慕尼黑工业大学博士（2022）

德国马普学会Fritz-Haber研究所博士后（2022-2023） 

美国劳伦斯伯克利国家实验室博士后（2023-2025）

厦门大学教授（2025- ）

计算化学，人工智能， 科学智能，计算催化，能源化学，能源存储与转换

1.  Predicting Binding Motifs of Complex Adsorbates Using Machine Learning with a Physics-inspired Graph Representation. Nat. Comput. Sci., 2, 443 (2022)

2. Spin-informed universal graph neural networks for simulating magnetic ordering. Proc. Natl. Acad. Sci., 122,  e2422973122 (2025)

3. Discovering high entropy alloy electrocatalysts in vast composition spaces with multi‐objective optimization. J. Am. Chem. Soc., 146, 7698 (2024)

4. Data‐Driven Descriptor Engineering and Refined Scaling Relations for Predicting Transition Metal Oxide Reactivity. ACS Catal., 11, 734 (2021)

5. Negatively charged nanoporous membrane for a dendrite-free alkaline zinc-based flow battery with long cycle life. Nat. Commun., 9, 3731 (2018)