Hydrograd
| Authors: | |
|---|---|
| Owners: | Xiaofeng Liu |
| Type: | Resource |
| Storage: | The size of this resource is 38.5 MB |
| Created: | Feb 17, 2025 at 8:59 p.m. |
| Last updated: | Feb 17, 2025 at 9:03 p.m. |
| Citation: | See how to cite this resource |
| Sharing Status: | Public |
|---|---|
| Views: | 109 |
| Downloads: | 0 |
| +1 Votes: | Be the first one to this. |
| Comments: | No comments (yet) |
Abstract
Hydrograd is differentiable programming platform for solving governing equations for hydrodynamics and related processes. This is a snapshot version of the repository for Hydrograd.jl. This version contains the code and cases to reproduce the results in the manuscript titled "Scientific Machine Learning of Flow Resistance Using Universal Shallow Water Equations with Differentiable Programming". The latest version of Hydrograd can be found at: https://github.com/psu-efd/Hydrograd.jl
Subject Keywords
Content
This resource contains links to external content. Linked content is
NOT stored in HydroShare, and we can't guarantee its availability, quality, or
security.
How to Cite
Liu, X. (2025). Hydrograd, HydroShare, http://www.hydroshare.org/resource/c8ea7e80be434a228038d1f613a9b403
This resource is shared under the Creative Commons Attribution CC BY.
http://creativecommons.org/licenses/by/4.0/
Comments
There are currently no comments
New Comment