学习经历：

2016年9月至2020年6月，哈尔滨师范大学大学，材料化学专业，学士；

2020年9月至2023年6月，哈尔滨师范大学，物理化学专业，硕士;

2023年9月-，吉林大学，材料物理与化学，博士

研究方向：材料计算机模拟、机器学习结合密度泛函理论模拟设计新型电催化材料

科研成果：

学术论文：

1. Single Ir atom anchored in pyrrolic-N4 doped graphene as a promising bifunctional electrocatalyst for the ORR/OER: a computational study. J. Colloid Interface Sci., 2022, 607(2): 1005-1013.

2. Single-atom rhodium anchored on S-doped black phosphorene as a promising bifunctional electrocatalyst for overall water splitting. Chin. Chem. Lett., 2022, 34(7): 107812.

3. Engineering d-band center of iron single atom site through boron incorporation to trigger the efficient bifunctional oxygen electrocatalysis, J. Colloid Interface Sci., 2022, 628, 331-342.

4. A NiN₃-embedded MoS₂ monolayer as a promising electrocatalyst with high activity for the oxygen evolution reaction: a computational study. Sustain. Energy Fuels., 2021, (5) 3330-3339.

5. Phthalocyanine-supported single-atom catalysts as a promising bifunctional electrocatalyst for ORR/OER: A computational study. ChemPhysMater, 2022, Online.

6. Machine-Learning-Accelerated Screening of Single Metal Atoms Anchored on MnPS₃ Monolayer as Promising Bifunctional Oxygen Electrocatalysts. Nanoscale, 2023, 15, 11616–11624.