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Hi there - I'm Arvind Mohan 👋

  • 🌊 I’m a scientist at Los Alamos National Laboratory working on deep learning for computational physics, especially turbulence in fluids.
  • 🔭 I’m currently working on differentiable programming based surrogate/reduced-order models for engineering applications.
  • 🌱 I enjoy programming in Julia and Python.
  • 👯 I’m always looking for new collaborations, productive discussions and ideas.
  • 📫 How to reach me: a r v i n d m (at) l a n l. g o v
  • 📚 Most of my work can be found in Google Scholar - Feel free to reach out to know more!
  • ❗Several of my codes from papers and other work are not open-source on Github (yet) or published, as additional approvals are needed from LANL. Please contact me if you have any questions about my research, and I'd be happy to chat.

Thank you!

Arvind T. Mohan's Projects

channelrans icon channelrans

RANS Channel flow solver for OpenFOAM, with mass flow rate based pressure gradient correction

diffeqflux.jl icon diffeqflux.jl

DifferentialEquations.jl + Flux.jl = Universal neural differential equations with O(1) backprop, GPUs, and stiff+non-stiff DE solvers

incflo icon incflo

An AmrCore-based code that solves the incompressible Navier-Stokes equations.

lstm_rom_arxiv icon lstm_rom_arxiv

A Deep Learning based Approach to Reduced Order Modeling for Turbulent Flow Control using LSTM Neural Networks. arXiv:1804.09269

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