2 citations · 2 across the 3 of their papers we have counts for
3 papers
cs.LG2022
Accelerating Inverse Learning via Intelligent Localization with Exploratory Sampling
Jiaxin Zhang, Sirui Bi, Victor Fung
In the scope of "AI for Science", solving inverse problems is a longstanding challenge in materials and drug discovery, where the goal is to determine the hidden structures given a…
cond-mat.mtrl-sci2022★ 2 cited
Atomic structure generation from reconstructing structural fingerprints
Victor Fung, Shuyi Jia, Jiaxin Zhang +3
Data-driven machine learning methods have the potential to dramatically accelerate the rate of materials design over conventional human-guided approaches. These methods would help…
cond-mat.mtrl-sci2021
Inverse design of two-dimensional materials with invertible neural networks
Victor Fung, Jiaxin Zhang, Guoxiang Hu +2
The ability to readily design novel materials with chosen functional properties on-demand represents a next frontier in materials discovery. However, thoroughly and efficiently sam…