检索结果-内蒙古大学图书馆

Machine Learning for Organic Photovoltaic Polymers:A Minireview

Chinese Journal of Polymer science 2022年第8期40卷 870-876,I0006页

作者： Asif Mahmood Ahmad Irfan Jin-Liang Wang Beijing Key Laboratory of Photoelectronic/Electrophotonic Conversion Materials Key Laboratory of Medical Molecule Science and Pharmaceutics Engineering in Ministry of Industry and Information TechnologySchool of Chemistry and Chemical EngineeringBeijing Institute of TechnologyKey Laboratory of Cluster Science of Ministry of EducationBeijing100081China Department of Chemistry College of ScienceKing Khalid UniversityAbha61413Saudi Arabia

Machine learning is a powerful tool that can provide a way to revolutionize the material *** use for the designing and screening of materials for polymer solar cells is also *** of efficient polymeric materials for solar cells is really difficult *** have synthesized and fabricated so many *** the results and get feedback for further research requires an innovative *** this minireview,we provides brief introduction of machine *** importance of machine learning is also mentioned,and the application of machine learning for polymeric material design is *** key challenges that are hindering the wide spread use of machine are *** are also given to improve the use of data *** predictions using machine learning maybe not highly accurate but it definitely better than no prediction at all.

关键词： Machine learning Polymer solar cells Data science Descriptors Polymers

来源：评论

学校读者我要写书评

暂无评论

Microfluidics assisted optics manufacturing technique 2

Microfluidics assisted optics manufacturing technique

引用

2nd International Conference on Frontier Materials, ICFM 2023

作者： Long, Yan Dai, Bo Zhang, Dawei Engineering Research Center of Optical Instrument and System Ministry of Education Shanghai Key Laboratory of Modern Optical System University of Shanghai for Science and Technology Shanghai200093 China

The conventional micro/nano-manufacturing techniques can hardly process interior microstructures. The entire fabrication process is complex and requires large-footprint and high-cost equipment. The presented microfluidics assisted optics manufacturing technique is feasible to create the curved surface inside microstructure using various modified materials. The fabrication process is simple. Only small, low-cost devices are needed. In this paper, microfluidics assisted optics manufacturing technique is introduced in detail and compared with the current manufacturing techniques. A diversity of interesting micro-optics, including microlens array and compound eye, are demonstrated. These optical components are all fabricated by the microfluidics assisted manufacturing technique and possess their own outstanding features. © 2023 Published under licence by IOP Publishing Ltd.

关键词： Microfluidics

来源：评论

学校读者我要写书评

暂无评论

Hydrogen-assisted activation of N_(2)molecules on atomic steps of ZnSe nanorods

引用

Nano Research 2023年第5期16卷 6721-6727页

作者： Kun Du Xiuyao Lang Yuanyuan Yang Chuanqi Cheng Ning Lan Kangwen Qiu Jing Mao Weichao Wang Tao Ling Key Laboratory for Advanced Ceramics and Machining Technology of Ministry of Education Institute of New-EnergySchool of Materials Science and EngineeringTianjin UniversityTianjin 300072China Tianjin Key Laboratory of Photo-Electronic Thin Film Device and Technology College of Electronic Information and Optical Engineering Nankai UniversityTianjin 300071China College of Energy Engineering Huanghuai UniversityZhumadian 463000China

Electrochemical reduction reaction of nitrogen(NRR)offers a promising pathway to produce ammonia(NH_(3))from renewable ***,the development of such process has been hindered by the chemical inertness of N_(2).It is recently proposed that hydrogen species formed on the surface of electrocatalysts can greatly enhance ***,there is still a lack of atomiclevel connection between the hydrogenation behavior of electrocatalysts and their NRR ***,we report an atomistic understanding of the hydrogenation behavior of a highly twinned ZnSe(T-ZnSe)nanorod with a large density of surface atomic steps and the activation of N_(2)molecules adsorbed on its *** theoretical calculations and in situ infrared spectroscopic characterizations suggest that the atomic steps are essential for the hydrogenation of T-ZnSe,which greatly reduces its work function and efficiently activates adsorbed N_(2)***,the liquid-like and free water over T-ZnSe promotes its *** a result,T-ZnSe nanorods exhibit significantly enhanced Faradaic efficiency and NH3 production rate compared with the pristine ZnSe *** work paves a promising way for engineering electrocatalysts for green and sustainable NH3 production.

