# meyer-nils/torch-fem

<https://repo.masters-masters.com/en/repos/meyer-nils/torch-fem>

[Home](https://repo.masters-masters.com/en) › [meyer-nils](https://repo.masters-masters.com/en/owners/meyer-nils) › [torch-fem](https://repo.masters-masters.com/en/repos/meyer-nils/torch-fem)

meyer-nils/torch-fem has 131 stars on GitHub. Its RepoMasters card: Prototype tier. GPU accelerated differentiable finite elements for solid mechanics with…

| Field | Value |
| --- | --- |
| Owner | [meyer-nils](https://repo.masters-masters.com/en/owners/meyer-nils) |
| Stars | 131 |
| Forks | 37 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | MIT |
| Created | 2023 |
| Topics | differentiable-programming, fem, topology-optimization, python, scientific-computing, solid-mechanics-codes, adjoint, sensitivity-analysis, structural-optimization, shape-optimization |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [meyer-nils/torch-fem](https://github.com/meyer-nils/torch-fem) |

## Repository

GPU accelerated differentiable finite elements for solid mechanics with PyTorch

The tier for repos with 100 to 249 ★. Published odds per card pulled: 70%. Rarity: Common.

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Data: GitHub · Illustration drawn by RepoMasters from the repo’s ID and its language color.