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Realizing low-ion-migration and highly sensitive X-ray detection by building g-C3N4 and CH3NH3PbI3 bulk heterojunction pellets

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Journal of Materials Chemistry A 2023年第47期11卷 25918-25928页

作者： Chengzhi Xue Yingrui Xiao Xing Liu Ziwei Xu Nan Li Shubo Wang Ningyi Yuan Jianding Ding Xu Guo Zhou Yang Shengzhong (Frank) Liu Key Laboratory of Applied Surface and Colloid Chemistry Ministry of Education Shaanxi Key Laboratory for Advanced Energy Devices Shaanxi Engineering Lab for Advanced Energy Technology Institute for Advanced Energy Materials School of Materials Science and Engineering Shaanxi Normal University Xi'an 710119 China School of Chemical Engineering and Materials Changzhou Institute of Technology Changzhou China School of Materials Science and Engineering Jiangsu Collaborative Innovation Center for Photovoltaic Science and Engineering Jiangsu Province Cultivation Base for State Key Laboratory of Photovoltaic Science and Technology Changzhou University Changzhou China Micro/Nano Science and Technology Center Jiangsu University Zhenjiang China Dalian National Laboratory for Clean Energy Dalian Institute of Chemical Physics Chinese Academy of Sciences Dalian116023 China

Three-electronic-dimensional (3D) lead halide perovskites show high X-ray sensitivities and a low limit of detection. However, servere ion migration causes dark current drift and worsens long-term operational stability. Although two-electronic-dimensional (2D) perovskite and 3D perovskite heterojunction devices have been shown to reduce ion migration, their current responses to X-rays have decreased considerably. A device with low ion migration without sacrificing X-ray sensitivity is needed. Atomic-thick two-dimensional (2D) materials with small pore sizes between atoms and high carrier-tunneling possibilities through them are reasonable candidates to simultaneously block ion migration and retain carrier–transport properties. Herein, a 2D monolayer of g-C₃N₄ was introduced into a CH₃NH₃PbI₃ (MAPbI₃) polycrystalline pellet through hot pressing. The small-sized tri-s-triazine structure of g-C₃N₄ could inhibit ion migration without affecting the electron transport of the perovskite pellet. As a result, the g-C₃N₄/MAPbI₃ heterojunction pellet exhibited an ultra-low current drift of 4.87 × 10⁻⁵ nA cm⁻¹ s⁻¹ V⁻¹ at an electric field of 12.66 V mm⁻¹. Simultaneously, the detector exhibited a high sensitivity of 1.78 × 10⁵ μC Gy_air⁻¹ cm⁻² under 75.95 V mm⁻¹ and a low limit of detection of 27 nGy_air s⁻¹ under 12.66 V mm⁻¹, which are among the best of repo

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Electromagnetic Duality Symmetry-Protected Dirac-Like Cones

arXiv

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arXiv 2025年

作者： Yang, Muxuan Yan, Dongyang Gao, Lei Liu, Wei Lai, Yun Xu, Yadong Hang, Zhi Hong Luo, Jie School of Physical Science and Technology Collaborative Innovation Center of Suzhou Nano Science and Technology Jiangsu Key Laboratory of Frontier Material Physics and Devices Soochow University Suzhou215006 China Key Laboratory of Biophotonics Suzhou215104 China College for Advanced Interdisciplinary Studies National University of Defense Technology Hunan Changsha410073 China National Laboratory of Solid State Microstructures School of Physics Collaborative Innovation Center of Advanced Microstructures Jiangsu Physical Science Research Center Nanjing University Nanjing210093 China

Dirac-like cones, featuring conical linear dispersions intersecting with flat bands, typically arise from accidental degeneracy of multiple modes that requires precise tuning of material and structural parameters, inherently limiting their robustness and applications. In this work, by introducing electromagnetic duality symmetry into photonic crystals, we demonstrate the emergence of intrinsically robust deterministic Dirac-like cones. We show that such symmetry (achieved through either self-dual particles or non-self-dual particle clusters with duality-glide symmetry) enforces double degeneracies for band structures of photonic crystals. Furthermore, by harnessing the joint duality-structural symmetry, multiple deterministic Dirac-like cones exhibiting exceptional resilience to lattice size variations can be obtained. Our introduction of an extra symmetry into photonic crystals establishes a profound connection between duality symmetry and Dirac physics, providing a robust platform for advanced photonic band engineering. Copyright © 2025, The Authors. All rights reserved.

