​​‌ cases to highlight the​ improved convergence for primal​‌ and adjoint problems. The​​ results obtained have been​​​‌ presented during the AIAA​ SciTech 2025 conference in​‌ Orlando 8.

7​​ Bilateral contracts and grants​​​‌ with industry

7.1 Bilateral​ contracts with industry

Participants:​‌ Frédéric Alauzet.

Safran​​ Tech
  • Duration: 2017 -​​​‌ 2027
  • Inria PI: Frédéric​ Alauzet
  • Budget for GammaO:​‌ Salary for non-permanent staff,​​ travels
  • Objectives: Practical use​​​‌ of metric-based mesh adaptation​ for turbomachinery industrial applications​‌

8 Partnerships and cooperations​​

8.1 European initiatives: NumPEx​​​‌

Participants: Loic Marechal,​ Julien Vanharen.

Since​‌ COVID crisis the air​​ traffic is getting back​​​‌ to normal with a​ growing trend. Aeronautical engines'​‌ manufacturer did realize this​​ as a critical time​​​‌ for aviation and huge​ effort should be made​‌ to reduce our environmental​​ impact. For instance, The​​​‌ Advisory Council for Aeronautics​ Research in Europe aka​‌ ACARE 2050 objectives set​​ a reduction of 75%​​​‌ in production of CO2​ and of 90% of​‌ NOx. This objective brings​​ to the design of​​​‌ new and groundbreaking parts​ and requires more efficient​‌ and complex numerical tools.​​ To cope with new​​​‌ challenges an increase in​ simulation complexity and representativity​‌ is needed. It leads​​ industrials like Safran to​​​‌ wonder if current numerical​ toolchains can still address​‌ those issues or should​​ we optimize it. Parts,​​​‌ like propellers and turbines​ are very complex with​‌ a large number of​​ technological effect, taking into​​​‌ account all physical aspect​ is often not possible​‌ since it leads to​​ an exponential growth of​​​‌ the number of degrees​ of freedom with no​‌ convergence or accuracy guarantee.​​ Thus designers simplify the​​​‌ geometry to use their​ traditional old simulation methods.​‌ For this reason, SAFRAN​​ is pushing to develop​​​‌ new numerical toolchains that​ allows to reach better​‌ accuracy and scalability on​​ the key design parameters.​​​‌ The recent studies in​ this sense (3​‌ is an example of​​ application of remeshing technique​​ with a turbine) highlights​​​‌ how the combination of‌ an anisotropic meshing technique,‌​‌ a robust and accurate​​ solver and the use​​​‌ of a remeshing technology‌ would bring an improvement‌​‌ on physical quantities accuracy​​ and reliability. The need​​​‌ of testing integrated parts,‌ like propellers installed on‌​‌ wide body aircraft or​​ multi-stage turbomachine, shows the​​​‌ interest for industrials of‌ scaling the numerical toolchain‌​‌ to exascale machines in​​ order to have accurate​​​‌ results to real world‌ design problems.

Nowadays, industrials‌​‌ such as Airbus, Safran​​ or ArianeGroup, are facing​​​‌ major technological challenges, which‌ include the design of‌​‌ the Airbus A350 high-lift​​ configuration, the cooling system​​​‌ of turbomachinery involving microperforated‌ panels, the Ariane 6‌​‌ launch vehicle or the​​ consideration of ice accretion​​​‌ on aircraft wings. All‌ of these challenges imply‌​‌ an intensive use of​​ Computational Fluid Mechanics (CFD)​​​‌ in order to alleviate‌ design and manufacturing costs‌​‌ and environmental impacts. However,​​ three technological roadblocks need​​​‌ to be overwhelmed in‌ the coming decades to‌​‌ treat the previous quoted​​ industrial applications: the ability​​​‌ to handle very complex‌ geometries, to predict‌​‌ unsteady turbulent flows with​​ a high-fidelity and very​​​‌ quickly, which necessitates‌ the High-Performance Computing (HPC).‌​‌ The application proposed in​​ this project is out​​​‌ of reach with the‌ present technology. Hence, disruptive‌​‌ methods need to be​​ proposed to maximize the​​​‌ socio-economic impact. The first‌ challenge requires to use‌​‌ the automatic generation of​​ tetrahedra meshes, which​​​‌ is developed in our‌ team for more than‌​‌ thirty years 9,​​ 30, 16,​​​‌ 6, 10,‌ 11, 12,‌​‌ 13, 14,​​ 21, 20,​​​‌ 19, 32,‌ 31, 22,‌​‌ 24. Indeed, it​​ is for instance impossible​​​‌ to generate a structured‌ mesh around a real‌​‌ landing gear and even​​ if it would be​​​‌ possible, it would require‌ an enormous amount of‌​‌ time and resources compared​​ with our automatic unstructured​​​‌ mesh generator. The last‌ two challenges deal with‌​‌ the importance of having​​ accurate and fast numerical​​​‌ methods on unstructured tetrahedra‌ meshes to capture unsteady‌​‌ turbulent three-dimensional flows. Last​​ but not least, these​​​‌ challenges have to be‌ simultaneously addressed and impose‌​‌ strong constraints on the​​ whole computational workflow. Moreover,​​​‌ anisotropic mesh adaptation,‌ developed in our team‌​‌ 28, 26,​​ 27, 29 works​​​‌ like a catalyst since‌ it allows to:

