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Vincent Delmas

3 papers hereh-index 382 citations7 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author2
  • middle author1

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • physics.comp-ph3
same name
  • Vincent Delmas — 1 paper, h 1
  • Vincent Delmas — 1 paper, h 3

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

most citedNon-Intrusive Reduced-Order Modeling Using Uncertainty-Aware Deep Neural Networks and Proper Orthogonal Decomposition: Application to Flood Modeling

72 citations · 105 across the 3 of their papers we have counts for

collaborators
Showing physics.comp-phShow all

3 papers · 1 filter

physics.comp-ph2023★ 5 cited

Parallel high-order resolution of the Shallow-water equations on real large-scale meshes with complex bathymetries

Vincent Delmas, Azzeddine Soulaïmani

The resolution of the Shallow-water equations is of practical interest in the study of inundations and often requires very large and dense meshes to accurately simulate river flows…

physics.comp-ph2020★ 28 cited

Multi-GPU implementation of a time-explicit finite volume solver for the Shallow-Water Equations using CUDA and a CUDA-Aware version of OpenMPI

Vincent Delmas, Azzedine Soulaïmani

This paper shows the development of a multi-GPU version of a time-explicit finite volume solver for the Shallow-Water Equations (SWE) on a multi-GPU architecture. MPI is combined w…

physics.comp-ph2020★ 72 cited

Non-Intrusive Reduced-Order Modeling Using Uncertainty-Aware Deep Neural Networks and Proper Orthogonal Decomposition: Application to Flood Modeling

Pierre Jacquier, Azzedine Abdedou, Vincent Delmas +1

Deep Learning research is advancing at a fantastic rate, and there is much to gain from transferring this knowledge to older fields like Computational Fluid Dynamics in practical e…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.