Department of Mechanical Engineering, University of Alberta, Edmonton AB T6G 1H9, Canada.
Department of Electrical and Computer Engineering, University of Alberta, Edmonton AB T6G 1H9, Canada.
J Colloid Interface Sci. 2023 Jan 15;630(Pt B):900-910. doi: 10.1016/j.jcis.2022.10.150. Epub 2022 Nov 7.
The superiority of graphitic carbon nitride (g-CN) nanosheet results from its large specific surface area, which can be achieved by exfoliation of the bulk layered structure. Liquid-phase exfoliation (LPE) is the best-known method for the synthesis of two-dimensional (2D) g-CN nanosheets. However, experimental investigations do not allow for a molecular-level understanding of the process. Molecular dynamics (MD) simulations are expected to provide microscopic insights and quantitative evaluation of the energy consumption during LPE, thus facilitating the search of effective solvents for the LPE of 2D materials.
MD simulations are carried out to simulate the LPE process by performing potential of mean force calculations for the separation of two stacked g-CN nanosheets. Free energy of exfoliation is evaluated and compared among nine common solvents with distinct molecular structures.
The most probable path for the exfoliation process is identified. The free energy of exfoliation is found to correlate directly with the solvent free energy of a single g-CN nanosheet. The solvation is enthalpy-driven and affected by the mobility of the solvent molecules around the nanosheet. Based on the MD results, several strategies are proposed to guide the selection of solvents for effective LPE.
石墨相氮化碳(g-CN)纳米片的优势源于其较大的比表面积,可以通过剥离其体层结构来实现。液相剥离(LPE)是合成二维(2D)g-CN 纳米片的最常用方法。然而,实验研究无法实现对该过程的分子水平理解。分子动力学(MD)模拟有望提供微观见解和对 LPE 过程中能量消耗的定量评估,从而促进寻找用于 2D 材料 LPE 的有效溶剂。
通过对两个堆叠的 g-CN 纳米片进行平均力势计算,进行 MD 模拟以模拟 LPE 过程。评估了剥离自由能并在具有不同分子结构的九种常见溶剂之间进行了比较。
确定了最有可能的剥离过程路径。发现剥离自由能与单个 g-CN 纳米片的溶剂自由能直接相关。溶剂化是焓驱动的,受纳米片周围溶剂分子的迁移性影响。基于 MD 结果,提出了几种策略来指导有效 LPE 溶剂的选择。