  1. efficiently‌​‌ discretize complex industrial geometries,​​
  2. increase accuracy of numerical​​​‌ schemes,
  3. reduce the computational‌ time to achieve the‌​‌ same accuracy thanks to​​ the generation of an​​​‌ optimal mesh in terms‌ of degrees of freedom‌​‌ for a given configuration.​​

Our simulation suite is​​​‌ made of two main‌ softwares: Feflo.a and Wolf.‌​‌ Feflo.a is our robust​​ anisotropic local remeshing software​​​‌ for three-dimensional volume and‌ parametric surface mesh generation‌​‌ conforming in sizes and​​ orientations to a prescribed​​​‌ input metric field. It‌ is based on a‌​‌ unique cavity-based operator 29​​, 34. It​​​‌ also includes many components‌ required to generate an‌​‌ initial mesh or generate​​​‌ highly-adapted meshes. It also​ handles non-manifold geometries and​‌ boundary layer mesh generation.​​ Wolf is a mixed​​​‌ Finite Volume Finite Element​ flow solver for the​‌ compressible Euler and Navier​​ Stokes equations with or​​​‌ without moving geometries. It​ also solves the steady​‌ and unsteady adjoint problems.​​ It achieves second-order accuracy​​​‌ in space and up​ to fourth-order accuracy in​‌ time with explicit or​​ implicit schemes. These suite​​​‌ has demonstrated its incredible​ potential and provided substantial​‌ breakthroughs in industrial applications​​ 35, 34,​​​‌ 4.

It is​ absolutely crucial to keep​‌ in mind that the​​ challenge to handle highly​​​‌ anisotropic unstructured meshes arise​ from the connectivity table​‌ needed to represent an​​ unstructured mesh which induces​​​‌ loop indirections and load​ imbalances during computations and​‌ from the anisotropy which​​ invalidates most of the​​​‌ standards geometric algorithms. Very​ simple standard algorithm such​‌ as a cut plane​​ in an anisotropic tetrahedra​​​‌ mesh should be revised​ to efficiently run on​‌ a distributed memory architecture.​​ Furthermore, the GPU algorithm​​​‌ has very little to​ do with the CPU​‌ one which notably increases​​ the development cost to​​​‌ obtain a portable solution.​

To continue and improve​‌ the capabilities of our​​ suite, we propose a​​​‌ new library GMlib to​ specifically address the issue​‌ of handling anisotropic unstructured​​ meshes on GPU and​​​‌ an industrial test case​ in agreement with the​‌ Safran Tech's roadmap.

8.2​​ European initiatives: Nextair

Participants:​​​‌ Frederic Alauzet, Eloi​ Guilbert, Cosimo Tarsia​‌ Morisco.

