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researcher

Philippe Méliga

2 papers here

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

author position
  • middle author2

Across the 2 of 2 papers where every author was matched, so the position is known.

fields
  • physics.comp-ph1
  • physics.flu-dyn1
ORCID 0000-0001-9889-0520

identity via Semantic Scholar / OpenAlex

most citedImplementation of a discrete Immersed Boundary Method in OpenFOAM

2 citations · 2 across the 2 of their papers we have counts for

collaborators

2 papers

physics.comp-ph2024

Beacon, a lightweight deep reinforcement learning benchmark library for flow control

Jonathan Viquerat, Philippe Meliga, Pablo Jeken +1

Recently, the increasing use of deep reinforcement learning for flow control problems has led to a new area of research, focused on the coupling and the adaptation of the existing…

physics.flu-dyn2016★ 2 cited

Implementation of a discrete Immersed Boundary Method in OpenFOAM

E. Constant, C. Li, J. Favier +3

In this paper, the Immersed Boundary Method (IBM) proposed by Pinelli is implemented for finite volume approximations of incompressible Navier-Stokes equations solutions in the ope…

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