14 citations · 15 across the 5 of their papers we have counts for
4 papers · 1 filter
Data-knowledge dual-driven intelligent framework for full-chain, experiment-efficient synthesis of 2D dendrites
Wenqiang Huang, Xuhang Gu, Susu Fang +9
Exemplified by the chemical vapor deposition growth of two-dimensional dendrites, which has potential applications in catalysis and presents a parameter-intensive, data-scarce and…
Data-driven active learning approaches for accelerating materials discovery
Jiaxin Chen, Tianjiao Wan, Hui Geng +10
Materials discovery is a cornerstone of modern technological advancement, yet it remains constrained by traditional trial-and-error paradigms and the inherent bias of human intuiti…
Exploring structure diversity in atomic resolution microscopy with graph neural networks
Zheng Luo, Ming Feng, Zijian Gao +9
The emergence of deep learning (DL) has provided great opportunities for the high-throughput analysis of atomic-resolution micrographs. However, the DL models trained by image patc…
Auto-resolving the atomic structure at van der Waals interfaces using a generative model
Wenqiang Huang, Yuchen Jin, Zhemin Li +12
The high-resolution visualization of atomic structures is significant for understanding the relationship between the microscopic configurations and macroscopic properties of materi…