Radical changes​​ in aircraft configurations and​​​‌ operations are required to​ meet the target of​‌ climate-neutral aviation. To foster​​ this transformation, innovative digital​​​‌ methodologies are of utmost​ importance to enable the​‌ optimisation of aircraft performances.​​ NEXTAIR will develop and​​​‌ demonstrate innovative design methodologies,​ data-fusion techniques and smart​‌ health-assessment tools enabling the​​ digital transformation of aircraft​​​‌ design, manufacturing and maintenance.​ NEXTAIR proposes digital enablers​‌ covering the whole aircraft​​ life-cycle devoted to ease​​​‌ breakthrough technology maturation, their​ flawless entry into service​‌ and smart health assessment.​​ They will be demonstrated​​​‌ in 8 industrial test​ cases, representative of multi-physics​‌ industrial design, maintenance problems​​ and environmental challenges and​​​‌ interest for aircraft and​ engines manufacturers. NEXTAIR will​‌ increase high-fidelity modelling and​​ simulation capabilities to accelerate​​​‌ and derisk new disruptive​ configurations and breakthrough technologies​‌ design. NEXTAIR will also​​ improve the efficiency of​​​‌ uncertainty quantification and robust​ optimisation techniques to effectively​‌ account for manufacturing uncertainty​​ and operational variability in​​​‌ the industrial multi-disciplinary design​ of aircraft and engine​‌ components. Finally, NEXTAIR will​​ extend the usability of​​​‌ machine learning-driven methodologies to​ contribute to aircraft and​‌ engine components’ digital twinning​​ for smart prototyping and​​​‌ maintenance. NEXTAIR brings together​ 16 partners from 6​‌ countries specialised in various​​ disciplines: digital tools, advanced​​​‌ modelling and simulation, artificial​ intelligence, machine learning, aerospace​‌ design, and innovative manufacturing.​​ The consortium includes 9​​​‌ research organisations, 4 leading​ aeronautical industries providing digital-physical​‌ scaled demonstrator aircraft and​​ engines and 2 high-Tech​​​‌ SME providing expertise in​ industrial scientific computing and​‌ data intelligence.

9 Scientific​​ production

9.1 Publications of​​ the year

International journals​​​‌

  • 1 articleC.Cosimo‌ Tarsia Morisco and F.‌​‌Frederic Alauzet. Assessment​​ of Spalart-Allmaras One-Equation BCM​​​‌ Transitional Model Using Anisotropic‌ Metric-Based Mesh Adaptation.‌​‌AIAA PaperJanuary 2025​​HALDOI

Conferences without​​​‌ proceedings

  • 2 inproceedingsY.‌Yoan Gorschka, G.‌​‌Guillaume Puigt, A.​​Alberto Remigi, C.​​​‌Cédric Content, B.‌Bruno Maugars and C.‌​‌Cosimo Tarsia Morisco.​​ Reviewing the Vertex-Centered V4​​​‌ Scheme for More Accurate‌ Mesh Adaptation.AIAA‌​‌ SCITECH 2025 ForumOrlando,​​ United StatesAmerican Institute​​​‌ of Aeronautics and Astronautics‌January 2025HALDOI‌​‌

