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Grand Canonical Monte Carlo Simulation of Nitrogen Adsorption in a Silica Aerogel Model

机译:硅胶气凝胶模型中氮吸附的大正则蒙特卡罗模拟

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In this paper, the Diffusion Limited Cluster Aggregation (DLCA) method is employed to reconstruct the three-dimensional network of silica aerogel. Then, simulation of nitrogen adsorption at 77 K in silica aerogel is conducted by the Grand Canonical Monte Carlo (GCMC) method. To reduce the computational cost and guarantee accuracy, a continuous-discrete hybrid potential model, as well as an adsorbed layer thickness estimation method, is employed. Four different structures are generated to investigate impacts of specific surface area and porosity on adsorptive capacity. Good agreement with experimental results is found over a wide range of relative pressures, which proves the validity of the model. Specific surface area and porosity mainly affect nitrogen uptake under low pressure and high pressure, respectively.
机译:本文采用扩散有限簇聚集法(DLCA)重建了二氧化硅气凝胶的三维网络。然后,通过Grand Canonical Monte Carlo(GCMC)方法对硅胶气凝胶中77 K的氮吸附进行了模拟。为了降低计算成本并保证准确性,采用了连续离散混合势模型以及吸附层厚度估算方法。生成了四个不同的结构来研究比表面积和孔隙率对吸附能力的影响。在较大的相对压力范围内发现与实验结果吻合良好,证明了该模型的有效性。比表面积和孔隙率分别主要影响低压和高压下的氮吸收。

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