# Using Flux for a neural net solution to differential equations

**URL:** <https://discourse.julialang.org/t/using-flux-for-a-neural-net-solution-to-differential-equations/41996>\
**Category:** General Usage\
**Created:** [June 24, 2020, 4:02pm UTC](https://discourse.julialang.org/t/using-flux-for-a-neural-net-solution-to-differential-equations/41996 "2020-06-24T16:02:00Z")\
**Posts on this page:** 1\
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**Author:** ![ChrisRackauckas](https://sea2.discourse-cdn.com/julialang/user_avatar/discourse.julialang.org/chrisrackauckas/32/77_2.png) [@ChrisRackauckas](https://discourse.julialang.org/u/ChrisRackauckas)\
**Post date:** [June 25, 2020, 2:55am UTC](https://discourse.julialang.org/t/using-flux-for-a-neural-net-solution-to-differential-equations/41996/4 "2020-06-25T02:55:58Z")

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> [@RuckerC](#):
>
> I have recently started using Flux to construct a physics informed neural network. To do this, I start with a model

Look at NeuralNetDiffEq.jl which is a repo of physics-informed neural network implementations and deep BSDE methods.

> **[GitHub - SciML/NeuralPDE.jl: Physics-Informed Neural Networks (PINN) and Deep...](https://github.com/SciML/NeuralPDE.jl)**
>
> Physics-Informed Neural Networks (PINN) and Deep BSDE Solvers of Differential Equations for Scientific Machine Learning (SciML) accelerated simulation - GitHub - SciML/NeuralPDE.jl: Physics-Informe...

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