关键词： Photonic crystals

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Dock4 is required for the maintenance of cochlear hair cells and hearing function

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自然科学基础研究（英文） 2023年第4期3卷 557-569页

作者： Guodong Hong Xiaolong Fu Jieyu Qi Buwei Shao Xuan Han Yuan Fang Shuang Liu Cheng Cheng Chengwen Zhu Junyan Gao Xia Gao Jie Chen Ming Xia Wei Xiong Renjie Chai State Key Laboratory of Digital Medical Engineering Department of Otolaryngology Head and Neck SurgeryZhongda HospitalSchool of Life Sciences and TechnologyAdvanced Institute for Life and HealthJiangsu Province High-Tech Key Laboratory for Bio-Medical ResearchSoutheast UniversityNanjing 210096China School of Life Sciences IDG/McGovem Institute for Brain ResearchTsinghua UniversityBeijing 100083China Department of Otolaryngology Head and Neck Surgery Jiangsu Provincial Key Medical Discipline(Laboratory)Affiliated Drum Tower Hospital of Nanjing University Medical SchoolNanjing 210008China Research Institute of Otolaryngology Nanjing 210008China Department of Otolaryngology Head and Neck Surgery Jiangsu Provincial Key Medical Discipline(Laboratory)Affiliated Drum Tower Hospital of Nanjing University Medical SchoolNanjing 210008China Jiangsu Rehabilitation Research Center for Hearing and Speech Impairment NanjingJiangsu 210004China Department of Otolaryngology Shandong Provincial Hospital Affiliated to Shandong First Medical UniversityShandong 250000China Medical Science and Technology Innovation Center Shandong First Medical University & Shandong Academy of Medical SciencesShandong 250022China State Key Laboratory of Digital Medical Engineering Department of Otolaryngology Head and Neck SurgeryZhongda HospitalSchool of Life Sciences and TechnologyAdvanced Institute for Life and HealthJiangsu Province High-Tech Key Laboratory for Bio-Medical ResearchSoutheast UniversityNanjing 210096China Co-Innovation Center of Neuroregeneration Nantong UniversityNantong 226001China Institute for Stem Cell and Regeneration Chinese Academy of ScienceBeijing 100101China Beijing Key Laboratory of Neural Regeneration and Repair Capital Medical UniversityBeijing 100069China Department of Otolaryngology Head and Neck Surgery Sichuan Provincial People's HospitalUniversity of Electronic Science and Technology of ChinaChengdu 610072China

Auditory hair cells(HCs)are the mechanosensory receptors of the cochlea,and HC loss or malfunction can re-sult from genetic ***4,a member of the Dock180-related protein superfamily,is a guanine nucleotide exchange factor for Rac1,and previous reports have shown that Dock4 mutations are associated with autism spec-trum disorder,myelodysplastic syndromes,and ***,we found that Dock4 is highly expressed in the cochlear HCs of ***,the role of Dock4 in the inner ear has not yet been *** advantage of the piggyBac transposon system,Dock4 knockdown(KD)mice were established to explore the role of Dock4 in the *** to wild-type controls,Dock4 KD mice showed significant hearing impairment from postnatal day ***4 KD mice showed hair bundle deficits and increased oxidative stress,which even-tually led to HC apoptosis,late-onset HC loss,and progressive hearing ***,molecular mechanism studies showed that Rac1/β-catenin signaling was significantly downregulated in Dock4 KD cochleae and that this was the cause for the disorganized stereocilia and increased oxidative stress in ***,our work demon-strates that the Dock4/Rac1/β-catenin signaling pathway plays a critical role in the maintenance of auditory HCs and hearing function.

关键词： Hair cell Stereocilia Oxidative stress Apoptosis Hearing loss Dock4

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A Novel Multi-Stream Informer Used for Lower Extremity Joint Angle Estimation 12

A Novel Multi-Stream Informer Used for Lower Extremity Joint...

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12th International Conference on CYBER technology in Automation, Control, and Intelligent Systems, CYBER 2022

作者： Zhou, Xin Zhang, Liming Liu, Jiaqing Ye, Jiancong Wang, Can Wu, Xinyu Guangdong Provincial Key Lab of Robotics and Intelligent System Shenzhen Institutes of Advanced Technology Chinese Academy of Sciences Shenzhen518055 China Cas Key Laboratory of Human-Machine Intelligence-Synergy Systems Shenzhen Institutes of Advanced Technology China University of Science and Technology of China China University of Chinese Academy of Sciences China South China University of Technology China Department of Mechanical and Automation Engineering The Chinese University of Hong Kong Hong Kong