关键词： electrocatalytic nitrogen reduction reaction atomic steps work function ZnSe

来源：评论

学校读者我要写书评

暂无评论

Research on an automatic light field refocusing method for a camera array

引用

Optics Express 2025年第10期33卷 20964-20980页

作者： Pan, Yihua Zhao, Yushan Li, Yuyang Liu, Bin Chen, Ping Shanxi Key Laboratory of Intelligent Detection Technology & Equipment School of Information and Communication Engineering North University of China Shanxi Taiyuan030051 China Key Laboratory of Photoelectronic Imaging Technology System of Ministry of Education of China School of Optics and Photonics Beijing Institute of Technology Beijing100081 China State Key Laboratory of Extreme Environment Optoelectronic Dynamic Testing Technology and Instruments North University of China Shanxi Taiyuan030051 China

Light field information includes the position and angle information of light in space. A camera array is one of the methods for obtaining light field information, which combines and arranges multiple cameras in space to achieve multi-angle imaging of the same target. Based on the light field information, a computational imaging method can be used to achieve refocusing technology for a camera array (also known as optical synthetic aperture imaging technology). In this technology, by setting the focusing coefficient, the light field information can be focused on different depths. This mode is called taking photos first and focusing later. However, in order to focus on a specific object surface, traditional refocusing methods require users to manually adjust the focusing coefficient multiple times, which is time-consuming and user-unfriendly. Therefore, in this paper, we propose an automatic focusing method based on the optimal focusing coefficient map (OFCM) to address the manual refocusing problem. This method transforms the refocusing problem into obtaining the optimal focus coefficient map. In the process of solving OFCM, the threshold filtering method and the neighborhood filling method are used to optimize the results and improve the robustness of the proposed method. The experimental results show that our proposed method has higher imaging quality and faster running efficiency compared to automatic refocusing methods based on disparity maps and gradient functions. © 2025 Optica Publishing Group under the terms of the Optica Open Access Publishing Agreement.

关键词： Computational Imaging

来源：评论

学校读者我要写书评

暂无评论

One-DOF Rigid and Flat-Foldable Origami Polyhedrons with Slits

引用

Acta Mechanica Solida Sinica 2023年第4期36卷 479-490页

作者： Yuehao Zhang Yuanqing Gu Yan Chen Ming Li Xiao Zhang School of Mechanical Engineering Tianjin UniversityTianjin 300350China Key Laboratory of Mechanism Theory and Equipment Design of Ministry of Education Tianjin UniversityTianjin 300350China Space Structure and Mechanism Technology Laboratory of China Aerospace Science and Technology Group Co.Ltd Aerospace System Engineering ShanghaiShanghai 201109China

Rigid origami has great potential in aerospace applications,especially deployable polyhedrons with one degree of freedom(DOF)and flat-foldability,whose types are few to *** this paper,we create a novel foldable cube and a rhombic dodecahedron by introducing slits and diagonal creases to the surfaces,whose one-DOF rigid and flat-foldable properties are verified by kinematic ***,based on the isohedral quadrilateral transform,we project the creases and slits of the rhombic dodecahedron onto a tetrahedron to obtain a novel foldable tetrahedron that has two flat-foldable motion paths due to the existence of collinear *** the second path,unnecessary creases are removed,and an origami tetrahedron with simplified creases is *** origami tetrahedrons possess a small folded *** analysis reveals that these newly discovered origami polyhedrons are flat-foldable with one DOF,demonstrating favorable application prospects for space architectures and extraterrestrial habitats.

关键词： Rigid origami Flat-foldability Cube Rhombic dodecahedron Tetrahedron

来源：评论

学校读者我要写书评

暂无评论

Thermal strain engineering in cobalt-coordinated Mo_(2)N for efficient ampere-level current density alkaline fresh/seawater hydrogen evolution electrocatalysis

引用

Journal of Energy Chemistry 2025年第4期103卷 282-293页

作者： Yuwen Hu Meilian Tu Tuzhi Xiong Yanxiang He Muhammad Mushtaq Hao Yang Zeba Khanam Yongchao Huang Jianqiu Deng M.-Sadeeq Balogun College of Materials Science and Engineering Hunan Joint International Laboratory of Advanced Materials and Technology for Clean EnergyHunan UniversityChangsha 410082HunanChina School of Chemistry and Chemical Engineering University of South ChinaHengyang 421001HunanChina School of Chemistry&Chemical Engineering Guangxi Key Laboratory of Electrochemical Energy MaterialsGuangxi Colleges and Universities Key Laboratory of Applied Chemistry Technology and Resource DevelopmentGuangxi UniversityNanning 530004GuangxiChina Institute of Environmental Research at Greater Bay Key Laboratory for Water Quality and Conservation of the Pearl River DeltaMinistry of EducationGuangzhou UniversityGuangzhou 510006GuangdongChina Guangxi Key Laboratory of Information Materials Guilin University of Electronic TechnologyGuilin 541004GuangxiChina State Key Laboratory of Non-Food Biomass and Enzyme Technology Guangxi Academy of SciencesNanning 530007GuangxiChina

