Xiaonan Wang

Next-generation intelligent laboratories for materials design and manufacturing

Xiting Peng, Xiaonan Wang, 2023, MRS Bulletin.

Knowledge-integrated machine learning for materials: lessons from gameplaying and robotics

J. Kirkpatrick, Qianxiao Li, T. Buonassisi, 2023, Nature Reviews Materials.

The COVID-19 pandemic necessitates a shift to a plastic circular economy

Y. Ok, Xiangzhou Yuan, B. Sarkar, 2021, Nature Reviews Earth & Environment.

Self-Improving Photosensitizer Discovery System via Bayesian Search with First-Principle Simulations.

Bin Liu, Jiali Li, Xiaonan Wang, 2021, Journal of the American Chemical Society.

Atomic Design of Alkyne Semihydrogenation Catalysts via Active Learning.

Xuezhi Duan, Xiaohu Ge, Yueqiang Cao, 2024, Journal of the American Chemical Society.

Emerging Directions for Carbon Capture Technologies: A Synergy of High-Throughput Theoretical Calculations and Machine Learning.

Lanyu Li, Xiaonan Wang, Qi Lei, 2023, Environmental science & technology.