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Novel Sc-doped Bi_(3)TiNbO_(9) ferroelectric nanofibers prepared by electrospinning for visible-light photocatalysis

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Journal of Rare Earths 2023年第3期41卷 365-373,I0002页

作者： Zhixiong Song Shuwen Yu Kaixian Wang Zhengming Jiang Liyan Xue Fan Yang Fujian Institute of Research on the Structure of Matter Chinese Academy of SciencesFuzhou 350002China University of Chinese Academy of Sciences Beijing 100049China Fujian Science&Technology Innovation Laboratory for Optoelectronic Information of China Fuzhou 350002China Xiamen Institute of Rare Earth Materials Haixi InstituteChinese Academy of SciencesXiamen 361021China CAS Key Laboratory of Design and Assembly of Functional Nanostructures Fujian Provincial Key Laboratory of NanomaterialsFujian Institute of Research on the Structure of MatterChinese Academy of SciencesFuzhou 350002China Xiamen Key Laboratory of Rare Earth Photoelectric Functional Materials Chinese Academy of SciencesXiamen 361021China Ganjiang Innovation Academy Chinese Academy of SciencesGanzhou 341001China

In this work,a novel Sc-doped Bi_(3)TiNbO_(9) ferroelectric nanofiber was first prepared by *** nanofibers are approximately 100 nm level in *** photocatalytic activity analysis reveals that the Bi_(3)TiNbO_(9) nanofibers synthesized by electrospinning are superior to powders prepared by the solid-state method,which is mainly attributed to the high specific surface area and high surface activity of the *** addition,doping Sc can reduce the band gap of Bi_(3)TiNbO_(9) and further improve the photocatalytic ***_(3)TiNbO_(9) nanofibers containing 5 mol%Sc have the highest photocatalytic activity,which can degrade 98.55%of RhB under 405 nm light irradiation for 120 *** addition,the catalytic mechanism of the catalyst was obtained by scavenger tests,active species capture tests and band structure *** three cycles of photocatalytic experiment,the degradation rate is decreased by only 2.42%,proving that the nanofibers catalyst has excellent *** work provides good prospects for the practical application of electrospinning technology in the field of photocatalysis.

关键词： Nanofibers Ferroelectric Scandium Visible-light photocatalysis Rare earths

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The 2023 M_(w)6.8 Adassil Earthquake(Chichaoua,Morocco)on a steep reverse fault in the deep crust and its geodynamic implications

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Earth and Planetary Physics 2024年第3期8卷 522-534页

作者： Billel Touati WangWang Gu SiDao Ni Risheng Chu MinHan Sheng QingJie Xue Fouzi Bellalem Said Maouche Habibi Yahyaoui School of Earth and Space Sciences University of Science and Technology of ChinaHefei 230026China State Key Laboratory of Geodesy and Earth’s Dynamics Innovation Academy for Precision Measurement Science and TechnologyChinese Academy of SciencesWuhan 430077China College of Earth and Planetary Sciences University of Chinese Academy of SciencesBeijing 100049China Centre de Recherche en Astronomie Astrophysique et Géophysique(CRAAG)BP 63BouzaréahAlgiers 16340Algeria Geography and Territory Planning Natural Hazards and Territory Planning LaboratoryBatna 2 UniversityFesdisBatna 05000Algeria

The Mw 6.8 Adassil earthquake that occurred in the High Atlas on September 8,2023,was a catastrophic event that provided a rare opportunity to study the mechanics of deep crustal *** research aimed to decipher the rupture characteristics of the Adassil earthquake by analyzing teleseismic waveform data in conjunction with interferometric synthetic aperture radar(InSAR)observations from both ascending and descending *** analysis revealed a reverse fault mechanism with a centroid depth of approximately 28 km,exceeding the typical range for crustal *** result suggests the presence of cooler temperatures in the lower crust,which facilitates the accumulation of tectonic *** earthquake exhibited a steep reverse mechanism,dipping at 70°,accompanied by minor strike-slip *** the geotectonic framework of the High Atlas,known for its volcanic legacy and resulting thermal irregularities,we investigated the potential contributions of these factors to the initiation of the Adassil *** seismicity within the lower crust,away from plate boundaries,calls for extensive research to elucidate its implications for regional seismic hazard *** findings highlight the critical importance of studying and preparing for significant seismic events in similar geological settings,which would provide valuable insights into regional seismic hazard assessments and geodynamic paradigms.

