Aakash Patil

Employment

• Stanford University Postdoctoral Researcher
  2023 - Present
• Centre de mise en forme des matériaux Deep Learning for Turbulent Flows
  2019 - 2022
• CERFACS High Performance Learning for Computational Physics
  ? - 2019
• Institut Pprime - CNRS (UPR 3346) Hot-wire Anemometry and Experimental Turbulence
  ? - 2018
• Laboratoire de Mécanique des Fluides de Lille Data-Driven Turbulence Modelling
  ? - 2018
• California Institute of Technology LIGO - Experimental Gravitational Physics
  ? - 2016
• National Centre for Radio Astrophysics Radio Telescope Characterization and Commissioning
  ? - 2015

Education

• Mines ParisTech - Paris Sciences and Lettres University Ph.D. Computational Mathematics
  2019 - Present
• École Centrale de Lille M.S. (M1) Aerospace Engineering - Major: Turbulence
  2017 - 2019
• ISAE-ENSMA M.S. (M2) Aerospace Engineering - Major: Turbulence
  2017 - 2019
• University of Pune B.Eng. Mechanical Engineering
  2013 - 2017

Projects & Funding

Projects & funding information is unavailable.

Publications (6)

• Autoregressive transformers for data-driven spatiotemporal learning of turbulent flows
  APL Machine Learning 2023 14 citations DOI: 10.1063/5.0152212
  +Save
• Deep Learning-Assisted Modelling of Turbulence in Fluids
  2023 0 citations DOI: 10.70675/7a4de3bbze3baz4a5ezbcf0zacf39551765e
  +Save
• An open source package to perform basic and advanced statistical analysis of turbulence data and other complex systems
  Physics of Fluids 2022 34 citations DOI: 10.1063/5.0107974
  +Save
• Hall-Effect Thrusters for Deep-Space Missions: A Review
  IEEE Transactions on Plasma Science 2022 47 citations DOI: 10.1109/TPS.2022.3143032
  +Save
• Deep learning model to assist multiphysics conjugate problems
  Physics of Fluids 2022 13 citations DOI: 10.1063/5.0077723
  +Save
• Robust deep learning for emulating turbulent viscosities
  Physics of Fluids 2021 15 citations DOI: 10.1063/5.0064458
  +Save