Wang Qiong, Wang Guan, Lu Xuefeng, Su Lei, Wang Hongjie
Key Laboratory of Intelligent Analysis Decision on Complex Systems, Chongqing University of Posts and Telecommunications, Chongqing 400065, China.
College of Computer Science and Technology, Chongqing University of Posts and Telecommunications, Chongging 400065, China.
ACS Appl Mater Interfaces. 2024 Oct 30;16(43):57972-57980. doi: 10.1021/acsami.4c13946. Epub 2024 Oct 18.
Searching for lightweight and high-temperature stable electromagnetic wave-absorbing materials with broad absorbing bandwidth and high efficiency is of significance for applications in daily life and industry. Optimizing the dielectric properties of SiC nanowire aerogel by both compositional and structural designs is an efficient way to obtain simultaneous efficient wave-dissipation ability and good impendence matching and thus the desired properties. However, due to the complex effects of dielectric parameters on the wave-absorbing properties, rational design of high-performance electromagnetic wave-absorbing materials remains challenging. Herein, we propose a genetic algorithm-based approach to predict broadband and highly efficient electromagnetic wave-absorbing materials in a SiC@SiO nanowire aerogel-based system. The obtained SiC@SiO nanowire aerogels exhibit a gradient multilayered structure with a low dielectric outer layer, a medium layer with alternatively distributed electromagnetic wave transparent and attenuation layers, and an inner high attenuation layer, giving it a broadband electromagnetic wave-absorbing performance covering almost all the 2-18 GHz bandwidth and simultaneous high efficiency. The results show that the genetic algorithm-based approach is efficient in predicting high-performance electromagnetic wave-absorbing ceramic aerogels.
寻找具有宽吸收带宽和高效率的轻质且高温稳定的电磁波吸收材料对于日常生活和工业应用具有重要意义。通过成分和结构设计来优化碳化硅纳米线气凝胶的介电性能是获得同时高效的波耗散能力和良好阻抗匹配从而实现所需性能的有效途径。然而，由于介电参数对吸波性能的复杂影响，高性能电磁波吸收材料的合理设计仍然具有挑战性。在此，我们提出一种基于遗传算法的方法来预测基于碳化硅@二氧化硅纳米线气凝胶系统中的宽带和高效电磁波吸收材料。所获得的碳化硅@二氧化硅纳米线气凝胶呈现出梯度多层结构，外层介电常数低，中间层具有交替分布的电磁波透明层和衰减层，以及内层高衰减层，使其具有覆盖几乎整个2-18GHz带宽的宽带电磁波吸收性能且同时具有高效率。结果表明，基于遗传算法的方法在预测高性能电磁波吸收陶瓷气凝胶方面是有效的。
