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Equation of state of LiCoO_2 under 30 GPa pressure

Chinese Physics B 2019年第1期28卷 518-521页

作者： Yong-Qing Hu Lun Xiong Xing-Quan Liu Hong-Yuan Zhao Guang-Tao Liu Li-Gang Bai Wei-Ran Cui Yu Gong Xiao-Dong Li School of Intelligent Manufacturing Sichuan University of Arts and Science DaZhou Industrial Technology Institute of Intelligent Manufacturing School of Materials and Energy University of Electronic Science and Technology Research Branch of Advanced Materials&Green Energy Henan Institute of Science and Technology National Key Laboratory of Shock Wave and Detonation Physics Institute of Fluid Physics China Academy of Engineering Physics Institute of High Energy Physics Chinese Academy of Sciences

LiCoO_2 is one of the most important cathode materials for high energy density lithium ion batteries. The compressed behavior of LiCoO_2 under high pressure has been investigated using synchrotron radiation x-ray diffraction. It is found that LiCoO_2 maintains hexagonal symmetry up to the maximum pressure of 30.1 GPa without phase transition. The elastic modulus at ambient pressure is 159.5(2.2) GPa and its first derivative is 3.92(0.23). In addition, the high-pressure compression behavior of LiCoO_2 has been studied by first principles calculations. The derived bulk modulus of LiCoO_2 is 141.6 GPa.

关键词： equation of state high pressure LiCoO2

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St-Kan-Former: A Novel Spatiotemporal Transformer Neural Network for Air Quality Prediction

SSRN

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SSRN 2025年

作者： Zhang, Wenyong Xia, Dawen Chang, Guoyan Zheng, Zhiquan Hu, Yang Huo, Yujia Wang, Ziqiang Feng, Fujian Li, Yantao Li, Huaqing College of Data Science and Information Engineering Guizhou Minzu University Guiyang550025 China School of Computer Science and Engineering South China University of Technology Guangzhou510006 China Engineering Research Center of Micro-nano and Intelligent Manufacturing Ministry of Education Kaili University Kaili556011 China Affiliated Hospital of Guizhou Medical University Guiyang550001 China State Key Laboratory of Public Big Data Guizhou University Guiyang550008 China College of Computer Science Chongqing University Chongqing400044 China College of Electronic and Information Engineering Southwest University Chongqing400715 China

Accurate and timely air quality prediction is important for supporting daily activities and safeguarding respiratory health. However, the complex aerodynamic properties of air pollutants pose significant challenges to accurate air quality prediction. Most existing spatiotemporal prediction models extract spatial features in a coarse-grained manner, which cannot fully utilize the spatial feature data, resulting in poor prediction accuracy. To this end, we propose a novel air quality prediction method based on a Spatiotemporal Transformer with a Kolmogorov-Arnold Network (ST-KAN-Former). Specifically, in the temporal dimension, we use the wavelet transform, KAN, and ProbAttention network to construct the temporal feature extraction model. Based on this, the temporal dimension data are decomposed into high-frequency and low-frequency components, and then feature extraction is performed for fine-grained acquisition of temporal dimension features. Then, in the spatial dimension, we divide the spatial region into four subregions according to the distance parameter between the master site and the slave site and build a spatial feature extraction model for each subregion using KAN and ProbAttention networks. Next, we simulate the attenuation of pollutants during their dispersion to introduce the concept of diffusion coefficients. This approach allows us to apply diffusion processing to data from each subregion, enabling a finer granularity in capturing spatial characteristics. Finally, we employ the KAN and ProbAttention networks to construct a spatiotemporal feature fusion model that integrates temporal and spatial characteristics. Extensive experiments on the Beijing dataset demonstrate that ST-KAN-Former achieves better results compared with the other 11 benchmarks. © 2025, The Authors. All rights reserved.

关键词： Prediction models

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Automatic basketball detection in sport video based on R-FCN and soft-NMS 2019

Automatic basketball detection in sport video based on R-FCN...

