12 citations · 12 across the 1 of their papers we have counts for
2 papers
cs.LG2021★ 12 cited
Solving Partial Differential Equations with Point Source Based on Physics-Informed Neural Networks
Xiang Huang, Hongsheng Liu, Beiji Shi +11
In recent years, deep learning technology has been used to solve partial differential equations (PDEs), among which the physics-informed neural networks (PINNs) emerges to be a pro…
eess.IV2018
U-SLADS: Unsupervised Learning Approach for Dynamic Dendrite Sampling
Yan Zhang, Xiang Huang, Nicola Ferrier +2
Novel data acquisition schemes have been an emerging need for scanning microscopy based imaging techniques to reduce the time in data acquisition and to minimize probing radiation…