Xue-Feng Yu

发表

Machine learning accelerated carbon neutrality research using big data—from predictive models to interatomic potentials

Jonathan P. Mailoa, Haitao Zhao, Lingjun Wu, 2022, Science China Technological Sciences.

Emerging Synthesis Strategies of 2D MOFs for Electrical Devices and Integrated Circuits.

Zixuan Wang, Yaping Du, Haitao Zhao, 2022, Small.

Data‐Driven Materials Innovation and Applications

C. Pang, Shuzhou Li, Haitao Zhao, 2022, Advanced materials.

The data-intensive scientific revolution occurring where two-dimensional materials meet machine learning

Dawei Tang, C. Pang, Haitao Zhao, 2021, Cell Reports Physical Science.

2D materials inks toward smart flexible electronics

Z. Yin, Libo Gao, Jiahong Wang, 2021, Materials Today.

Integration of data-intensive, machine learning and robotic experimental approaches for accelerated discovery of catalysts in renewable energy-related reactions

Junming Shao, Kaili Liu, Cheng Heng Pang, 2021, Materials Reports: Energy.

Catalytic Effects of Electrodes and Electrolytes in Metal–Sulfur Batteries: Progress and Prospective

Guangmin Zhou, L. Zeng, Jianhui Zhu, 2022, Advanced materials.

A robotic platform for the synthesis of colloidal nanocrystals

M. Adam, Hao Huang, C. Pang, 2023, Nature Synthesis.

Robotic Platform for Accelerating the High-throughput Study of Silver Nanocrystals in Sensitive/Selective Hg2+ Detection

Lixiang Xing, Haitao Zhao, Zijian Chen, 2023, Chemical Engineering Journal.