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4th International Conference on Automation, Control and robotics Engineering, CACRE 2019

作者： Liang, Qiaokang Mei, Li Wu, Wanneng Sun, Wei Wang, Yaonan Zhang, Dan Key Laboratory of Intelligent Robot Technology in Electronic Manufacturing National Engineering Laboratory for Robot Vision Perception and Control Hunan University Changsha410082 China Department of Mechanical Engineering York University TorontoM3J 1P3 Canada

ISBN: (纸本)9781450371865

In basketball videos, the ball is always so small in the camera that its appearance feature is hard to be extracted. In this paper, we introduce a deep-learning technology to detect the basketball. Specifically, we train our basketball detection model based on the Region-based Fully Convolutional Networks (R-FCN) which uses the fully convolutional Residual Network (ResNet) as the backbone network. What’s more, we apply some new techniques including Online Hard Example Mining (OHEM), Soft-NMS and multi-scale training strategy to achieve higher detection accuracy. In detail, the OHEM method can reduce the cost of fine-tuning during training by calculating the loss of the RoIs. Soft-NMS can reduce the false positive rate by decreasing the object detection score between the overlap object. And the multi-scale training can improve the detection performance by receiving the good feature from the object with different scale. Finally, we achieve a mean average precision (mAP) value of 89.7% on a public basketball dataset. It proves that applying the deep-learning approach to basketball detection is effective. © 2019 Copyright is held by the owner/author(s).

关键词： Object recognition

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Thermal conductivity and rheological behavior of silica / simulated body fluid - Dispersed Hardystonite and Åkermanite nanofluids: X-ray diffraction to analyze structure and morphology of a bio-ceramic

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International Communications in Heat and Mass Transfer 2025年 165卷

作者： Liu, Shulong Saidani, Taoufik Feng, Dulong Alawi, Mohammed Jameel Hussien, Mohamed Deebani, Wejdan Anhui Province Key Laboratory of Intelligent Computing and Applications Huaibei Normal University Huaibei235000 China Anhui Province Industrial Generic Technology Research Center for Alumics Materials Huaibei Normal University Huaibei235000 China School of Physics and Electronic Information Huaibei Normal University Huaibei235000 China Center for Scientific Research and Entrepreneurship Northern Border University Arar73213 Saudi Arabia Anhui Guangbo Mechanical Electronic Manufacturing Co. Ltd. Huaibei235000 China Electrical Engineering Department College of Engineering and Architecture Umm Al-Qura University Makkah Saudi Arabia Department of Chemistry Faculty of Science King Khalid University P.O. Box 9004 Abha61413 Saudi Arabia Department of Mathematics College of Science & Arts King Abdul Aziz University Rabigh21911 Saudi Arabia

Bioceramics are integral in biomedical applications due to their biocompatibility, bioactivity, and mechanical properties. This study compares the thermal and rheological behavior of two hybrid bio-nanofluids (bi-ns): Hardystonite/Silica and Åkermanite/Silica dispersed in simulated body fluid (SBF). Nanoparticle morphology and composition were analyzed using X-ray diffraction (XRD) and field emission scanning electron microscopy (FESEM), confirming the crystalline phases of both composites. Åkermanite/Silica showed better dispersion stability, with a higher zeta potential (−16.19 mV) than Hardystonite/Silica (−7.23 mV). The addition of silica (SiO2) improved stability for both, with zeta potential increases of ∼203 % and 69 %, respectively. Thermal conductivity of both nanofluids increased with temperature and volume fraction, with Åkermanite/Silica achieving a maximum enhancement of 13.16 % (20–40 °C). However, both showed negative thermal conductivity enhancements compared to SBF, especially at higher concentrations. Hardystonite/Silica demonstrated greater thermal compatibility with SBF. Rheologically, both nanofluids exhibited shear-thinning behavior. Hardystonite/Silica showed a stronger reduction in viscosity with temperature increase—up to 43.43 % at 0.25 % volume fraction—compared to 32.74 % for Åkermanite/Silica. These results highlight the interaction between thermal and flow properties in bi-ns, indicating that Hardystonite/Silica may be better suited for applications requiring thermal compatibility and viscosity control. The findings contribute to the optimization of hybrid nanofluids for bone-related biomedical applications. © 2025 Elsevier Ltd

