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Recent progress in the physics of twisted particles

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The Innovation 2023年第3期4卷 87-88页

作者： Liping Zou pengming zhang Alexander J.Silenko Liang Lu Sino-French Institute of Nuclear Engineering and Technology Sun Yat-sen UniversityZhuhai 519082China School of Physics and Astronomy Sun Yat-sen UniversityZhuhai 519082China Bogoliubov Laboratory of Theoretical Physics Joint Institute for Nuclear ResearchDubna 141980Russia Institute of Modern Physics Chinese Academy of SciencesLanzhou 730000China Research Institute for Nuclear Problems Belarusian State UniversityMinsk 220030Belarus

Twisted(vortex)particles with intninsicorbital angular momenta(OAMs)even in free space areof significant importancein modem physics and have important *** photons and electrons were discoveredin 1992 and 2010,*** maximum observed OAMs were about 10000 for photons and 1000h for ***,twisted neutrons,atoms,and molecules werealso *** magnetic field,charged particles move ina helicaltra-jectory(on acirclein the transverseplane).In thequantum-mechanical picture,a particle trajectory cannot bedefined,butits equations ofmotionareequivalentto the coresponding classical *** particles in free space are not under the influence of any external *** states appear as the coherent su-perpositions of noninteracting partial de Broglie waves with different directions of transverse momenta.

关键词： twisted transverse moment

1 - 18 Topological Objects in Liquid Metallic Hydrogen

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IMP & HIRFL Annual Report 2010年第1期 32-33页

作者： Zou Liping zhang pengming

Charmed Baryon in a Generalized String Model

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近代物理研究所和兰州重离子加速器实验室年报：英文版 2008年第1期 19-20页

作者： Wang Qingwu zhang pengming

Topological Structure of Many Vortices Solution in Jackiw-Pi Model

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近代物理研究所和兰州重离子加速器实验室年报：英文版 2006年第1期 12-13页

作者： Li Xiguo Liu Ziyu Li Yongqing zhang pengming Supported by Chinese Academy of Sciences Knowledge Innovation Project National Natural Science Foundation of China.

Topological Structure of SU（2） Chern-Simons Vortices1

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近代物理研究所和兰州重离子加速器实验室年报：英文版 2006年第1期 11-12页

作者： Li Xiguo Liu Ziyu zhang pengming Li Yongqing Supported by Chinese Academy of Sciences Knowledge Innovation Project National Natural Science Foundation of China.

N-doped graphene quantum dot-decorated N-TiO2/P-doped porous hollow g-C_(3)N_(4) nanotube composite photocatalysts for antibiotic photodegradation and H2 production

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International Journal of Minerals,Metallurgy and Materials 2024年第1期31卷 165-178页

作者： Jingshu Yuan Yao zhang Xiaoyan zhang Junjie zhang Shen’gen zhang Institute for Advanced Materials and Technology University of Science and Technology BeijingBeijing 100083China Xi’an Fanyi University Xi’an 710105China Shunde Graduate School of University of Science and Technology Beijing Foshan 528399China State Key Laboratory of Lunar and Planetary Sciences Macao University of Science and TechnologyMacao SAR 820000China

Exclusive responsiveness to ultraviolet light (~3.2 eV) and high photogenerated charge recombination rate are the two primary drawbacks of pure TiO_(2). We combined N-doped graphene quantum dots (N-GQDs), morphology regulation, and heterojunction construction strategies to synthesize N-GQD/N-doped TiO_(2)/P-doped porous hollow g-C_(3)N_(4) nanotube (PCN) composite photocatalysts (denoted as G-TPCN). The optimal sample (G-TPCN doped with 0.1wt% N-GQD, denoted as 0.1% G-TPCN) exhibits significantly enhanced photoabsorption, which is attributed to the change in bandgap caused by elemental doping (P and N), the improved light-harvesting resulting from the tube structure, and the upconversion effect of N-GQDs. In addition, the internal charge separation and transfer capability of0.1% G-TPCN are dramatically boosted, and its carrier concentration is 3.7, 2.3, and 1.9 times that of N-TiO_(2), PCN, and N-TiO_(2)/PCN(TPCN-1), respectively. This phenomenon is attributed to the formation of Z-scheme heterojunction between N-TiO_(2) and PCNs, the excellent electron conduction ability of N-GQDs, and the short transfer distance caused by the porous nanotube structure. Compared with those of N-TiO_(2), PCNs, and TPCN-1, the H2 production activity of 0.1%G-TPCN under visible light is enhanced by 12.4, 2.3, and 1.4times, respectively, and its ciprofloxacin (CIP) degradation rate is increased by 7.9, 5.7, and 2.9 times, respectively. The optimized performance benefits from excellent photoresponsiveness and improved carrier separation and migration efficiencies. Finally, the photocatalytic mechanism of 0.1% G-TPCN and five possible degradation pathways of CIP are proposed. This study clarifies the mechanism of multiple modification strategies to synergistically improve the photocatalytic performance of 0.1% G-TPCN and provides a potential strategy for rationally designing novel photocatalysts for environmental remediation and solar energy conversion.

