33 citations · 61 across the 7 of their papers we have counts for
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physics.flu-dyn2020★ 8 cited
Generative Adversarial Networks with Physical Evaluators for Spray Simulation of Pintle Injector
Hao Ma, Botao Zhang, Chi Zhang +1
Due to the adjustable geometry, pintle injectors are specially suitable for the liquid rocket engines which require a widely throttleable range. While applying the conventional com…
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…