关键词： Medical nanotechnology

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Improved interfacial bonding strength of laser TC4/UHMWPE joints via a hybrid surface pretreatment

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Applied Surface Science 2025年 708卷

作者： Zhaoyang Chen Jin Yang Yinjiao He Ruijun Wang Yulong Li Ruijie Hao Yixuan Zhao Caiwang Tan Xiaoguo Song Jianguang Zhai School of Materials Science and Engineering Shanghai University of Engineering Science Shanghai 201620 China School of Intelligent Manufacturing Shanghai Zhongqiao Vocational and Technical University Shanghai 201514 China Key Lab for Robot & Welding Automation of Jiangxi Province School of Advanced Manufacturing Nanchang University Nanchang 330031 China State Key Laboratory of Advanced Welding and Joining Harbin Institute of Technology Harbin 150001 China

Titanium alloys and ultra-high molecular weight polyethylene (UHMWPE) are extensively utilized in biomedical implants due to their biocompatibility. As a kind of non-polar polymer, UHMWPE exhibits low surface activity and hydrophobicity, hindering a strong bonding to titanium alloys. This study introduced a novel hybrid modification method aimed at improving the reliability of artificial joint prostheses with a hybrid structure of Ti-6Al-4V titanium alloy (TC4) and UHMWPE. Firstly, the introduction of polar groups on the UHMWPE surface using an ultraviolet (UV) lamp/ozone. Secondly, the textured grids were processed on the TC4 surface using laser processing. The two materials were laser joined via heat transfer mode with a TC4-on-UHMWPE configuration. The bonding interface and fracture were characterized and analyzed by scanning electron microscopy (SEM), energy spectroscopy (EDS), X-ray photoelectron spectroscopy (XPS), and X-ray diffraction (XRD), which indicated the formation of mechanical interlocking and the generation of new chemical bonds at the interface. The bonding mechanism at the joint interface was also confirmed by density functional theory (DFT) calculations. The bidirectionally modified TC4-UHMWPE hybrid structure obtained a maximum tensile shear of 1233 N, realizing joint strength matching. This provides a new solution for the joining of non-polar polymers to metals. It is also essential for the development of more durable and reliable biomedical implants and prostheses.

关键词： Laser joining Laser surface texturing UHMWPE/TC4 dissimilar materials Ultraviolet/ozone

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Multi-UAV collaborative system with a feature fast matching algorithm

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Frontiers of Information technology & electronic Engineering 2020年第12期21卷 1695-1712页

作者： Tian-miao WANG Yi-cheng ZHANG Jian-hong LIANG Yang CHEN Chao-lei WANG School of Mechanical Engineering&Automation Beihang UniversityBeijing 100191China School of Physics and Mechatronics Engineering Longyan UniversityLongyan 364000China State Key Laboratory of Intelligent Manufacturing System Technology Beijing Institute of Electronic System EngineeringBeijing 100040China

We present a real-time monocular simultaneous localization and mapping(SLAM)system with a new distributed structure for multi-UAV collaboration *** system is different from other general SLAM systems in two aspects:First,it does not aim to build a global map,but to estimate the latest relative position between nearby vehicles;Second,there is no centralized structure in the proposed system,and each vehicle owns an individual metric map and an ego-motion estimator to obtain the relative position between its own map and the neighboring vehicles'.To realize the above characteristics in real time,we demonstrate an innovative feature description and matching algorithm to avoid catastrophic expansion of feature point matching workload due to the increased number of *** on the hash and principal component analysis,the matching time complexity of this algorithm can be reduced from 0(logN)to 0(1).To evaluate the performance,the algorithm is verified on the acknowledged multi-view stereo benchmark dataset,and excellent results are ***,through the simulation and real flight experiments,this improved SLAM system with the proposed algorithm is validated.