ISBN: (数字)9781665472678

ISBN: (纸本)9781665472678

In lower extremity exoskeleton rehabilitation systems, synergy and proportionality between the human lower extremity and the exoskeleton robot have been a critical goal to pursue. In recent years, changeable deep learning models based on multi-source signals have been used for lower limb continuous motion estimation. During the process, multimode signals are fed into the time processing model as time series. However, there are some deficiencies in this framework, on the one hand, what kind of multi-source combination can be more efficient;on the other hand, most of the existing models need several iterations or network stacking to complete the extraction of temporal information. This study set out to address the above problems, we put forward Multi-Stream Informer (MS-Informer), using Multi-Stream combination and sparse attention mechanisms for lower limb continuous motion estimation. In the experiment, we compare MS-Informer and Temporal Convolutional Network (TCN) and Long Short-term Memory (LSTM) under distinctive multi-source combinations. In summary, MS-informer performs well in multiple evaluations compared with other models. Experimental results illustrate that the MS-Informer is more efficacious in lower limb joint angle estimation and is a promising method for achieving coordinated control of lower limb exoskeletons. © 2022 IEEE.

关键词： Motion estimation

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Design and simulation of a hip exoskeleton for lateral walking

Design and simulation of a hip exoskeleton for lateral walki...

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2021 IEEE International Conference on Real-Time Computing and robotics, RCAR 2021

作者： Zhang, Zhewen Cao, Wujing Chen, Chunjie Yu, Hongliu Wu, Xinyu Meng, Qiaoling Shenzhen Institute of Advanced Technology Chinese Academy of Sciences Guangdong Provincial Key Lab of Robotics and Intelligent System University of Shanghai for Science and Technology Rehabilitation Engineering and Technology Institute CAS Key Laboratory of Human-Machine Intelligence-Synergy Systems Shenzhen Institute of Advanced Technology

ISBN: (纸本)9781665436786

In this article, a rehabilitation exoskeleton assisted by lateral walking is designed to help patients with lower limb movement disorders to solve the problem of lateral walking assistance, so as to achieve the effect of rehabilitation training. Based on the characteristics of lateral movement of human body, the exoskeleton designed in this paper uses linear push rod motor and thigh binding to assist hip abduction and adduction respectively. Based on the research of human transverse movement gait, a reasonable linkage mechanism was designed and kinematics simulation was carried out. The dynamics model of human lower limbs was established and calculated with MATLAB simulation software. the moment of hip joint lateral movement is obtained. Finally, the structural parameters of the driving mechanism were analyzed by dynamic simulation, and the simulation results were compared with the target motion function to verify the rationality of the design. © 2021 IEEE.

关键词： MATLAB

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Recent progress in perovskite solar cells:from device to commercialization

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Science China Chemistry 2022年第12期65卷 2369-2416页

作者： Xinhui Luo Xuesong Lin Feng Gao Yang Zhao Xiaodong Li Liqing Zhan Zexiong Qiu Jin Wang Cong Chen Lei Meng Xiaofeng Gao Yu Zhang Zijian Huang Rundong Fan Huifen Liu Yanrun Chen Xiaoxue Ren Jiahong Tang Chun-Hao Chen Dong Yang Yongguang Tu Xiao Liu Dongxue Liu Qing Zhao Jingbi You Junfeng Fang Yongzhen Wu Hongwei Han Xiaodan Zhang Dewei Zhao Fuzhi Huang Huanping Zhou Yongbo Yuan Qi Chen Zhaokui Wang Shengzhong(Frank)Liu Rui Zhu Jotaro Nakazaki Yongfang Li Liyuan Han State Key Laboratory of Metal Matrix Composites School of Material Science and EngineeringShanghai Jiao Tong UniversityShanghai 200240China State Key Lab for Mesoscopic Physics and Frontiers Science Center for Nano-optoelectronics School of PhysicsPeking UniversityBeijing 100871China Key Laboratory of Semiconductor Materials Science Institute of SemiconductorsChinese Academy of SciencesBeijing 100083China School of Physics and Electronic Science Engineering Research Center of Nanophotonics&Advanced InstrumentMinistry of EducationEast China Normal UniversityShanghai 200241China Key Laboratory for Advanced Materials and Institute of Fine Chemicals School of Chemistry and Molecular EngineeringEast China University of Science and TechnologyShanghai 200237China Wuhan National Laboratory for Optoelectronics Huazhong University of Science and TechnologyWuhan 430074China Institute of Photoelectronic Thin Film Devices and Technology Renewable Energy Conversion and Storage CenterSolar Energy Research CenterNankai UniversityTianjin 300350China College of Materials Science and Engineering&Engineering Research Center of Alternative Energy Materials&Devices Ministry of EducationSichuan UniversityChengdu 610065China Beijing National Laboratory for Molecular Sciences CAS Key Laboratory of Organic SolidsInstitute of ChemistryChinese Academy of SciencesBeijing 100190China State Key Laboratory of Advanced Technology for Materials Synthesis and Processing Wuhan University of TechnologyWuhan 430070China Beijing Key Laboratory for Theory and Technology of Advanced Battery Materials Key Laboratory of Polymer Chemistry and Physics of Ministry of EducationSchool of Materials Science and EngineeringPeking UniversityBeijing 100871China School of Physics and Electronics Hunan Key Laboratory of Nanophotonics and DevicesCentral South UniversityChangsha 410083China Experimental Center for Advanced Materials School of Materials Science and EngineeringBeijing Institute of TechnologyBeijing 100081China Jia

