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cond-mat.mtrl-sci2026★ 1 cited
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…
cond-mat.mtrl-sci2024
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…