A modelling algorithm for amorphous covalent triazine-based polymers

被引:3
|
作者
Song, Ce [1 ,2 ]
Hu, Fangyuan [3 ]
Meng, Zhaoliang [1 ]
Li, Shengming [4 ]
Zhang, Tianpeng [3 ]
Shao, Wenlong [2 ]
Liu, Siyang [3 ]
Jian, Xigao [1 ,2 ,3 ]
机构
[1] Dalian Univ Technol, Sch Math Sci, Dalian 116024, Peoples R China
[2] Dalian Univ Technol, Liaoning Prov Engn Res Ctr High Performance Resin, State Key Lab Fine Chem, Dalian 116024, Peoples R China
[3] Dalian Univ Technol, Sch Mat Sci & Engn, State Key Lab Fine Chem, Dalian 116024, Peoples R China
[4] Dalian Univ Technol, Sch Innovat & Entrepreneurship, Dalian 116024, Peoples R China
基金
中国国家自然科学基金;
关键词
ATOMISTIC STRUCTURE GENERATION; FRAMEWORKS; PERFORMANCE; ADSORPTION; SIMULATIONS; CAPTURE;
D O I
10.1039/d0cp01277g
中图分类号
O64 [物理化学(理论化学)、化学物理学];
学科分类号
070304 ; 081704 ;
摘要
Rational and purposeful designs of amorphous materials with desirable structures are difficult to implement due to the complex and unordered nature of such materials. In this work, a modelling algorithm was proposed for amorphous covalent triazine-based polymers to construct atomistic representative models that can reproduce the experimentally measured properties of experimental samples. The constructed models were examined through comparisons of simulated and experimental properties, such as surface area, pore volume, and structure factor, and further validated by the good consistency observed among these properties. To assess the predictive capability of the modelling algorithm, we used a new covalent triazine-based polymer and predicted its porosity by constructing a simulated model. The predicted results on the surface area and pore volume of the simulated model were quantitatively consistent with the experimental data derived from the experimentally synthesized sample. This consistency reveals the predictive capacity of the proposed modelling algorithm. The algorithm could be a promising approach to predict and develop advanced covalent triazine-based polymers for multiple applications.
引用
收藏
页码:23474 / 23481
页数:8
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