Antoine Michael Diego Jost

Contact

Antoine JOST
ENSCBP – I2M
16, av. Pey-Berland
33607 Pessac CEDEX
France
antoine.jost@u-bordeaux.fr

 

Positions

• Post-doct. at I2M, March 2020 – Present. Numerical Methods & Fluid-Structure Interaction.
  • Development of Semi-implicit numerical schemes for Eulerian Fluid-Structure Interaction.
  • Supervisor: Thomas Milcent
• Post-doct. at I2M,  September 2018 – March 2020. Numerical Methods & Immersed Boundary Methods (IBMs)
  • Project #1: Numerical methods for massively parallel simulations applied to nanoparticle processing
  • Project #2: Improvements to direct forcing ghost node immersed boundary method.
  • Supervisor: Stéphane Glockner, Antoine Lemoine, Arnaud Erriguible
• Ph.D. at Florida Institute of Technology (FIT), January 2015 – July 2018. Direct Numerical Simulations of Incompressible Flow through Porous Packs over a wide Range of Reynolds Numbers
  • Project: Investigate macroscopic integrated quantities and temporal and spatial length scales of laminar, transitional, and turbulent flow in periodic ordered and random particle packs
  • Code developed: high-order imcompressible Navier-Stokes flow solver with adaptive mesh refinement, static and dynamic LES, and ghost cell IBM.
  • Supervisor: Ju Zhang
  • Additional Project: Further development to compressible multiphase Euler code RocSDT.
• M.S. in Aerospace Engineering at FIT, Numerical Study of Intermittent Bursting of a Laminar Separation Bubble on a NACA 64₃-618 Airfoil
  • Project: Investigate the different spatial and temporal laminar separation bubble and vortex shedding behaviors for three different angles of attack for a NACA 64₃-618 Airfoil.
  • Fluid mechanics, turbulence, numerical analysis, finite volume method, high-order methods, high-performance computing
  • Supervisor: Ju Zhang

 

Research interests

Physics

• Compressible & Incompressible Navier-Stokes
• Low Reynolds number flows
• Turbulence
• Flows over biological surfaces

Numerics

• High Performance Computing
• Immersed Boundary Method
• High-order Numerical Schemes
• Adaptive Mesh Refinement
• GPGPU (GPU computing)

 

Papers

• Peer-reviewed Journals
  • Jost, A.M.D., Glockner, S., and Erriguible, A., 2020, Direct numerical simulations of fluids mixing above mixture critical point, accepted in Journal of Supercritical Fluids.
  • Jost, A.M.D., and Glockner, S., 2020, Direct forcing immersed boundary method : Improvements to the Ghost Node Method, submitted to Journal of Computational Physics.
  • Jackson, T.L., Jost, A.M., Zhang, J., Sridharan, P. and Amadio, G., 2017. Multi-dimensional mesoscale simulations of detonation initiation in energetic materials with density-based kinetics. Combustion Theory and Modelling, pp.1-25.
  • Zhang, J., Jackson, T.L. and Jost, A.M.D., 2017. Effects of air chemistry and stiffened EOS of air in numerical simulations of bubble collapse in water. Physical Review Fluids, 2(5), p.053603.
• Peer-reviewed Conferences
  • Jost, A. and Zhang, J., 2015. Numerical Study of Intermittent Laminar Bubble Bursting and Vortex Shedding on an NACA 64_3-618 Airfoil. In 53rd AIAA Aerospace Sciences Meeting (p. 1032).
  • Jost, A., Zhang, J. and Jackson, T.L., 2015. GPU Parallelization of a High Order Immersed Boundary Method Fluid Solver. In 22nd AIAA Computational Fluid Dynamics Conference (p. 3056).
  • Jost, A., Zhang, J. and Jackson, T.L., 2016. Incompressible Flow Solver with Ghost-Cell Immersed Boundary Method and Adaptive Mesh Refinement. In 46th AIAA Fluid Dynamics Conference (p.3328)
  • Jackson, T.L., Jost, A.M., Zhang, J., Sridharan, P. and Amadio, G., 2017, June. Three-dimensional Mesoscale Simulations of Detonation Initiation in Energetic Materials with Density-based Kinetics. In APS Shock Compression of Condensed Matter Meeting Abstracts.