PINN Loss Function Generation with Symbolic Math
Generate Deep Learning Toolbox code for use in a physics-informed neural network (PINN) directly from a symbolically defined PDE or ODE.
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Cite As
Mae Markowski (2026). PINN Loss Function Generation with Symbolic Math (https://www.mathworks.com/matlabcentral/fileexchange/172049-pinn-loss-function-generation-with-symbolic-math), MATLAB Central File Exchange. Retrieved .
General Information
- Version 1.1.2 (1.22 MB)
MATLAB Release Compatibility
- Compatible with any release
Platform Compatibility
- Windows
- macOS
- Linux
| Version | Published | Release Notes | Action |
|---|---|---|---|
| 1.1.2 | Updating files from Live Script (.mlx) to Live Code File Format (.m), fixed a broken link in the description. |
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| 1.1.1 | Adding support for inverse and parametric problems. |
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| 1.1.0 | Added functionality for inverse problems (parameter estimation from data) and parametric problems. |
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| 1.0.0 |
