565 citations · 777 across the 5 of their papers we have counts for
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cs.LG2019★ 5 cited
Learning to Discretize: Solving 1D Scalar Conservation Laws via Deep Reinforcement Learning
Yufei Wang, Ziju Shen, Zichao Long +1
Conservation laws are considered to be fundamental laws of nature. It has broad applications in many fields, including physics, chemistry, biology, geology, and engineering. Solvin…
cs.LG2018★ 565 cited
PDE-Net 2.0: Learning PDEs from Data with A Numeric-Symbolic Hybrid Deep Network
Zichao Long, Yiping Lu, Bin Dong
Partial differential equations (PDEs) are commonly derived based on empirical observations. However, recent advances of technology enable us to collect and store massive amount of…