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convection

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To address some of the failure modes in training of physics informed neural networks, a Lagrangian architecture is designed to conform to the direction of travel of information in convection-diffusion equations, i.e., method of characteristic; The repository includes a pytorch implementation of PINN and proposed LPINN with periodic boundary cond…

  • Updated Jan 10, 2023
  • Python

PaleoSea2D is an elaborate plugin for FEFLOW to simulate the postglacial evolution of a regional fractured-rock aquifer & aquitard subsurface system as a consequence of a major marine transgression combined with sedimentation of fines, rapid decrease in the relative sea/lake water level (~RSL), and convective migration of groundwater salinity.

  • Updated Aug 6, 2018
  • C++

Under the supervision of Prof. Matthew Browning, I was tasked to study the creation of a spectral solver for Boussinesq approximated fluid dynamics and then, using Dedalus, to study the effects of rotation and stratification on turbulent convection.

  • Updated Mar 22, 2021
  • Python

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