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20092026
most citedDeep learning observables in computational fluid dynamics

167 citations · 1.3k across the 78 of their papers we have counts for

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math.NA2018★ 19 cited

A machine learning framework for data driven acceleration of computations of differential equations

Siddhartha Mishra

We propose a machine learning framework to accelerate numerical computations of time-dependent ODEs and PDEs. Our method is based on recasting (generalizations of) existing numeric…

math.AP2018

Low-regularity global well-posedness for the Klein-Gordon-Schrödinger system on

E. Compaan, N. Tzirakis

In this paper we establish an almost optimal well-posedness and regularity theory for the Klein-Gordon-Schrödinger system on the half line. In particular we prove local-in-time wel…