关键词： Multiple UAVs Collaboration Simultaneous localization and mapping(SLAM) Feature description and matching

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Matrix method and the suppression of Runge’s phenomenon

arXiv

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arXiv 2024年

作者： Shen, Shui-Fa Qian, Wei-Liang Zhang, Jie Pan, Yu Yan, Yu-Peng Shao, Cheng-Gang School of intelligent manufacturing Zhejiang Guangsha Vocational and Technical University of Construction Zhejiang Jinhua322100 China School of Electronic Electrical Engineering and Physics Fujian University of Technology Fujian Fuzhou350118 China Hefei Institutes of Physical Science Chinese Academy of Sciences Anhui Hefei230031 China Escola de Engenharia de Lorena Universidade de São Paulo SP Lorena12602-810 Brazil Center for Gravitation and Cosmology School of Physical Science and Technology Yangzhou University Jiangsu Yangzhou225002 China College of Physics and Electronic Engineering Qilu Normal University Shangdong Jinan250300 China College of Science Chongqing University of Posts and Telecommunications Chongqing400065 China School of Physics Suranaree University of Technology Nakhon Ratchasima30000 Thailand Thailand Center of Excellence in Physics Commission on Higher Education Ratchathewi Bangkok10400 Thailand MOE Key Laboratory of Fundamental Physical Quantities Measurement Hubei Key Laboratory of Gravitation and Quantum Physics PGMF School of Physics Huazhong University of Science and Technology Hubei Wuhan430074 China

Higher-degree polynomial interpolations carried out on uniformly distributed nodes are often plagued by overfitting, known as Runge’s phenomenon. This work investigates Runge’s phenomenon and its suppression in various versions of the matrix method for black hole quasinormal modes. It is shown that an appropriate choice of boundary conditions gives rise to desirable suppression of oscillations associated with the increasing Lebesgue constant. For the case of discontinuous effective potentials, where the application of the above boundary condition is not feasible, the recently proposed scheme with delimited expansion domain also leads to satisfactory results. The onset of Runge’s phenomenon and its effective suppression are demonstrated by evaluating the relevant waveforms. Furthermore, we argue that both scenarios are either closely related to or practical imitations of the Chebyshev grid. The implications of the present study are also addressed. Copyright © 2024, The Authors. All rights reserved.

关键词： Boundary conditions

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A motion assignment strategy based on macro-micro robotic system for enhancement of kinematic performance

A motion assignment strategy based on macro-micro robotic sy...

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IEEE International Conference on robotics and Biomimetics

作者： Yaohua Zhou Chin-Yin Chen Renfeng Zhu Ye Tang Guilin Yang Weijun Wang Yaonan Li College of Materials Sciences and Opto-Electronic Technology University of Chinese Academy of Sciences Beijing China Zhejiang Key Laboratory of Robotics and Intelligent Manufacturing Equipment Technology Ningbo Institute of Materials Technology and Engineering Chinese Academy of Sciences Ningbo China College of Mechanical Engineering Zhejiang University of Technology Hangzhou China Shenzhen Academy of Robotics Shenzhen China

ISBN: (纸本)9781665405362

In this paper, a motion assignment method based on a macro-micro robotic polishing system is proposed to enhance kinematic performance. Combined with workspace analysis and trajectory constraints of the micro, a search set is obtained for motion assignment. The optimal solution will be generated by traversing the search set. Finally, a simulation based on polishing tasks is performed and the effectiveness (about 25% enhancement) and stability of the proposed strategy is demonstrated.

关键词： Simulation Conferences Biomimetics Kinematics Stability analysis Trajectory Task analysis

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High-Resolution Natural Image Matting by Refining Low-resolution Alpha Mattes

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IEEE transactions on image processing : a publication of the IEEE Signal Processing Society 2025年 PP卷 PP页

作者： Xianmin Ye Yihui Liang Mian Tan Fujian Feng Lin Wang Han Huang College of Data Science and Information Engineering Guizhou Minzu University Guiyang China Guizhou Key Laboratory of Pattern Recognition and Intelligent System Guizhou Minzu University Guiyang China School of Computer Science Zhongshan Institute University of Electronic Science and Technology of China Zhongshan China Guizhou Key Laboratory of Pattern Recognition and Intelligent System and the College of Data Science and Information Engineering Guizhou Minzu University Guiyang China School of Software Engineering South China University of Technology Guangzhou China Key Laboratory of Big Data and Intelligent Robot (SCUT) MOE of China Guangzhou China Guangdong Engineering Center for Large Model and GenAI Technology Guangzhou China Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education Jilin University Changchun China