关键词： Adassil earthquake seismogenic fault source depth interferometric synthetic aperture radar(InSAR) seismic waveform joint inversion

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Preface to the Special Issue of Initial Scientific Results of MSS-1

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Earth and Planetary Physics 2025年第3期9卷 475-478页

作者： Keke Zhang PengFei Liu YongXin Pan Macao Institute of Space Technology and Application Macao University of Science and TechnologyMacao 999078China College of Earth and Planetary Sciences University of Chinese Academy of SciencesBeijing 100029China Key Laboratory of Earth and Planetary Physics Institute of Geology and GeophysicsChinese Academy of SciencesBeijing 100029China

The scientific research of geomagnetism has been largely driven by new geomagnetic data that are available to *** science Satellite-1(MSS-1)was successfully launched on 21st May 2023 into a near-circular orbit of altitude of about 450 km with a low inclination of 41°.After careful evaluation and calibration(7^(th)June 2023 to 31^(st)July 2024),the data of MSS-1 were released to the international scientific community on 1 August 2024,providing the highly accurate data of global geomagnetic field with an unprecedented local-time coverage to the *** special issue of Initial Scientific Results of MSS-1,primarily driven by the new MSS-1 data,contains 27 research articles ranging from the MSS-1 design,satellite data analysis,outer core dynamics,mantle induction,lithospheric field modeling,ocean induced magnetic field,ionosphere and magnetosphere currents,to solar activities.

关键词： geomagnetism geodynamo magnetometers Macao science Satellite-1

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Review on intelligent wavefront reconstruction approaches for pyramid wavefront sensors 6

Review on intelligent wavefront reconstruction approaches fo...

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6th Conference on Frontiers in Optical Imaging and technology: Novel Technologies in Optical Systems

作者： Cao, YingHui Wang, ShengQian National Key Laboratory of Optical Field Manipulation Science and Technology Chinese Academy of Sciences Chengdu610209 China Key Laboratory on Adaptive Optics Chinese Academy of Sciences Chengdu610209 China Institute of Optics and Electronics Chinese Academy of Sciences Chengdu610209 China University of Chinese Academy of Sciences Beijing100049 China

ISBN: (数字)9781510679672

ISBN: (纸本)9781510679665

In the adaptive optics system of large-aperture ground-based telescopes, the wavefront sensor plays a crucial role. Pyramid wavefront sensors are increasingly favored by an expanding number of world-class telescopes. However, traditional wavefront reconstruction algorithms with pyramid wavefront sensors have limited ability to fit nonlinearity, resulting in restricted improvement in reconstruction accuracy. The kernel of deep learning lies in the ability of artificial neural networks to approximate nonlinear functions with arbitrary precision, which is well-suited for solving the nonlinear wavefront reconstruction problem of pyramid wavefront sensors and achieving more accurate wavefront sensing. This paper introduces the application of deep learning in pyramid wavefront sensors and Shack-Hartmann wavefront sensors, conducts a comparative analysis between them, and discusses potential future research directions. © COPYRIGHT SPIE. Downloading of the abstract is permitted for personal use only.

关键词： Adaptive optics

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Influence of Medium on Formation Effect and Perforation Performance of Annular Shaped Charge 4

Influence of Medium on Formation Effect and Perforation Perf...

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4th International Conference on Defence technology, ICDT 2024

作者： Zhang, Shenhe Yang, Shuxin Wang, Longkan Gan, Ning Chen, Longhui Zhang, Zhifan State Key Laboratory of Structural Analysis Optimization and CAE Software for Industrial Equipment School of Naval Architecture Engineering Dalian University of Technology Dalian116024 China China Ship Research and Development Academy Beijing100192 China

With the continuous development of the protective structures and the upgrading of blast mitigation materials, traditional shaped charge warheads are gradually difficult to cause effective damage to heavily armoured ships. To improve the penetration capability of the warhead and achieve large aperture damage to the structures, Annular Shaped Charge (ASC) with unique geometric structure is proposed and applied. In order to investigate the damage effect of the ASC on thin-walled structures with near-field explosion, a series of numerical calculations are carried out based on the Coupled Eulerian-Lagrangian (CEL) method. The influence of the standoff distance on the penetration performance of the ASC is analysed, and the optimal standoff distance is also obtained. Moreover, the influence of medium on the penetration ability of the ASC is explored. The process of jet formation and penetration of the ASC in air medium, water medium and water with an air cavity are compared and analysed. The results show that water not only limits the formation effect of the ASC, but also significantly reduces the jet tip velocity. Accordingly, an air cavity is added in front of the liner to improve the formation effect of the ASC. As a result, both the formation effect and the penetration ability of the ASC in water are significantly improved, and the radius of the penetration hole is greatly increased. © 2024 Institute of Physics Publishing. All rights reserved.

