教育和工作经历
1. 2021.12-至今,预聘副教授,北京理工大学前沿交叉科学院
2. 2019.11-2021.10,博士后,University of Liege (比利时列日大学),凝聚态物理方向
3. 2015.09-2019.06,博士,北京理工大学,力学专业
4. 2013.07-2015.03,硕士(联合培养)中国科学院宁波材料技术与工程研究所,材料物理与化学专业
5. 2012.09-2015.06,硕士,汕头大学,材料物理与化学专业
主讲课程
1.《材料科学中的机器学习算法与实践》,2024-2025,2学期,100302207
研究方向
主要聚焦于新型半导体材料的铁电、压电、介电、光电、力学、热导率等基本物性的第一性原理模拟与机器学习研究。
1. 铁电压电材料多尺度模拟
2. 机器学习
3. 机器学习力场
团队介绍
https://tmm-group.github.io
论文
2014年至今,以第一作者及通讯作者(含共同)在Science Advances,Physical Review B,Applied Physics Letters,Journal of the American Chemical Society,Advanced Functional Materials,Materials Horizons,ACS Energy Letters,Nano Letters等国际期刊发表SCI论文30余篇,代表性学术成果包括:
1. Gang Tang*, Xiaohan Liu, Shihao Wang, Tao Hu, Chunbao Feng, Cheng Zhu, Bonan Zhu, Jiawang Hong*. Designing antiperovskite derivatives via atomic-position splitting for photovoltaic applications. Materials Horizons 2024, 11, 5320-5330.
2. Huan Liu, Lixiang Rao*, Junjie Qi*, Gang Tang*, First-Principles Insights into Monolayer Bi2XO5 (X = Se, Te) as High-k Gate Dielectrics for 2D Electronics, Applied Physics Letters 2025, 126, 072901.
3. Shihao Wang, Zunyi Deng, Shuhan Li, Peng Lv, Jing Wang, Xueyun Wang, Gang Tang*, Jiawang Hong*. First-principles insights into the ferroelectric, dielectric, and piezoelectric properties of polar Pca21 SbN. Physical Review B 2023, 108, 174110.
4. Qi Ren, Yongheng Li, Yingzhuo Lun, Gang Tang*, Jiawang Hong*. First-principles study of the lattice thermal conductivity of the nitride perovskite LaWN3. Physical Review B 2023, 107, 125206.
5. Dan Han*, Chunbao Feng, Mao-Hua Du, Tao Zhang, Shizhe Wang, Gang Tang*, Thomas Bein, Hubert Ebert. Design of High-Performance Lead-Free Quaternary Antiperovskites for Photovoltaics via Ion Type Inversion and Anion Ordering. Journal of the American Chemical Society 2021, 143, 12369-12379.
获奖
2019年 北京市优秀毕业生