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Composition-Dependent Optical, Dielectric and D-Orbital Electron Characteristic of High-Throughput Horizontal Composition Gradient Li1-Xmgxti2o4 Combinatorial Film

SSRN

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SSRN 2024年

作者： Wang, Yueming Li, Yongfu Wei, Mingyang Jin, Kui Li, Qian Zhang, Ding Zhou, Xiang'an Han, Yating Lian, Jie School of Information Science and Engineering Shandong Provincial Key Laboratory of Laser Technology and Application Shandong University Qingdao266237 China Center for Optics Research and Engineering Key Laboratory of Laser & Infrared System Ministry of Education Shandong University Qingdao266237 China National Lab for Superconductivity Institute of Physics Chinese Academy of Sciences Beijing100190 China State Key Laboratory of Low-Dimensional Quantum Physics Department of Physics Tsinghua University Beijing100084 China

The unique physical properties of LiTi2O4 and MgTi2O4 have attracted extensive research interest in various fields, including new type batteries and high-temperature superconductors. However, the intricate mechanism governing the d-orbital electron within this system still awaits further excavation. Herein, we employed the combinatorial laser molecular beam epitaxy technique to fabricate a high-quality composition-spread Li1-xMgxTi2O4 film and evaluated its structure, composition, surface morphology and phonon modes by X-ray diffraction, X-ray photoelectron spectroscopy, atomic force microscopy, and Raman scattering spectroscopy. The optical constants and dielectric properties of diverse microregions with varying Li/Mg content over a wide spectral range (189-1658 nm) were measured nondestructively using the ellipsometer, revealing the composition-dependent optical properties of Li1-xMgxTi2O4. By fitting the second derivative spectra (d2Ε/dE2) using the standard critical point model, five transitions within the detected spectral range were observed. Combining previous analyses and first-principles calculation, we attribute the critical points to crystal field (CF) transition 4A2 →4T1 originating from the spin state of tetrahedral Li/Mg ions, the binding of Ti-related pairs and electron transitions between O-2p to Ti-3d orbits. This exploration of the precise structure of the d-metal band provides a positive reference for the regulation and application of relevant devices. © 2024, The Authors. All rights reserved.

关键词： Lithium compounds

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Holographic performances of graphene oxide photopolymer [Invited] 10

Holographic performances of graphene oxide photopolymer [Inv...

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Holography, Diffractive Optics, and applications X 2020

作者： Zhang, Yaping Zhu, Xufeng Poon, Ting-Chung Key Laboratory of Laser Information Processing Technology and Application Kunming University of Science and Technology Kunming650500 China Bradley Department of Electrical and Computer Engineering Virginia Tech BlacksburgVA24061 United States

ISBN: (纸本)9781510639171

Graphene oxide (GO) is a precursor material for producing graphene. The electrical and optical properties of GO can be modified by reduction of the oxygen-containing groups. In this report, we have prepared graphene oxide polymers (GO-polymer) with different vol. % of GO and reduced the polymer by direct laser writing. We have found the refractive indexmodulation ofthe GO-polymerup to for15 vol.%. © 2020 SPIE.

关键词： Graphene

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Research on computer-generated holography based on polygons

Research on computer-generated holography based on polygons

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Frontiers in Optics, FiO_2019

作者： Zhang, Yaping Poon, T.-C. Key Lab of Laser Information Processing Technology and Application Kunming University of Science and Technology China Bradley Department of Electrical and Computer Engineering Virginia Tech United States

ISBN: (纸本)9781943580675

关键词： Computer generated holography

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Single-shot spatial-temporal-spectral complex amplitude imaging via wavelength-time multiplexing

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Advanced Photonics 2025年第02期 123-134页

作者： Yingming Xu Chengzhi Jin Liangze Pan Yu He Yunhua Yao Dalong Qi Cheng Liu Junhui Shi Zhenrong Sun Shian Zhang Jianqiang Zhu Research Center for Novel Computational Sensing and Intelligent Processing Zhejiang Lab Chinese Academy of Sciences Shanghai Institute of Optics and Fine Mechanics Key Laboratory of High Power Laser and Physics East China Normal University School of Physics and Electronic Science State Key Laboratory of Precision Spectroscopy South-Central Minzu University College of Electronics and Information Engineering China Jiliang University College of Optical and Electronic Technology

