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README.md

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@@ -127,3 +127,16 @@ pdealg = NNPDENS(u0, σᵀ∇u, opt=opt)
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@time ans = solve(prob, pdealg, verbose=true, maxiters=100, trajectories=100,
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alg=EM(), dt=1.2, pabstol=1f-2)
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```
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### Citation
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If you use NeuralPDE.jl in your research, please cite [this paper](https://arxiv.org/abs/2107.09443):
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```tex
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@article{zubov2021neuralpde,
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title={NeuralPDE: Automating Physics-Informed Neural Networks (PINNs) with Error Approximations},
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author={Zubov, Kirill and McCarthy, Zoe and Ma, Yingbo and Calisto, Francesco and Pagliarino, Valerio and Azeglio, Simone and Bottero, Luca and Luj{\'a}n, Emmanuel and Sulzer, Valentin and Bharambe, Ashutosh and others},
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journal={arXiv preprint arXiv:2107.09443},
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year={2021}
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}
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```

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