Perovskite solar cells(PSCs) are undergoing rapid development and the power conversion efficiency reaches 25.7% which attracts increasing attention on their commercialization *** this review,we summarized the recent progress of PSCs based on device structures,perovskite-based tandem cells,large-area modules,stability,applications and ***,the challenges and perspectives are discussed,aiming at providing a thrust for the commercialization of PSCs in the near future.

关键词： perovskite solar cells device engineering stability application

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Spectral Peak Identification of Laser-Induced Breakdown Spectra Based on Plasma Parameters

SSRN

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SSRN 2024年

作者： Chen, Hao Shi, Xiudong Ye, Fanxiu Zheng, Kexin School of Mechanical Engineering Jiangnan University Jiangsu Wuxi214122 China Jiangsu Key Laboratory of Advanced Food Manufacturing Equipment & Technology Jiangsu Wuxi214122 China Wuxi Jinyibo Instrument Technology Co. Ltd Jiangsu Wuxi214122 China Shanghai Pudong Development Bank Beijing100016 China

Laser-induced breakdown spectroscopy (LIBS) contains a large number of characteristic spectral lines, and the accurate identification of these peaks is the prerequisite and basis for the analysis of samples. To solve the problem of insufficient accuracy of traditional peak recognition methods, this paper proposes a new automatic recognition method for LIBS spectra. This method combines plasma parameters and cosine similarity analysis to realize the automatic identification of spectra. Firstly, all the peaks that may contain elements are screened out, and then the database data are combined to categorize the peaks to be measured into single-element peaks and multi-element peaks. The plasma temperature and electron density are solved using the single-element peak data. On this basis, the parameters of all characteristic spectral lines are determined. Finally, the cosine similarity is used to filter out the elements that best match the spectral peaks to be measured. The spectrum was simulated with 30 characteristic spectral line data, and the spectrum was identified using this method, and 27 characteristic spectral lines were successfully identified with an accuracy of 90%. The aluminum alloy spectra collected from the experiment were identified, and the Al, Fe, Mg, Cr, Zn, and Cu elements of the samples were successfully identified, and the accuracy of the identification was verified using the gradient experimental method. The validity and practical usability of the method is verified by simulation experiments and aluminum alloy spectra recognition experiments on the method, which can be used for elemental recognition of LIBS spectra. © 2024, The Authors. All rights reserved.

关键词： Parameter estimation

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Enhanced Graphitization and Reduced Radial Heterogeneity of Carbon Fibers Inheriting from Photo/Thermo-Chemically Stabilized Pan-Fibers

SSRN

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SSRN 2024年

作者： Ma, Tianshuai Shao, Ruiqi Wang, Wei Liu, Shengkai Min, Chunying Jiang, Wanwei Li, Tianyu Xu, Zhiwei State Key Laboratory of Separation Membranes and Membrane Processes School of Textile Science and Engineering Tiangong University Tianjin300387 China Research School of Polymeric Materials School of Materials Science & Engineering Jiangsu University Jiangsu Zhenjiang212013 China Jiangsu Advanced Textile Engineering Technology Center Jiangsu College of Engineering and Technology Jiangsu 226007 China

The cross-section of carbon fibers (CFs) possessed radial heterostructure, which restricted its mechanical properties. In this paper, heating and γ-irradiation were integrated during stabilization process to improve the radial structure of CFs. The cooperation of irradiation and heating during stabilization caused the decrease of ID/IG, increase of crystal size, and reduction of pore fractal dimension in whole CFs. Through Raman spectra along fibers cross-section, a radial heterogeneity was found during the whole carbonization process. The cooperation of γ-irradiation and heating during stabilization reduced ID/IG on cross-section and weakened radial heterogeneity of CFs. The cooperation of γ-irradiation and heating during stabilization significantly enhanced the tensile strength of CFs. Subsequently, a hierarchy model containing outer-surface, sub-surface and core parts was presented to explain the evolution of tensile strength for CFs. The γ-irradiation during stabilization enhanced the structure of each part in CFs by generating more cross-linked structures. © 2024, The Authors. All rights reserved.