Single-shot ultrafast multidimensional optical imaging(UMOI) combines ultrahigh temporal resolution with multidimensional imaging capabilities in a snapshot, making it an essential tool for real-time detection and analysis of ultrafast scenes. However, current single-shot UMOI techniques cannot simultaneously capture the spatial-temporal-spectral complex amplitude information, hampering it from complete analyses of ultrafast *** address this issue, we propose a single-shot spatial-temporal-spectral complex amplitude imaging(STS-CAI)technique using wavelength and time multiplexing. By employing precise modulation of a broadband pulse via an encoding plate in coherent diffraction imaging and spatial-temporal shearing through a wide-open-slit streak camera, dual-mode multiplexing image reconstruction of wavelength and time is achieved, which significantly enhances the efficiency of information acquisition. Experimentally, a custom-built STS-CAI apparatus precisely measures the spatiotemporal characteristics of picosecond spatiotemporally chirped and spatial vortex pulses, respectively. STS-CAI demonstrates both ultrahigh temporal resolution and robust phase sensitivity. Prospectively, this technique is valuable for spatiotemporal coupling measurements of large-aperture ultrashort pulses and offers promising applications in both fundamental research and applied sciences.

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Hierarchical Object-to-Zone Graph for Object Navigation

Hierarchical Object-to-Zone Graph for Object Navigation

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International Conference on Computer Vision (ICCV)

作者： Sixian Zhang Xinhang Song Yubing Bai Weijie Li Yakui Chu Shuqiang Jiang Key Lab of Intelligent Information Processing Laboratory of the Chinese Academy of Sciences (CAS) Institute of Computing Technology Beijing University of Chinese Academy of Sciences Beijing Huawei Application Innovate Laboratory Beijing Institute of Intelligent Computing Technology Suzhou CAS

ISBN: (纸本)9781665428132

The goal of object navigation is to reach the expected objects according to visual information in the unseen environments. Previous works usually implement deep models to train an agent to predict actions in real-time. However, in the unseen environment, when the target object is not in egocentric view, the agent may not be able to make wise decisions due to the lack of guidance. In this paper, we propose a hierarchical object-to-zone (HOZ) graph to guide the agent in a coarse-to-fine manner, and an online-learning mechanism is also proposed to update HOZ according to the real-time observation in new environments. In particular, the HOZ graph is composed of scene nodes, zone nodes and object nodes. With the pre-learned HOZ graph, the real-time observation and the target goal, the agent can constantly plan an optimal path from zone to zone. In the estimated path, the next potential zone is regarded as sub-goal, which is also fed into the deep reinforcement learning model for action prediction. Our methods are evaluated on the AI2-Thor simulator. In addition to widely used evaluation metrics SR and SPL, we also propose a new evaluation metric of SAE that focuses on the effective action rate. Experimental results demonstrate the effectiveness and efficiency of our proposed method. The code is available at https://***/sx-zhang/***.

关键词： Measurement Weight measurement Visualization Computer vision Codes Navigation Reinforcement learning

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Luminescence properties and applications of Ca2ScTaO6: Bi3+, Ln3+ (Ln = Eu, Sm, Dy, Tb) phosphors

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Ceramics International 2025年

作者： Niu, Yaping Wu, Fugen Zhuo, Yifu Li, Jie Zhang, Qi Teng, Yun Xie, Xiaozhu Dong, Huafeng Mu, Zhongfei School of Materials and Energy Guangdong University of Technology Waihuan Xi Road No.100 Guangzhou510006 China The College of Information Engineering Guangzhou Vocational University of Science and Technology Guangcong Nine Road Guangzhou510550 China The School of Information Engineering Guangdong University of Technology Guangzhou510006 China The School of Electronic Engineering Beijing University of Posts and Telecommunications Bejing100876 China Beijing Key Laboratory of Space-Ground Interconnection and Convergence Beijing100876 China Laser Micro/Nano Processing Lab School of Electromechanical Engineering Guangdong University of Technology Guangzhou510006 China School of Physics and Optoelectronic Engineering Guangdong University of Technology Waihuan Xi Road No.100 Guangzhou510006 China Experimental Teaching Department Guangdong University of Technology Waihuan Xi Road No.100 Guangzhou510006 China

