个人简介
教育和工作经历
2018至今:北京师范大学化学学院
2014-2018:杜克大学博士后(合作导师:杨伟涛教授)
2012-2014:香港大学博士后(合作导师:胡浩教授)
2007-2012:北京师范大学化学学院,获理学博士学位(导师:方维海教授)
2003-2007:北京师范大学化学学院,获理学学士学位
主持在研项目
国家自然科学基金青年项目:激发态力场方法及其在非绝热动力学中的应用,2020-2022
北京师范大学引进人才科研启动项目:理论与计算光化学的方法学研究,2019-2024
研究领域
理论与计算化学。致力于发展和实现适用于复杂化学体系的计算方法,包括:多尺度计算模型,基于增强抽样的分子模拟,非绝热动力学模拟与速率计算,计算化学中的机器学习。其目标是同时提升现有理论方法的精度和效率,拓展其涵盖的空间和时间尺度,进而探索各类化学反应特别是光化学体系的反应机制
近期论文
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Lin Shen and Hao Hu*. Resolution-adapted all-atomic and coarse-grained model for biomolecular simulations. J. Chem. Theory Comput., 10, 2528 (2014).
Hao Hu* and Lin Shen. In silico concurrent multisite pH titration in proteins. J. Comput. Chem., 35, 1491 (2014).
Lin Shen and Weitao Yang*. Quantum mechanics / molecular mechanics method combined with hybrid all-atom and coarse-grained model: theory and application on redox potential calculations. J. Chem. Theory Comput., 12, 2017 (2016).
Lin Shen, Jingheng Wu, and Weitao Yang*. Multiscale quantum mechanics / molecular mechanics simulations with neural networks. J. Chem. Theory Comput., 12, 4934 (2016).
Liangxu Xie#, Lin Shen#, Zhe-Ning Chen*, and Mingjun Yang*. Efficient free energy calculations by combining two complementary tempering sampling methods. J. Chem. Phys., 146, 024103 (2017).
Lin Shen and Weitao Yang*. Molecular dynamics simulations with quantum mechanics / molecular mechanics and adaptive neural networks. J. Chem. Theory Comput., 14, 1442 (2018).
Lin Shen, Xiancheng Zeng, Hao Hu, Xiangqian Hu, and Weitao Yang*. Accurate quantum mechanical / molecular mechanical calculations of reduction potentials in azurin variants. J. Chem. Theory Comput., 14, 4948 (2018).
Pan Zhang, Lin Shen, and Weitao Yang*. Solvation free energy calculations with quantum mechanics / molecular mechanics and machine learning models. J. Phys. Chem. B, 123, 901 (2019).
Lishuang Ma, Wei-Hai Fang, Lin Shen*, and Xuebo Chen*. Regulatory mechanism and kinetic assessment of energy transfer catalysis mediated by visible light. ACS Catal., 9, 3672 (2019).
Lin Shen, Diandong Tang, Binbin Xie, and Wei-Hai Fang*. Quantum trajectory mean-field method for nonadiabatic dynamics in photochemistry (Feature Article). J. Phys. Chem. A, 123, 7337 (2019).