9.2 Cited publications

  • 3​​ inproceedingsF.F. Alauzet​​​‌, L.L. Billon‌, E.E. Parente‌​‌, M.M. Philit​​, A.A. Remigi​​​‌ and D.D. Papadogiannis‌. Evaluation of heat‌​‌ transfer performance of a​​ film-cooled turbine vane using​​​‌ metric-based anisotropic mesh adaptation‌.AIAA SCITECH 2023‌​‌ ForumNational Harbor, MD,​​ USA2023DOIback​​​‌ to text
  • 4 inproceedings‌F.Frédéric Alauzet,‌​‌ F.Francesco Clerici,​​ A.Adrien Loseille,​​​‌ M.Matthieu Maunoury,‌ L.Lucien Rochery,‌​‌ C.Cosimo Tarsia-Morisco,​​ L.-M.Lucille-Marie Tenkes and​​​‌ J.Julien Vanharen.‌ 4th AIAA CFD‌​‌ High Lift Prediction Workshop​​ results using metric-based anisotropic​​​‌ mesh adaptation.AIAA‌ Fluid Dynamics ConferenceChicago,‌​‌ IL, USA6 2022​​back to text
  • 5​​​‌ articleR.Rémi Feuillet‌, M.Matthieu Maunoury‌​‌ and A.Adrien Loseille​​. On pixel-exact rendering​​​‌ for high-order mesh and‌ solution.Journal of‌​‌ Computational Physics4242021​​, 109860back to​​​‌ text
  • 6 bookP.‌P.J. Frey and P.‌​‌P.L. George. Mesh​​ generation. Application to finite​​​‌ elements.ISTE Ltd‌ and John Wiley &‌​‌ Sons2008back to​​ text
  • 7 miscP.​​​‌ J.P. J. Frey‌. Medit: An interactive‌​‌ mesh visualization software, INRIA​​ Technical Report RT0253.​​​‌2001back to text‌
  • 8 inbookT.Thomas‌​‌ Gauchery, J.Julien​​ Vanharen, L.Loïc​​​‌ Maréchal and F.Frederic‌ Alauzet. Comparison of‌​‌ Several Linear Solvers on​​ Shared-Memory Architecture for Navier-Stokes​​​‌ Equations and Adjoint System‌ on Anisotropic Adapted Meshes‌​‌.AIAA SCITECH 2025​​ Forum2021, 20​​​‌back to text
  • 9‌ bookP.P.L. George‌​‌ and H.H. Borouchaki​​. Delaunay triangulation and​​​‌ meshing : application to‌ finite elements.Paris,‌​‌ OxfordHermès Science1998​​back to text
  • 10​​​‌ bookP.P.L. George‌ and H.H. Borouchaki‌​‌. Delaunay triangulation and​​ meshing. Application to finite​​​‌ elements.ParisHermès‌1998back to text‌​‌
  • 11 articleP.P.L.​​ George and H.H.​​​‌ Borouchaki. ``Ultimate'' robustness‌ in meshing an arbitrary‌​‌ polyhedron.International Journal​​ for Numerical Methods in​​​‌ Engineering5872003‌, 1061-1089back to‌​‌ text
  • 12 articleP.​​P.L. George, F.​​​‌F. Hecht and E.‌E. Saltel. Automatic‌​‌ mesh generator with specified​​ boundary.Computer Methods​​​‌ in Applied Mechanics and‌ Engineering921991,‌​‌ 269-288back to text​​
  • 13 articleP.P.L.​​​‌ George, F.F.‌ Hecht and E.E.‌​‌ Saltel. Fully automatic​​​‌ mesh generator for 3D​ domains of any shape​‌.Impact of Computing​​ in Science and Engineering​​​‌231990,​ 187-218back to text​‌
  • 14 articleP.P.L.​​ George and F.F.​​​‌ Hermeline. Delaunay's mesh​ of a convex polygon​‌ in dimension d. Application​​ to arbitrary polyedra.​​​‌International Journal for Numerical​ Methods in Engineering33​‌1992, 975-995back​​ to text
  • 15 article​​​‌C.C. Geuzaine and​ J.-F.J.-F. Remacle.​‌ Gmsh: A 3-D finite​​ element mesh generator with​​​‌ built-in pre- and post-processing​ facilities.International Journal​‌ for Numerical Methods in​​ Engineering79112009​​​‌, 1309-1331back to​ text
  • 16 articleF.​‌F. Hermeline. Triangulation​​ automatique d'un polyèdre en​​​‌ dimension N.RAIRO.​ Analyse numérique163​‌1982, 211--242DOI​​back to text
  • 17​​​‌ miscK.KitWare Inc.​. ParaView.back​‌ to text
  • 18 misc​​T.TecPlot Inc..​​​‌ TecPlot.back to​ text
  • 19 articleR.​‌R. Löhner. Automatic​​ unstructured grid generators.​​​‌Communications in Numerical Methods​ in Engineering121996​‌, 683-702back to​​ text