关键词： N-doped TiO_(2) N-doped graphene quantum dots P-doped g-C_(3)N_(4) porous hollow nanotube heterojunction photocatalysis

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Reversing free-electron transfer of sulfide cocatalyst for exceptional photocatalytic H_(2)evolution

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Journal of Materials Science & Technology 2024年第4期171卷 147-149页

作者： Yanfeng zhang Zhenyi zhang National Experimental Chemistry Teaching Center Hebei Key Laboratory of Inorganic Nano-materialsCollege of Chemistry and Materials ScienceHebei Normal UniversityShijiazhuang 050024China Key Laboratory of New Energy and Rare Earth Resource Utilization of State Ethnic Affairs Commission Key Laboratory of Photosensitive Materials and Devices of Liaoning ProvinceSchool of Physics and Materials EngineeringDalian Minzu UniversityDalian 116600China

Recently,Yu and co-workers deeply explore the potential impact of free electron transfer between co-catalysts and photocatalyst carriers on H_(2)evolution efficiency of active sites over MoS_(2+x).They pro-pose an electron-reversal tactics to evade the unexpected electron transfer and synchronously regulate the above transfer in a beneficial orientation for weakening hydrogen adsorption on S ***,this highlight not only discusses and summarizes the essences of electron reversal and the optimized H ad-sorption/desorption mechanism,but also emphasizes the significance of femtosecond transient absorp-tion spectroscopy(fs-TAS)and in-situ irradiated X-ray photoelectron spectroscopy(ISI-XPS)for revealing charge transfer dynamics and *** anticipate that this highlight can disseminate a new per-spective on the roles of photocatalyst carriers in improving cocatalytic H_(2)-production kinetics.

关键词： Photocatalysis Cocatalyst Electron reversal Antibonding-orbital occupancy S–H bonds

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Skyrme模型中的拓扑结构

中国科学：物理学、力学、天文学 2018年第10期48卷 45-53页

作者：邹丽平张鹏鸣中国科学院近代物理研究所兰州730000

Skyrme模型具有丰富的拓扑结构,包括重子数拓扑π_3(S^3)、磁单极拓扑π_2(S^2)和壳层拓扑(径向激发量子数)π_1(S^1)等.首先讨论QCD与Skyrme模型之间的关系,并通过QCD中的磁单极拓扑性质进一步讨论Skyrme模型中重子数拓扑分解问题.此... 详细信息

Skyrme模型具有丰富的拓扑结构,包括重子数拓扑π_3(S^3)、磁单极拓扑π_2(S^2)和壳层拓扑(径向激发量子数)π_1(S^1)等.首先讨论QCD与Skyrme模型之间的关系,并通过QCD中的磁单极拓扑性质进一步讨论Skyrme模型中重子数拓扑分解问题.此外还将具体求解Bogomol’nyi-Prasad-Sommerfield(BPS)Skyrme模型中的具有不同磁单极拓扑数和壳层拓扑数的BPS skyrmion解.

关键词： Skyrme模型 skyrmion重子数拓扑 skyrmion磁单极拓扑 skyrnlion壳层拓扑 BPS Skyrme模型

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Deep Guided Attention Network for Joint Denoising and Demosaicing in Real Image

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Chinese Journal of Electronics 2024年第1期33卷 303-312页

作者： Tao zhang Ying FU Jun zhang School of Computer Science and Technology Beijing Institute of Technology Advanced Reasearch Institute of Multidisciplinary Science Beijing Institute of Technology

Denoising(DN) and demosaicing(DM) are the first crucial stages in the image signal processing pipeline. Recently, researches pay more attention to solve DN and DM in a joint manner, which is an extremely undetermined inverse problem. Existing deep learning methods learn the desired prior on synthetic dataset, which limits the generalization of learned network to the real world data. Moreover, existing methods mainly focus on the raw data property of high green information sampling rate for DM, but occasionally exploit the high intensity and signalto-noise(SNR) of green channel. In this work, a deep guided attention network(DGAN) is presented for real image joint DN and DM(JDD), which considers both high SNR and high sampling rate of green information for DN and DM, respectively. To ease the training and fully exploit the data property of green channel, we first train DN and DM sub-networks sequentially and then learn them jointly, which can alleviate the error accumulation. Besides, in order to support the real image JDD, we collect paired raw clean RGB and noisy mosaic images to conduct a realistic dataset. The experimental results on real JDD dataset show the presented approach performs better than the state-of-the-art methods, in terms of both quantitative metrics and qualitative visualization.

关键词： Training Visualization Inverse problems Green products Noise reduction Pipelines Signal processing