most citedData-driven active learning approaches for accelerating materials discovery

1 citations · 1 across the 2 of their papers we have counts for

collaborators

2 papers

cond-mat.mtrl-sci2026

Data-knowledge dual-driven intelligent framework for full-chain, experiment-efficient synthesis of 2D dendrites

Wenqiang Huang, Susu Fang, Xuhang Gu +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…

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…