  • 20 articleR.​​​‌R. Löhner. Extensions​ and improvements of the​‌ advancing front grid generation​​ technique.Communications in​​​‌ Numerical Methods in Engineering​121996, 683-702​‌back to text
  • 21​​ articleR.R. Löhner​​​‌ and P.P. Parikh​. Three-dimensional grid generation​‌ by the advancing front​​ method.International Journal​​​‌ for Numerical Methods in​ Engineering91988,​‌ 1135-1149back to text​​
  • 22 articleA.A.​​​‌ Loseille and F.F.​ Alauzet. Continuous Mesh​‌ Framework Part I: Well-Posed​​ Continuous Interpolation Error.​​​‌SIAM Journal on Numerical​ Analysis4912011​‌, 38-60DOIback​​ to text
  • 23 inproceedings​​​‌A.Adrien Loseille and​ R.Rémi Feuillet.​‌ Vizir: High-order mesh and​​ solution visualization using OpenGL​​​‌ 4.0 graphic pipeline.​2018 AIAA aerospace sciences​‌ meeting2018, 1174​​back to text
  • 24​​​‌ inproceedingsA.A. Loseille​, L.L. Frazza​‌ and F.F. Alauzet​​. Comparing anisotropic adaptive​​​‌ strategies on the 2nd​ AIAA Sonic Boom Workshop​‌ geometry.2nd AIAA​​ sonic boom workshop geometry​​​‌AIAA 2017-0281, Grapevine, TX,​ USA2017back to​‌ text
  • 25 miscA.​​A. Loseille, H.​​​‌H. Guillard and A.​A. Loyer. An​‌ introduction to Vizir: an​​ interactive mesh visualization and​​​‌ modification software.2016​back to text
  • 26​‌ inproceedingsA.A. Loseille​​ and R.R. Löhner​​​‌. Anisotropic Adaptive Simulations​ in Aerodynamics.48th​‌ AIAA Aerospace Sciences Meeting​​ Including the New Horizons​​​‌ Forum and Aerospace Exposition​American Institute of Aeronautics​‌ and Astronauticsjan 2010​​DOIback to text​​​‌
  • 27 inproceedingsA.A.​ Loseille and R.R​‌ Löhner. Boundary Layer​​ Mesh Generation and Adaptivity​​​‌.49th AIAA Aerospace​ Sciences Meeting including the​‌ New Horizons Forum and​​ Aerospace ExpositionAmerican Institute​​​‌ of Aeronautics and Astronautics​jan 2011DOIback​‌ to text
  • 28 inproceedings​​A.A. Loseille and​​​‌ R.R. Löhner.​ On 3D anisotropic local​‌ remeshing for surface, volume​​ and boundary layers.​​18th International Meshing Roundtable​​​‌Salt Lake City, UT,‌ USASpringer2009,‌​‌ 611-630back to text​​
  • 29 inproceedingsA.A.​​​‌ Loseille and V.V.‌ Menier. Serial and‌​‌ Parallel Mesh Modification Through​​ a Unique Cavity-Based Primitive​​​‌.22nd International Meshing‌ RoundtableOrlando, FL, USA‌​‌Springer2013, 541-558​​back to textback​​​‌ to text
  • 30 article‌D. L.D. L.‌​‌ Marcum. Efficient Generation​​ of High-Quality Unstructured Surface​​​‌ and Volume Grids.‌Eng. Comput.173‌​‌2001, 211--233DOI​​back to text
  • 31​​​‌ inproceedingsD.D.L. Marcum‌. Efficient generation of‌​‌ high-quality unstructured surface and​​ volume grids.9th​​​‌ International Meshing RoundtableNew‌ Orleans, LA, USA2000‌​‌back to text
  • 32​​ articleD.D.J. Mavriplis​​​‌. An advancing front‌ Delaunay triangulation algorithm designed‌​‌ for robustness.Journal​​ of Computational Physics117​​​‌1995, 90-101back‌ to text
  • 33 techreport‌​‌J.J. Slotnick,​​ A.A. Khodadoust,​​​‌ J.J. Alonso,‌ D.D. Darmofal,‌​‌ W.W. Gropp,​​ E.E. Lurie and​​​‌ D.D. Mavriplis.‌ CFD Vision 2030 Study:‌​‌ A path to revolutionary​​ computational aerosciences.NASA​​​‌March 2014back to‌ text
  • 34 articleJ.‌​‌Julien Vanharen, A.​​Adrien Loseille and F.​​​‌Frédéric Alauzet. Non-manifold‌ anisotropic mesh adaptation: application‌​‌ to fluid–structure interaction.​​Eng. Comput.8 2021​​​‌DOIback to text‌back to text
  • 35‌​‌ articleJ.Julien Vanharen​​, A.Adrien Loseille​​​‌, F.Frédéric Alauzet‌ and M. A.Micheal‌​‌ Andrew Park. Nearfield​​ anisotropic mesh adaptation for​​​‌ the third AIAA Sonic‌ Boom Workshop.J.‌​‌ Aircr.3 2022DOI​​back to text