Perform atomistic simulation (classical MD, reaxFF, DFT, AIMD) to explore the effects of nanoconfinement and surface chemistry on the structure, diffusion, and permeation of hydrated ions.
Selected Paper: ACS AMI 10, 27801-27809 (2018); PR Research 2, 042034(R) (2020); Langmuir 37, 43, 12577–12585 (2021); JPCB 125, 34, 9824–9833 (2021); Inorg. Chem. 2023, 62, 43, 17756–17765; Appl. Surf. Sci., 652, 159311(2024); J. Am. Chem. Soc (2024).
Based on the understanding of mass transport of confined molecules, design nano-fluidic devices and membranes for ions/gas/molecule separation with high selectivity and permeation.
Selected Paper: JPCC 124, 8, 4890-4898 (2020); ACS Nano 12, 5385-5393 (2018); JMCA 7, 15062 (2019); ACS Nano 16, 6, 9142–9149 (2022); Sep. Purif. Technol., 304, 122321 (2023); Nano Energy, 105, 108011 (2023); J. Am. Chem. Soc., 145, 51, 28038–28048 (2023); Science Advances 10, 24 ,eadm9620, (2024)
Design novel nano-fluidic devices to mimic the functions of bio-channel (water channel, K+/Na+ channel, and so on) or electronic systems (logic gate, memristors, and so on) using the principles of nanoconfined ions.
Selected Paper: Nano Lett. 20, 11, 8392–8398 (2020); Nanoscale 12, 6512-6521 (2020); Nat. Commun., 15, 608 (2024); JPCL (2024).
4. Advanced Calculation about Water and Hydrated ions
Calculate the details of the structure and dynamics of water and hydrated ions using advanced calculation methods, such as ab initio MD (AIMD), path-integral MD (PIMD), machine-learning potential (MLP), enhanced-sampling MD (ESMS), and so on.
Selected Paper: JPCB, 126, 10471–10480 (2022); JCP, 159, 024707, (2023); Inorg. Chem., 62, 43, 17756–17765 (2023); J. Chem. Theory Comput. (2024)a, J. Chem. Theory Comput. (2024)b.
Find novel materials and exotic properties using data-driven methods, such as high-throughput computations, data mining, machine learning, and so on. Find the hidden physics in the data.
Selected Paper: Chem. Mater. 34, 10, 4344–4354 (2022); JPCC 125, 48, 26778-26784 (2021); Extreme Mech. Lett., 57, 101921 (2022), Nat. Commun. 15,6977 (2024)
Tian Shun (PhD student, 2021-, co-advised with Prof. Liu Yilun from XJTU)
Publications: 1. S. Tian, K. Zhou* et al, Extreme Mech. Lett., 57, 101921 (2022); 2. S. Tian, K. Zhou* et al, Nat. Commun. 15,6977 (2024)
Wang Chenyu (Master student, 2023-)
Publications: 1. C. Wang, W. Tian, K. Zhou*, J. Chem. Theory Comput. (2024)a.
Tian Wei (Master student, 2023-)
Publications: 1. W. Tian, C. Wang, K. Zhou*, J. Chem. Theory Comput. (2024)b.
Lian Junyu (Master student, 2023-, visiting student, co-advised with Prof. Jiao Shuping from Shanghai University)
Publications: 1. J. Lian, S. Jiao*, K. Zhou*, (Under Revision).
Chen Guangming (Master student, 2024-)
Zhang Chongyang (Master student, 2025-)
Jie Chen (Master student, 2025-)