activity
20242026
collaborators

5 papers

physics.app-ph2026

A scalable infrastructure for strontium optical clocks with integrated photonics

Zheng Luo, Travis C. Briles, Zachary L. Newman +16

Optical atomic clocks provide exceptionally accurate and precise signals for timekeeping and precision measurements, but they require high-power, free-space laser configurations th…

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

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-sci2025

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…

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…