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Publications

Filters: Author is Gibou, Frédéric  [Clear All Filters]
2021
Egan R, Guittet A, Temprano-Coleto F, Isaac T, Peaudecerf FJ, Landel JR, Luzzatto-Fegiz P, Burstedde C, Gibou F.  2021.  Direct numerical simulation of incompressible flows on parallel Octree grids. Journal of Computational Physics. 428:110084.
Larios-Cárdenas LÁngel, Gibou F.  2021.  Error-Correcting Neural Networks for Semi-Lagrangian Advection in the Level-Set Method. arXiv preprint arXiv:2110.11611.
Larios-Cárdenas LÁngel, Gibou F.  2021.  Level-Set Curvature Neural Networks: A Hybrid Approach. arXiv preprint arXiv:2104.02951.
2020
Cárdenas LÁngel Lar, Gibou F.  2020.  A Deep Learning Approach for the Computation of Curvature in the Level-Set Method. arXiv preprint arXiv:2002.02804.
Egan R, Gibou F.  2020.  xGFM: Recovering convergence of fluxes in the ghost fluid method.
2016
Detrixhe M, Gibou F.  2016.  Hybrid Massively Parallel Fast Sweeping Method for Static Hamilton-Jacobi Equations. Journal of Computational Physics. 322:199-223.
2015
Guittet A, Theillard M, Gibou F.  2015.  A stable projection method for the incompressible Navier–Stokes equations on arbitrary geometries and adaptive Quad/Octrees. Journal of Computational Physics. 292:215–238.

Acknowledgements

Please acknowledge the CSC in publications and presentations if you are using our facilities computing resources in your research.

 

Use was made of computational facilities purchased with funds from the National Science Foundation (CNS-1725797) and administered by the Center for Scientific Computing (CSC). The CSC is supported by the California NanoSystems Institute and the Materials Research Science and Engineering Center (MRSEC; NSF DMR 1720256) at UC Santa Barbara.

 

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