Lattice-strain engineering has demonstrated its capability to influence the electronic structure and catalytic performance of ***,we present a facile method for inducing thermal strain in cobalt/molybdenum nitride rod-shaped structures(denoted Co/Mo_(2)N)via ammonia-assisted reduction,which effectively modulating the HER *** optimized Co/Mo_(2)N-500,characterized by 3%tensile lattice strain,demonstrates exceptional HER activity with lower overpotentials of140 mV and 184 mV at high current density of 1000 mA cm^(-2)in alkaline freshwater and seawater electrolytes,***/Mo_(2)N also exhibits excellent long-term durability even at a high current density of 300 mA cm^(-2),surpassing its counterparts and benchmark Pt/C *** functional theory calculations validate that the tensile strain optimizes the d-band states,water dissociation,and hydrogen adsorption kinetics of the strained Mo_(2)N in Co/Mo_(2)N,thereby improving its catalytic *** work provides valuable insights into controlling lattice strain to develop highly efficient electrocatalysts towards advanced electrocatalytic applications.

关键词： Co/Mo_(2)N Thermal strain engineering Hydrogen evolution reaction Ampere-level current density Seawater splitting

来源：评论

学校读者我要写书评

暂无评论

Learning to Branch in Combinatorial Optimization With Graph Pointer Networks

引用

IEEE/CAA Journal of Automatica Sinica 2024年第1期11卷 157-169页

作者： Rui Wang Zhiming Zhou Kaiwen Li Tao Zhang Ling Wang Xin Xu Xiangke Liao IEEE the Xiangjiang Laboratory and the College of Systems Engineering National University of Defense TechnologyChangsha 410073China the Institute of Automation Chinese Academy of SciencesBeijing 100190China the College of Systems Engineering National University of Defense TechnologyChangsha 410073 the Hunan Key Laboratory of Multi-Energy System Intelligent Interconnection Technology Changsha 410073China the Department of Automation Tsinghua UniversityBeijing 100084China the College of Intelligence Science and Technology National University of Defense TechnologyChangsha 410073China the College of Computer Science and Technology National University of Defense TechnologyChangsha 410073China

Traditional expert-designed branching rules in branch-and-bound(B&B) are static, often failing to adapt to diverse and evolving problem instances. Crafting these rules is labor-intensive, and may not scale well with complex *** the frequent need to solve varied combinatorial optimization problems, leveraging statistical learning to auto-tune B&B algorithms for specific problem classes becomes attractive. This paper proposes a graph pointer network model to learn the branch rules. Graph features, global features and historical features are designated to represent the solver state. The graph neural network processes graph features, while the pointer mechanism assimilates the global and historical features to finally determine the variable on which to branch. The model is trained to imitate the expert strong branching rule by a tailored top-k Kullback-Leibler divergence loss function. Experiments on a series of benchmark problems demonstrate that the proposed approach significantly outperforms the widely used expert-designed branching rules. It also outperforms state-of-the-art machine-learning-based branch-and-bound methods in terms of solving speed and search tree size on all the test instances. In addition, the model can generalize to unseen instances and scale to larger instances.

关键词： Branch-and-bound(B&B) combinatorial optimization deep learning graph neural network imitation learning

来源：评论

学校读者我要写书评

暂无评论

Toward Comprehensive Semantic Prompt for Region Contrastive Learning Underwater Image Enhancement

Toward Comprehensive Semantic Prompt for Region Contrastive ...

