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

20 citations · 20 across the 2 of their papers we have counts for

collaborators
Showing physics.comp-phShow all

1 paper · 1 filter

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…