Optimizing Spectral Properties of Cesium Tungsten Bronze Films Doped with Silver Nanowires Based on the Machine Learning Method

IF 3.3 3区 化学 Q2 CHEMISTRY, PHYSICAL The Journal of Physical Chemistry C Pub Date : 2024-09-11 DOI:10.1021/acs.jpcc.4c03634
Zeming He, Wenxi Xie, Siyang Zhang, Yin Gao, Ashraf Y. Elnaggar, Juanna Ren, Islam H. El Azab, Zeinhom M. El-Bahy, Ming Yang, Hang Zhang, Zhanhu Guo
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Abstract

Glass exhibits high transmittance in the solar radiation band but high absorbance in the mid-far infrared (MIR) band, which causes a poor energy-saving effect. Thermal insulation coatings offer the most effective solution to address this. Among these, nano-cesium tungsten bronze (CsxWO3) had a strong blocking effect in the solar radiation band due to its intrinsic absorption, local surface plasmon resonance, and small polaron absorption, but its reflectivity in the MIR band was very low. Conversely, silver nanowires (AgNWs) formed a dense network structure with low transmittance and high reflectance in the MIR band; however, when mixed into Cs0.32WO3 slurries, the solar radiation-blocking ability was weakened. In order to assess the impact of AgNWs on the properties of Cs0.32WO3 films, this study collected experimental data from different Cs0.32WO3 films doped with AgNWs for multilayer perceptron (MLP) neural network machine learning. The trained models exhibited efficient and accurate prediction abilities. A large number of extrapolated independent variables were input to the trained MLP models using the grid search method, and then the predicted results of dependent variables were displayed in three-dimensional (3D) models to more intuitively show the influence of doping AgNWs on the optical performance of different Cs0.32WO3 films. Through an optimization analysis of two 3D models of T550 nm (transmittance at 550 nm) and SC (shading coefficient), two transition values of T550 nm were found: 69.5 and 64.2%. When T550 nm surpassed 69.5%, the SC value of nondoped Cs0.32WO3 films was the lowest. Conversely, when T550nm was below 69.5%, doping with AgNWs decreased the SC value of Cs0.32WO3 films. Using the optimal mixture of Cs0.32WO3 slurries and AgNW slurry at a ratio of 1:3, the SC value of nondoped Cs0.32WO3 films was lower when T550nm exceeded 64.2%. Conversely, when T550 nmwas below 64.2%, the same mixture resulted in a lower SC value. These predicted results and their accuracy were verified by experiments and provided important technical guidance and method support for future research and the application of high-performance Cs0.32WO3 films.

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基于机器学习方法优化掺银纳米线的铯钨青铜薄膜的光谱特性
玻璃在太阳辐射波段具有高透射率,但在中远红外(MIR)波段具有高吸收率,因此节能效果不佳。隔热涂层为解决这一问题提供了最有效的方案。其中,纳米铯钨青铜(CsxWO3)由于其本征吸收、局部表面等离子共振和小极子吸收,在太阳辐射波段具有很强的阻挡作用,但在中远红外波段的反射率很低。相反,银纳米线(AgNWs)形成了致密的网络结构,在中红外波段具有低透射率和高反射率,但当混入 Cs0.32WO3 泥浆中时,其阻挡太阳辐射的能力减弱。为了评估 AgNWs 对 Cs0.32WO3 薄膜性能的影响,本研究收集了掺杂 AgNWs 的不同 Cs0.32WO3 薄膜的实验数据,用于多层感知器(MLP)神经网络机器学习。训练后的模型表现出高效、准确的预测能力。利用网格搜索法将大量外推的自变量输入到训练好的 MLP 模型中,然后将因变量的预测结果显示在三维(3D)模型中,从而更直观地显示掺杂 AgNWs 对不同 Cs0.32WO3 薄膜光学性能的影响。通过对 T550 nm(550 nm 波长透过率)和 SC(遮光系数)两个三维模型的优化分析,找到了 T550 nm 波长的两个过渡值:69.5% 和 64.2%。当 T550 nm 超过 69.5% 时,未掺杂 Cs0.32WO3 薄膜的 SC 值最低。相反,当 T550 nm 低于 69.5% 时,掺入 AgNWs 会降低 Cs0.32WO3 薄膜的 SC 值。使用 Cs0.32WO3 浆料和 AgNW 浆料以 1:3 的最佳比例混合,当 T550 nm 超过 64.2% 时,未掺杂 Cs0.32WO3 薄膜的 SC 值较低。相反,当 T550 nm 低于 64.2% 时,相同的混合物会导致较低的 SC 值。这些预测结果及其准确性得到了实验的验证,为今后高性能 Cs0.32WO3 薄膜的研究和应用提供了重要的技术指导和方法支持。
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来源期刊
The Journal of Physical Chemistry C
The Journal of Physical Chemistry C 化学-材料科学:综合
CiteScore
6.50
自引率
8.10%
发文量
2047
审稿时长
1.8 months
期刊介绍: The Journal of Physical Chemistry A/B/C is devoted to reporting new and original experimental and theoretical basic research of interest to physical chemists, biophysical chemists, and chemical physicists.
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