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Boosting interfacial S-scheme charge transfer and photocatalytic H_(2)-production activity of 1D/2D WO_(3)/g-C_(3)N_(4)heterojunction by molecular benzene-rings integration 被引量:2
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作者 Xiaojie Mo Xiaohan Zhang +5 位作者 Biyun Lin Chuangyu Ning Ming Li Hua Liao Zhihong Chen Xin Wang 《Journal of Materials Science & Technology》 SCIE EI CAS CSCD 2023年第14期174-184,共11页
A novel benzene-ring engineered 1D/2D WO_(3)/g-C_(3)N_(4)S-scheme photocatalyst(BCNW)was rationally de-signed and successfully synthesized by the electrostatic self-assembly method.Experimental and Density Functional ... A novel benzene-ring engineered 1D/2D WO_(3)/g-C_(3)N_(4)S-scheme photocatalyst(BCNW)was rationally de-signed and successfully synthesized by the electrostatic self-assembly method.Experimental and Density Functional Theory results reveal that the integration of molecular benzene-ring in the framework of g-C_(3)N_(4)can not only narrow its bandgap and accelerate charge separation by forming a mid-state at the top of its valence band but more importantly open up a new additional bridge for speeding up the interfacial S-scheme charge transfer in BCNW.Benefitting from those multiple positive effects of benzene-ring inte-gration,as expected,BCNW S-scheme photocatalysts show superior photocatalytic H_(2)-production activity and reach 2971μmol h^(-1)g^(-1)under visible-light illumination,which is 3.35 times WO_(3)/g-C_(3)N_(4)S-scheme photocatalyst without benzene-ring integration.This work supplies an innovative strategy for the design of a high-efficiency S-scheme photocatalytic system by constructing a facile and additional molecular charge transfer channel at the interface. 展开更多
关键词 S-scheme heterojunction benzene-ring Molecular charge transfer channel Photocatalytic H_(2)-production
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基于几何纹理与Anscombe变换的蜂窝材料太赫兹图像降噪模型
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作者 孙凤山 范孟豹 +2 位作者 曹丙花 叶波 刘林 《机械工程学报》 EI CAS CSCD 北大核心 2021年第22期96-105,共10页
为解决太赫兹(Terahertz,THz)图像内泊松高斯混合噪声导致芳纶纤维蜂窝材料脱粘缺陷轮廓检测精度低的问题,基于Anscombe变换与小波阈值法构建了THz图像降噪模型。高斯噪声方差为降噪模型的必要参数,但实际THz图像噪声分布未知,且噪声与... 为解决太赫兹(Terahertz,THz)图像内泊松高斯混合噪声导致芳纶纤维蜂窝材料脱粘缺陷轮廓检测精度低的问题,基于Anscombe变换与小波阈值法构建了THz图像降噪模型。高斯噪声方差为降噪模型的必要参数,但实际THz图像噪声分布未知,且噪声与纹理在高频混叠,给方差准确估计提出了挑战。为此,首先以样件纹理几何形状为先验信息,构造Benzene-ring算子去除THz图像纹理,使其小波域高频分量中仅含有噪声;然后提出改进的Logistic混沌映射提高样本集的多样性,以训练Elman神经网络准确建立高频分量与高斯噪声方差间映射关系;最后依据噪声方差估计值,基于Anscombe变换将泊松高斯混合噪声转化为高斯噪声,并利用小波阈值法与Anscombe逆变换得到了最终THz降噪图像。仿真与试验结果表明,所提出的方法降噪效果最佳并有效提高缺陷轮廓检测精度,相比于高斯滤波、小波阈值以及非局部均值法,平均梯度指标分别提升12%、33%、9%,缺陷面积绝对误差分别降低234 mm^(2)、304 mm^(2)、263 mm^(2)。 展开更多
关键词 太赫兹无损检测 泊松高斯混合噪声 benzene-ring算子 噪声估计 图像降噪
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