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lagrangian

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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
Fierro

Fierro is a C++ code designed to aid the research and development of numerical methods, testing of user-specified models, and creating multi-scale models related to quasi-static solid mechanics and compressible material dynamics using low- and high-order meshes.

  • Updated Nov 24, 2024
  • C++

The CMS is a multiscale stochastic Lagrangian framework developed by Paris' Lab at the Rosenstiel School of Marine, Atmospheric & Earth Science to study complex behaviors, giving probabilistic estimates of dispersion, connectivity, fate of pollutants, and other Lagrangian phenomena. This repository facilitates community contributions to CMS modules

  • Updated Jun 26, 2024
  • Fortran

A three-dimensional Lagrangian model capable of evaluating the influence of flow velocity, shear dispersion and turbulent diffusion on the transport and dispersal patterns of Asian carp eggs is presented. The model’s variables include not only biological behavior (growth rate, density changes) but also the physical characteristics of the flow fi…

  • Updated Mar 2, 2018
  • MATLAB

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