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20102026
most citedA unified deep artificial neural network approach to partial differential equations in complex geometries

678 citations · 994 across the 24 of their papers we have counts for

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Showing 2018 · stat.MLShow all

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stat.ML2018★ 160 cited

Data-driven discovery of PDEs in complex datasets

Jens Berg, Kaj Nyström

Many processes in science and engineering can be described by partial differential equations (PDEs). Traditionally, PDEs are derived by considering first principles of physics to d…