关键词： Irradiation

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advanced Porous Materials as Designer Platforms for Sequestering Radionuclide Pertechnetate

Chem and Bio Engineering

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Chem and Bio Engineering 2024年第3期1卷 199-222页

作者： Xing, Zhiwei Lai, Zhuozhi Sun, Qi Xiao, Chengliang Wang, Shuao Wang, Xiangke Aguila-Ames, Briana Thallapally, Praveen K. Martin, Kyle Ma, Shengqian Zhejiang Provincial Key Laboratory of Advanced Chemical Engineering Manufacture Technology College of Chemical and Biological Engineering Zhejiang University Hangzhou310027 China Collaborative Innovation Center of Radiation Medicine of Jiangsu Higher Education Institutions Soochow University Suzhou215123 China MOE Key Laboratory of Resources and Environmental System Optimization College of Environmental Science and Engineering North China Electric Power University Beijing102206 China New College of Florida 5800 Bay Shore Road SarasotaFL34343 United States Physical and Computational Science Directorate Pacific Northwest National Laboratory Richland RichlandWA99352 United States Department of Chemistry University of North Texas 1508 West Mulberry Street DentonTX76201 United States

Technetium-99 (99Tc), predominantly present as pertechnetate (99TcO4-), is a challenging contaminant in nuclear waste from artificial nuclear fission. The selective removal of 99TcO4- from nuclear waste and contaminated groundwater is complex due to (i) the acidic and intricate nature of high-level liquid wastes;(ii) the highly alkaline environment in low-activity level tank wastes, such as those at Hanford, and in high-level wastes at locations like Savannah River;and (iii) the potential for 99TcO4- to leak into groundwater, risking severe water pollution due to its high mobility. This Review focuses on recent developments in advanced porous materials, including metal-organic frameworks (MOFs), covalent organic frameworks (COFs), and their amorphous counterparts, porous organic polymers (POPs). These materials have demonstrated exceptional effectiveness in adsorbing 99TcO4- and similar oxyanions. We comprehensively review the adsorption mechanisms of these anions with the adsorbents, employing macroscopic batch/column experiments, microscopic spectroscopic analyses, and theoretical calculations. In conclusion, we present our perspectives on potential future research directions, aiming to overcome current challenges and explore new opportunities in this area. Our goal is to encourage further research into the development of advanced porous materials for efficient 99TcO4- management. © 2024 The Authors. Co-published by Zhejiang University and American Chemical Society.

关键词： Groundwater pollution

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EDA: Enhanced Domain-Adversarial Training for Anatomical Landmark Detection 22

EDA: Enhanced Domain-Adversarial Training for Anatomical Lan...

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22nd IEEE International Symposium on Biomedical Imaging, ISBI 2025

作者： Yang, Fan Zhou, S. Kevin School of Biomedical Engineering Division of Life Sciences and Medicine University of Science and Technology of China Anhui Hefei230026 China Suzhou Institute for Advanced Research University of Science and Technology of China Jiangsu Suzhou215123 China Key Laboratory of Precision and Intelligent Chemistry Ustc Anhui Hefei230026 China Institute of Computing Technology Cas Beijing100190 China

ISBN: (纸本)9798331520526

Manually annotating anatomical landmarks in medical images requires experienced clinicians and is a labor-intensive process. However, recent AI-assisted methods for landmark detection often rely on the training and test data originating from the same domain. This work introduces a novel unsupervised domain adaptation (UDA) framework aimed at anatomical landmark detection from a medical image, designed to bridge the gap between a source domain with labels and an unlabeled target domain. Specifically, we have developed a new Domain-Adversarial Network that incorporates skip connections to transfer and fuse high-resolution feature maps. Additionally, we proposed Dynamic Gaussian Learning, which allows the model to escape from local error regions. We carry out experiments on landmark detection for both head and chest, and the results demonstrate that our method achieves state-of-the-art performances in each experiment. © 2025 IEEE.

关键词： Anatomical Landmark Detection Unsupervised Domain Adaptation

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