Currently, phosphors have been widely used in many fields, such as lighting, display, non-contact optical temperature measurement, color-temperature indicating, anti-counterfeiting, and so on. However, it remains a challenge to develop phosphors with multiple functions. Herein, a series of Ca2ScTaO6 (CSTO): Bi3+, Ln3+ (Ln = Eu, Sm, Dy, Tb) phosphors were synthesized by traditional high-temperature solid-phase method. Under 307 nm excitation, Bi3+ doped CSTO presents broadband emission with a peak at 382 nm in near-ultraviolet (NUV) spectral region. Taking advantage of the different luminous thermal stability of Bi3+ and Ln3+ (Ln = Eu, Sm, Dy, Tb), a series of optical thermometers were evaluated. Among them, CSTO: Bi3+, Eu3+ phosphor presents the best fluorescence temperature sensing performance (Maximums of absolute sensitivity (Sa) and relative sensitivity (Sr) are 0.139 K-1 (398 K) and 1.91 % K−1 (423 K), respectively). Luminescence color of CSTO: Bi3+, Dy3+ phosphor change significantly with increasing temperature, exhibiting their application as a color-temperature indicator. Anti-counterfeiting application of mixed phosphors, CSTO: Eu3+ and CSTO: Bi3+, Tb3+, under excitation at different wavelengths was also demonstrated. These results indicate that CSTO: Bi3+, Ln3+ (Ln = Eu, Sm, Dy, Tb) phosphors are multifunctional with promising applications in the fields of optical temperature measurement, color-temperature indicating, and anti-counterfeiting. © 2025 Elsevier Ltd and Techna Group S.r.l.

关键词： Temperature measurement

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Customized Conversational Recommender Systems

arXiv

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arXiv 2022年

作者： Li, Shuokai Zhu, Yongchun Xie, Ruobing Tang, Zhenwei Zhang, Zhao Zhuang, Fuzhen He, Qing Xiong, Hui Institute of Computing Technology Chinese Academy of Sciences Beijing100190 China University of Chinese Academy of Sciences Beijing100049 China WeChat Search Application Department Tencent China King Abdullah University of Science and Technology Thuwal Saudi Arabia Institute of Artificial Intelligence Beihang University Beijing100191 China Sklsde School of Computer Science Beihang University Beijing100191 China Artificial Intelligence Thrust The Hong Kong University of Science and Technology Guangzhou China The Key Lab of Intelligent Information Processing of Chinese Academy of Sciences China

Conversational recommender systems (CRS) aim to capture user's current intentions and provide recommendations through real-time multi-turn conversational interactions. As a human-machine interactive system, it is essential for CRS to improve the user experience. However, most CRS methods neglect the importance of user experience. In this paper, we propose two key points for CRS to improve the user experience: (1) Speaking like a human, human can speak with different styles according to the current dialogue context. (2) Identifying fine-grained intentions, even for the same utterance, different users have diverse finegrained intentions, which are related to users' inherent preference. Based on the observations, we propose a novel CRS model, coined Customized Conversational Recommender System (CCRS), which customizes CRS model for users from three perspectives. For human-like dialogue services, we propose multi-style dialogue response generator which selects context-aware speaking style for utterance generation. To provide personalized recommendations, we extract user's current fine-grained intentions from dialogue context with the guidance of user's inherent preferences. Finally, to customize the model parameters for each user, we train the model from the meta-learning perspective. Extensive experiments and a series of analyses have shown the superiority of our CCRS on both the recommendation and dialogue service. © 2022, CC BY-SA.