关键词： Thin walled structures

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Optimized wavefront fitting with voltage saturation constraint in adaptive optics system 6

Optimized wavefront fitting with voltage saturation constrai...

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6th Conference on Frontiers in Optical Imaging and technology: Novel Technologies in Optical Systems

作者： Han, Wenyu Zhou, Jiahui Yan, Nanfei Yang, Ying Min, Lei Zhang, Lanqiang Guo, Youming Xian, Hao National Key Laboratory of Optical Field Manipulation Science and Technology Chinese Academy of Sciences Chengdu610209 China The Key Laboratory on Adaptive Optics Chinese Academy of Sciences Chengdu610209 China Institute of Optics and Electronics Chinese Academy of Sciences Chengdu610209 China University of Chinese Academy of Sciences Beijing100049 China School of Electronic Electrical and Commutation Engineering University of Chinese Academy of Science Beijing100049 China

ISBN: (数字)9781510679672

ISBN: (纸本)9781510679665

Deformable mirrors are key active components in adaptive optics systems that enable real-time correction of wavefronts. When using lightweight high-coupling deformable mirrors to fit large RMS wavefronts, the best-fitting voltage often exceeds the maximum deformation voltage of the deformable mirror. In such a case, cropping the voltage directly will greatly destroy the wavefront. This will affect the closed-loop effect. In response to the above issues, we propose using the interior point method to fit the wavefront. This method can directly solve the problem in the voltage range allowed by the deformable mirror, which not only simplifies the steps of the original method, but also greatly improves the fitting capability of the deformable mirror. We used the traditional least-squares method and the interior-point method to fit the static aberrations separately in the simulations. Results show that for the original wavefront (RMS = 2059.70 nm), the least squares algorithm can correct the aberrations to 425.35 nm, while the interior point method can correct the aberrations to 248.10 nm. In the experiments, we used a deformable mirror with 294 actuators for closed-loop testing. The experiment results show that for the original wavefront (RMS = 808.53 nm), the least squares algorithm can correct the aberrations to 182.39 nm, while the interior point method can correct the aberrations to 100.95 nm. This method has great significance for giving full exploit to the performance of the deformable mirror and improving the wavefront correction capability of the AO system. © COPYRIGHT SPIE. Downloading of the abstract is permitted for personal use only.

关键词： Adaptive optics

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Multimodal Brain Imaging Fusion for the White-Matter Fiber Architecture in the Human Brain

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Neuroscience Bulletin 2022年第5期38卷 561-564页

作者： Ming Song Zhengyi Yang Tianzi Jiang National Laboratory of Pattern Recognition Institute of AutomationThe Chinese Academy of SciencesBeijing 100190China Brainnetome Center Institute of AutomationThe Chinese Academy of SciencesBeijing 100190China University of the Chinese Academy of Sciences Beijing 100049China CAS Center for Excellence in Brain Science and Intelligence Technology Chinese Academy of SciencesBeijing 100190China Key Laboratory for Neuroinformation of the Ministry of Education School of Life Science and TechnologyUniversity of Electronic Science and Technology of ChinaChengdu 625014China The Queensland Brain Institute University of QueenslandBrisbaneQLD 4072Australia

Uncovering white-matter fiber architecture,particularly that of the human brain,is one of the major and most recent interests in the neuroscience community[1].Recently,a novel analysis method for quantifying white-mat... 详细信息

关键词： fiber white resolution

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Active Reasoning in an Open-World Environment 37

Active Reasoning in an Open-World Environment

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37th Conference on Neural Information Processing Systems, NeurIPS 2023