引用

2025 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2025

作者： Wang, Xiao Fu, Yongsheng Wang, Wei Liu, Wei School of Computer Science and Technology Wuhan University of Science and Technology Wuhan China Hubei Province Key Laboratory of Intelligent Information Processing and Real-time Industrial System China

ISBN: (纸本)9798350368741

Underwater image enhancement (UIE) focuses on mitigating image quality degradation due to light absorption and scattering. However, most existing methods enhance images via a global and uniform manner, neglecting the inherent semantic information in different regions, which may cause the network to easily deviate from the region's original color. Moreover, these methods typically rely on clear images to guide network convergence, a process constrained by the limited availability of real-world datasets, making it extremely challenging to train enhancement models for various degradations. To address these challenges, this paper introduces a semantic guidance and region contrastive constraints network (SRCNet). Initially, we propose a semantic-aware RWKV (Receptance Weighted key Value) block and a semantic prompt regularization module. These components leverage intra-target semantic correlations to preserve image details and colors within a global perceptual framework, while employing focal loss to emphasize the restoration of severely degraded regions. Subsequently, we introduce a region contrastive learning method that effectively utilizes negative samples to precisely capture features sensitive to degradation factors, thereby fostering robust feature distributions. Finally, experimental results demonstrate that our method outperforms existing state-of-the-art (SOTA) approaches. © 2025 IEEE.

关键词： contrastive learning rwkv semantic prompt Underwater image enhancement

来源：评论

学校读者我要写书评

暂无评论

Advances in Noble Metal-Decorated Metal Oxide Nanomaterials for Chemiresistive Gas Sensors:Overview

引用

Nano-Micro Letters 2023年第6期15卷 353-427页

作者： Li‑Yuan Zhu Lang‑Xi Ou Li‑Wen Mao Xue‑Yan Wu Yi‑Ping Liu Hong‑Liang Lu State Key Laboratory of ASIC and System Shanghai Institute of Intelligent Electronics and SystemsSchool of MicroelectronicsFudan UniversityShanghai 200433People’s Republic of China School of Opto‑Electronic Information and Computer Engineering University of Shanghai for Science and TechnologyShanghai 200093People’s Republic of China State Key Laboratory of Metal Matrix Composites School of Material Science and EngineeringShanghai Jiao Tong UniversityShanghai 200240People’s Republic of China

Highly sensitive gas sensors with remarkably low detection limits are attractive for diverse practical application fields including real-time environmental monitoring,exhaled breath diagnosis,and food freshness *** various chemiresistive sensing materials,noble metal-decorated semiconducting metal oxides(SMOs)have currently aroused extensive attention by virtue of the unique electronic and catalytic properties of noble *** review highlights the research progress on the designs and applications of different noble metal-decorated SMOs with diverse nanostructures(e.g.,nanoparticles,nanowires,nanorods,nanosheets,nanoflowers,and microspheres)for high-performance gas sensors with higher response,faster response/recovery speed,lower operating temperature,and ultra-low detection *** key topics include Pt,Pd,Au,other noble metals(e.g.,Ag,Ru,and Rh.),and bimetals-decorated SMOs containing ZnO,SnO_(2),WO_(3),other SMOs(e.g.,In_(2)O_(3),Fe_(2)O_(3),and CuO),and heterostructured *** addition to conventional devices,the innovative applications like photo-assisted room temperature gas sensors and mechanically flexible smart wearable devices are also ***,the relevant mechanisms for the sensing performance improvement caused by noble metal decoration,including the electronic sensitization effect and the chemical sensitization effect,have also been summarized in ***,major challenges and future perspectives towards noble metal-decorated SMOs-based chemiresistive gas sensors are proposed.

关键词： Noble metal Bimetal Semiconducting metal oxide Chemiresistive gas sensor Electronic sensitization Chemical sensitization

来源：评论

学校读者我要写书评

暂无评论

On the improvement of power conversion efficiency of parametric arrays

引用

Chinese Journal of Acoustics 2023年第4期42卷 450-463页

作者： LU Zhimiao MENG Jin WANG Bo ZHAO Zhihua HU Anqi National Key Laboratory of Science and Technology on Vessel Integrated Power System Technology Naval University of EngineeringWuhan 430000

Due to the low power conversion efficiency of parametric array, the proposed method can be used to improve the power conversion efficiencies of parametric arrays by adjusting the specific acoustic impedance. The Kuznetsov equation that describes parametric arrays is first studied, the inffuence of Lagrangian densities on difference frequency wave is analyzed,and the relationship between the Lagrangian density and the acoustic impedance is ***, the method of arranging perforated plates around the parametric array to adjust the acoustic impedance is proposed. The proposed method is validated through numerical simulations. The results show that this method can improve the power conversion efficiency of the parametric array by using perforated plates to change the acoustic impedance.

关键词： parametric impedance method

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：