rmojgani / LPINNs

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 conditions

Date Created 2022-05-04 (2 years ago)
Commits 22 (last one 2 years ago)
Stargazers 46 (0 this week)
Watchers 4 (0 this week)
Forks 6
License unknown
Ranking

RepositoryStats indexes 617,630 repositories, of these rmojgani/LPINNs is ranked #503,960 (18th percentile) for total stargazers, and #382,170 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #98,155/124,984.

rmojgani/LPINNs is also tagged with popular topics, for these it's ranked: deep-learning (#7,480/8709),  pytorch (#5,237/6139),  neural-network (#1,007/1123),  ml (#530/641)

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updated: 2025-02-19 @ 08:47am, id: 488672058 / R_kgDOHSCLOg