High-resolution natural image matting plays an important role in image editing, film-making and remote sensing due to its ability of accurately extract the foreground from a natural background. However, due to the complexity brought about by the proliferation of resolution, the existing image matting methods cannot obtain high-quality alpha mattes on high-resolution images in reasonable time. To overcome this challenge, we introduce a high-resolution image matting framework based on alpha matte refinement from low-resolution to high-resolution (HRIMF-AMR). The proposed framework transforms the complex high-resolution image matting problem into low-resolution image matting problem and high-resolution alpha matte refinement problem. While the first problem is solved by adopting an existing image matting method, the latter is addressed by applying the Detail Difference Feature Extractor (DDFE) designed as a part of our work. The DDFE extracts detail difference features from high-resolution images by measuring the image feature difference between high-resolution images and low-resolution images. The low-resolution alpha matte is refined according to the extracted detail difference feature, providing the high-resolution alpha matte. In addition, the Matte Detail Resolution Difference (MDRD) loss is introduced to train the DDFE, which imposes an additional constraint on the extraction of detail difference features with mattes. Experimental results show that integrating HRIMF-AMR significantly enhances the performance of existing matting methods on high-resolution images of Transparent-460 and Alphamatting. Project page: https://***/yexianmin/HRAMR-Matting.

关键词： Feature extraction Image resolution Image color analysis Optimization Remote sensing Clustering algorithms Accuracy Visualization Transforms Training

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Understanding the defect levels and photoluminescence in a series of bismuth-doped perovskite oxides: First-principles study

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Physical Review B 2021年第11期104卷 115101-115101页

作者： Bibo Lou Jun Wen Lixin Ning Min Yin Chong-Geng Ma Chang-Kui Duan Hefei National Laboratory for Physical Sciences at the Microscale and School of Physical Sciences University of Science and Technology of China Hefei 230026 China CAS Key Laboratory of Microscale Magnetic Resonance University of Science and Technology of China Hefei 230026 China School of Optoelectronic Engineering & CQUPT-BUL Innovation Institute Chongqing University of Posts and Telecommunications Chongqing 400065 China School of Electronic Engineering and Intelligent Manufacturing Anqing Normal University Anqing 246133 China Anhui Province Key Laboratory of Optoelectric Materials Science and Technology Key Laboratory of Functional Molecular Solids Ministry of Education Anhui Normal University Wuhu Anhui 241000 China CAS Center for Excellence in Quantum Information and Quantum Physics University of Science and Technology of China Hefei 230026 China

First-principles calculations using the hybrid density functional are carried out to study the defect levels and photoluminescence of bismuth doped in perovskites RAlO3 (R=Y, Gd, La) and LaBO3 (B=Al, Ga, In). Bismuth dopants are confirmed to be predominantly Bi3+ occupying the R site, i.e., BiR0 (R=Y, Gd, La). The variation of the electron trap depth BiR(0/−1) is shown mainly due to the shift of the conduction band, while the hole trap level BiR(+1/0) shows the correlation with the shortest R–O bond length in hosts. Based on the defect level diagram from the first-principles calculation, the transition types of excitation and emission are predicted. Among the systems considered, the lowest excited level that produces the photoluminescence is the P0,13 levels of the 6s16p1 configuration of Bi3+, except for Bi3+-doped LaAlO3, which is the valence band to Bi3+ charge transfer state. The photoluminescence involving P0,13 states shows similar Stokes shift in the series, and the excitation and emission energies exhibit almost linear correlation with the band gaps of hosts of a slope ∼0.22. Furthermore, our calculations show that there is no tendency of forming excessive Bi3+ pairs in all the five RBO3:Bi3+, while the Gd3+−Gd3+ coupling in GdAlO3 provides a “bridge” for energy migration from an excited isolated Bi3+ ion to the Bi3+ pairs that are naturally present due to random distribution, leading to the 495-nm emission being observed uniquely in bismuth-doped GdAlO3 among the series of systems considered. The results lay the basis for manipulating the trap levels and excitation and emission wavelengths in Bi3+-doped perovskite oxides.

关键词： Defects Luminescence Perovskites First-principles calculations

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