# Solving high-dimensional partial differential equations using deep learning

@article{Han2017SolvingHP, title={Solving high-dimensional partial differential equations using deep learning}, author={Jiequn Han and Arnulf Jentzen and Weinan E}, journal={Proceedings of the National Academy of Sciences}, year={2017}, volume={115}, pages={8505 - 8510} }

Significance Partial differential equations (PDEs) are among the most ubiquitous tools used in modeling problems in nature. However, solving high-dimensional PDEs has been notoriously difficult due to the “curse of dimensionality.” This paper introduces a practical algorithm for solving nonlinear PDEs in very high (hundreds and potentially thousands of) dimensions. Numerical results suggest that the proposed algorithm is quite effective for a wide variety of problems, in terms of both accuracy…

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