Published February 18, 2020
| Version 1.0.0
Journal article
Open
NeuroDiffEq: A Python package for solving differential equations with neural networks
Authors/Creators
- 1. Institute for Applied Computational Science, Harvard University, Cambridge, MA, United States
- 2. Chongqing University, Chongqing, China
- 3. Department of Physics and Astronomy, Virginia University, Morgantown, WV, United States; Center for Gravitational Waves and Cosmology, West Virginia University, Morgantown, WV, United States
- 4. Politecnico di Milano, Milano, Italy
Description
NeuroDiffEq is a Python package built with PyTorch that uses artificial neural networks (ANNs) to solve ordinary and partial differential equations (ODEs and PDEs). The paper explains the motivation for building this package and gives a high-level description of the implementation.
Files
10.21105.joss.01931.pdf
Files
(143.3 kB)
| Name | Size | Download all |
|---|---|---|
|
md5:9ec0eb6dafe30be3d239dec2b0a37a96
|
143.3 kB | Preview Download |