most citedPhysics-driven Learning of the Steady Navier-Stokes Equations using Deep Convolutional Neural Networks

33 citations · 53 across the 2 of their papers we have counts for

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physics.comp-ph2020★ 20 cited

A Combined Data-driven and Physics-driven Method for Steady Heat Conduction Prediction using Deep Convolutional Neural Networks

Hao Ma, Xiangyu Hu, Yuxuan Zhang +2

With several advantages and as an alternative to predict physics field, machine learning methods can be classified into two distinct types: data-driven relying on training data and…