Development of nanoporous carbon models with tunable pore structures via the random packing-virtual atom method

IF 4.8 3区 材料科学 Q1 CHEMISTRY, APPLIED
Yihuan Zhou, Qiang Xie, Dingcheng Liang, Hongyang Zhou, Jinchang Liu, Yutong Sha, Bingjie Wang, Shimei Gu
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Abstract

Nanoporous carbon (NPC) is widely utilized due to its highly developed pore structure. The complex structure-property relationships of NPC necessitate simulation methods to complement experimental approaches, with structural model construction serving as the foundation. Regulating pore structures during construction of NPC models poses a significant challenge, and existing strategies for introducing pores have inherent limitations. In this work, NPC models were constructed using the random packing method, incorporating virtual atoms (VAs) to regulate pore development, achieving targeted control over the pore structure. The results indicate that the system density is a critical factor in determining the porosity range of NPC models, whereas VAs provide an effective means to regulate pore characteristics. By adjusting the number and radius of VAs, the pore characteristics of the models can be tuned, although their effects on different features vary. The number of VAs significantly influences SSA, which increases with the number of VAs, whereas VA radius predominantly affects porosity, increasing as the radius expands. Furthermore, the NPC-SDG-AC model was developed with an SSA of 968 m2/g and a pore size distribution consistent with actual microporous distribution. NPC-1, NPC-2, and NPC-3 models were also constructed, exhibiting mesoporous, large microporous, and small microporous characteristics.

Abstract Image

通过随机填料-虚拟原子法开发具有可调孔隙结构的纳米多孔碳模型
纳米多孔碳(NPC)因其高度发达的孔隙结构而得到广泛应用。由于 NPC 复杂的结构-性能关系,有必要使用模拟方法来补充实验方法,而结构模型的构建则是基础。在构建 NPC 模型的过程中调节孔隙结构是一项重大挑战,而现有的引入孔隙策略存在固有的局限性。在这项工作中,我们使用随机堆积法构建了核聚变模型,并结合虚拟原子(VAs)来调节孔隙的发展,从而实现了对孔隙结构的定向控制。结果表明,系统密度是决定 NPC 模型孔隙率范围的关键因素,而虚拟原子则是调节孔隙特征的有效手段。通过调整 VAs 的数量和半径,可以调整模型的孔隙特征,尽管它们对不同特征的影响各不相同。VA的数量对SSA的影响很大,SSA随VA数量的增加而增加,而VA半径主要影响孔隙度,随着半径的扩大而增加。此外,NPC-SDG-AC 模型的 SSA 为 968 m2/g,孔径分布与实际微孔分布一致。此外,还构建了 NPC-1、NPC-2 和 NPC-3 模型,它们分别显示了介孔、大微孔和小微孔特征。
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来源期刊
Microporous and Mesoporous Materials
Microporous and Mesoporous Materials 化学-材料科学:综合
CiteScore
10.70
自引率
5.80%
发文量
649
审稿时长
26 days
期刊介绍: Microporous and Mesoporous Materials covers novel and significant aspects of porous solids classified as either microporous (pore size up to 2 nm) or mesoporous (pore size 2 to 50 nm). The porosity should have a specific impact on the material properties or application. Typical examples are zeolites and zeolite-like materials, pillared materials, clathrasils and clathrates, carbon molecular sieves, ordered mesoporous materials, organic/inorganic porous hybrid materials, or porous metal oxides. Both natural and synthetic porous materials are within the scope of the journal. Topics which are particularly of interest include: All aspects of natural microporous and mesoporous solids The synthesis of crystalline or amorphous porous materials The physico-chemical characterization of microporous and mesoporous solids, especially spectroscopic and microscopic The modification of microporous and mesoporous solids, for example by ion exchange or solid-state reactions All topics related to diffusion of mobile species in the pores of microporous and mesoporous materials Adsorption (and other separation techniques) using microporous or mesoporous adsorbents Catalysis by microporous and mesoporous materials Host/guest interactions Theoretical chemistry and modelling of host/guest interactions All topics related to the application of microporous and mesoporous materials in industrial catalysis, separation technology, environmental protection, electrochemistry, membranes, sensors, optical devices, etc.
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