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20122023
most citedDeepONet: Learning nonlinear operators for identifying differential equations based on the universal approximation theorem of operators

3.4k citations · 4.6k across the 14 of their papers we have counts for

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physics.comp-ph2021★ 28 cited

A comprehensive and fair comparison of two neural operators (with practical extensions) based on FAIR data

Lu Lu, Xuhui Meng, Shengze Cai +4

Neural operators can learn nonlinear mappings between function spaces and offer a new simulation paradigm for real-time prediction of complex dynamics for realistic diverse applica…