周跫桦,副教授/博士,博士生导师
2017年6月博士毕业于welcome皇冠地址登录入口,主要从事基于机器学习算法的材料筛选、二维材料的模拟与设计方面的研究工作。发表SCI论文40余篇,其中以第一/共一/通讯作者身份发表SCI论文20余篇。包括Nat. Commun.、Adv. Mater.、Angew. Chem. Int. Ed.、J. Phys. Chem. Lett.等。
研究领域:
(1)基于机器学习算法的材料筛选,包括二维材料、钙钛矿材料等。
(2)二维材料的环境降解机制与保护策略。
工作经历:
2017/7 - 至今
welcome皇冠地址登录入口
教育经历:
2011/9 – 2017/6 welcome皇冠地址登录入口,博士,物理学
2016/9 – 2010/6 皇冠hg8868登录入口物理系,学士,物理学
科研项目:
国家自然科学基金青年项目,2021.01-2023.12,主持,在研。
江苏省自然科学基金青年项目,2018.07-2021.06,主持,结题。
部分学术成果:
(1) Qionghua Zhou, Qian Chen*, Yilong Tong, Jinlan Wang*, Light-Induced Ambient Degradation of Few-Layer Black Phosphorus: Mechanism and Protection. Angew. Chem. Int. Ed., 2016, 55, 11437-11441.
(2) Shuaihua Lu#, Qionghua Zhou#, Yixin Ouyang, Yilv Guo, Qiang Li, Jinlan Wang*, Accelerated discovery of stable lead-free hybrid organic-inorganic perovskites via machine learning. Nat. Commun., 2018, 9, 3405.
(3) Shuaihua Lu#, Qionghua Zhou#, Yilv Guo, Yehui Zhang, Yilei Wu, Jinlan Wang*, Coupling a Crystal Graph Multilayer Descriptor to Active Learning for Rapid Discovery of 2D Ferromagnetic Semiconductors/Half-Metals/Metals. Adv. Mater. 2020, 32, 2002658.
(4) Qionghua Zhou#, Shuaihua Lu#, Yilei Wu, Jinlan Wang*, Property-Oriented Material Design Based on a Data-Driven Machine Learning Technique. J. Phys. Chem. Lett. 2020, 11, 3920-3927.
(5) Shuaihua Lu#, Qionghua Zhou#, Yilv Guo, Jinlan Wang*, On-the-fly interpretable machine learning for rapid discovery of two-dimensional ferromagnets with high Curie temperature. Chem, 2021, 8, 1-15.