作者： Xu, Manjie Jiang, Guangyuan Liang, Wei Zhang, Chi Zhu, Yixin School of Computer Science & Technology Beijing Institute of Technology China Institute for AI Peking University China Yangtze Delta Region Academy of Beijing Institute of Technology Jiaxing China National Key Laboratory of General Artificial Intelligence BIGAI China

ISBN: (纸本)9781713899921

Recent advances in vision-language learning have achieved notable success on complete-information question-answering datasets through the integration of extensive world knowledge. Yet, most models operate passively, responding to questions based on pre-stored knowledge. In stark contrast, humans possess the ability to actively explore, accumulate, and reason using both newfound and existing information to tackle incomplete-information questions. In response to this gap, we introduce Conan, an interactive open-world environment devised for the assessment of active reasoning. Conan facilitates active exploration and promotes multi-round abductive inference, reminiscent of rich, open-world settings like Minecraft. Diverging from previous works that lean primarily on single-round deduction via instruction following, Conan compels agents to actively interact with their surroundings, amalgamating new evidence with prior knowledge to elucidate events from incomplete observations. Our analysis on Conan underscores the shortcomings of contemporary state-of-the-art models in active exploration and understanding complex scenarios. Additionally, we explore Abduction from Deduction, where agents harness Bayesian rules to recast the challenge of abduction as a deductive process. Through Conan, we aim to galvanize advancements in active reasoning and set the stage for the next generation of AI agents adept at dynamically engaging in environments. © 2023 Neural information processing systems foundation. All rights reserved.

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Atropisomer-based construction of a new perylene diimide macrocycle as visible-light photocatalyst for selective sulfide oxidation

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Chinese Chemical Letters 2022年第12期33卷 5088-5091页

作者： Fei Yang Miaomiao Zhen Shanshan Wang Wei Wei Huan He Yanqing Xu Key Laboratory of Cluster Science Ministry of Education of ChinaBeijing Key Laboratory of Photoelectronic/Electrophotonic Conversion MaterialsSchool of Chemistry and Chemical EngineeringBeijing Institute of TechnologyBeijing 100081China Department of Chemistry Capital Normal UniversityBeijing 100048China Test&Analysis Center of Shougang Technical Research Institute Beijing 100043China

By using a perylene diimine(PDI)syn-atropisomer as highly preorganized precursor,we successfully constructed a visible-light-active organic macrocycle *** formation of macrocyclic structure effectively avoids self-aggregation of PDI cores and enhances the absorption in visible *** a photocatalyst,PDI-M exhibits excellent activity on aerobic selective oxidation of sulfide into sulfoxide under visible light irradiation at room *** studies show that both superoxide and singlet oxygen act as reactive oxygen *** work provides a typical case toward the maximum utilization of photosensitive groups under mild conditions.

关键词： Macrocycles Perylene diimine Photocatalysis Atropisomer Selective oxidation

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A Neurological Recovery Prediction Algorithm Based on Multi-Feature Extraction and Bagging Aggregation 50

A Neurological Recovery Prediction Algorithm Based on Multi-...

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50th Computing in Cardiology, CinC 2023

作者： Jiang, Ke Wang, Zirui Shen, Runze Wang, Sibo Liu, Yang Feng, Yizhuo Lisun, Xiaohe Li, Zhenfeng School of Electronic Electrical and Communication Engineering University of Chinese Academy of Science Beijing China Aerospace Information Research Institute Chinese Academy of Sciences State Key Laboratory of Transducer Technology Beijing China

ISBN: (纸本)9798350382525

Objective: For the George B. Moody PhysioNet Challenge 2023. We aim to predict neurological recovery from coma after cardiac arrest (CA) by using multi-domain feature extraction methods and the ensemble model of machine learning (ML) classifiers. Methods: We employ methods such as wavelet packet transform (WPT) and short-timed fourier transform (STFT) to extract features from electroencephalogram (EEG) signals. Gradient boosting (GB), random forest (RF), and constructive covering algorithm (CCA) are selected to build models for predicting neurological recovery conditions. Results: Our team AHU lab, obtained a Challenge score of 0.418 (ranked 37th out of 62 teams) on the public validation set and 0.238 (ranked 33th out of 36 teams) on the hidden test set. Conclusions: We propose a prediction algorithm that combines multiple feature extraction and classifiers for predicting results and providing specific suggestions based on EEG analysis. © 2023 CinC.

关键词： Feature extraction

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