关键词： Recommender systems

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Bayesian dual neural networks for recommendation

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Frontiers of Computer Science 2019年第6期13卷 1255-1265页

作者： Jia HE Fuzhen ZHUANG Yanchi LIU Qing HE Fen LIN Key Lab of Intelligent Information Processing of Chinese Academy of Sciences Institute of Computing TechnologyChinese Academy of SciencesBeijing 100190China University of Chinese Academy of Sciences Beijing 100049China Rutgers University Newark 07102USA Search Product Center WeChat Search Application DepartmentTencentBeijing 100080China

Most traditional collaborative filtering(CF)methods only use the user-item rating matrix to make recommendations,which usually suffer from cold-start and sparsity *** address these problems,on the one hand,some CF methods are proposed to incorporate auxiliary information such as user/item profiles;on the other hand,deep neural networks,which have powerful ability in learning effective representations,have achieved great success in recommender ***,these neural network based recommendation methods rarely consider the uncertainty of weights in the network and only obtain point estimates of the ***,they maybe lack of calibrated probabilistic predictions and make overly confident *** this end,we propose a new Bayesian dual neural network framework,named BDNet,to incorporate auxiliary information for ***,we design two neural networks,one is to learn a common low dimensional space for users and items from the rating matrix,and another one is to project the attributes of users and items into another shared latent *** that,the outputs of these two neural networks are combined to produce the final ***,we introduce the uncertainty to all weights which are represented by probability distributions in our neural networks to make calibrated probabilistic *** experiments on real-world data sets are conducted to demonstrate the superiority of our model over various kinds of competitors.

关键词： collaborative filtering Bayesian neural network hybrid recommendation algorithm

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Efficient spatialtemporal context modeling for action recognition?

arXiv

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arXiv 2021年

作者： Cao, Congqi Lu, Yue Zhang, Yifan Jiang, Dongmei Zhang, Yanning Natl. Engineering Laboratory for Integrated Aero-Space-Ground-Ocean Big Data Application Technology Shaanxi Provincial Key Lab on Speech and Image Information Processing School of Computer Science Northwestern Poly-technical University Xi'an710129 China National Laboratory of Pattern Recognition Institute of Automation Chinese Academy of Sciences University of Chinese Academy of Sciences Beijing100190 China

Contextual information plays an important role in action recognition. Local operations have difficulty to model the relation between two elements with a long-distance interval. However, directly modeling the contextual information between any two points brings huge cost in computation and memory, especially for action recognition, where there is an additional temporal dimension. Inspired from 2D criss-cross attention used in segmentation task, we propose a recurrent 3D criss-cross attention (RCCA-3D) module to model the dense long-range spatiotemporal contextual information in video for action recognition. The global context is factorized into sparse relation maps. We model the relationship between points in the same line along the direction of horizon, vertical and depth at each time, which forms a 3D criss-cross structure, and duplicate the same operation with recurrent mechanism to transmit the relation between points in a line to a plane finally to the whole spatiotemporal space. Compared with the non-local method, the proposed RCCA-3D module reduces the number of parameters and FLOPs by 25% and 30% for video context modeling. We evaluate the performance of RCCA-3D with two latest action recognition networks on three datasets and make a thorough analysis of the architecture, obtaining the optimal way to factorize and fuse the relation maps. Comparisons with other state-of-the-art methods demonstrate the effectiveness and efficiency of our model. Copyright © 2021, The Authors. All rights reserved.

关键词： Machine learning

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A Real-Time Imaging processing Method Based on Modified RMA with Sub-Aperture Images Fusion for Spaceborne Spotlight SAR

A Real-Time Imaging Processing Method Based on Modified RMA ...

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IEEE International Symposium on Geoscience and Remote Sensing (IGARSS)

作者： Fang Zhou Jun Yang Guangcai Sun Jiajia Zhang School of Computer and Information Hefei University of Technology Hefei China National Key Lab of Radar Signal Processing Xidian University Xi'an China Key Laboratory of Aperture Array and Space Application East China Research Institute of Electronic Engineering Hefei China

ISBN: (数字)9781728163741

ISBN: (纸本)9781728163758

The small satellite SAR has received increasing attention due to its flexibility and low cost. But limited by the data transmission technology, real-time transmission of a large amount of raw data generated by the spaceborne spotlight SAR can hardly be achieved. Meanwhile, the azimuth bandwidth of the spotlight mode is larger than the PRF, resulting in aliasing of the azimuth spectrum. Based on these, this paper proposes a real-time scheme for small satellite SAR with spotlight mode. The method can solve the problem of data transmission and eliminate spectrum overlap in Doppler domain by means of sub-aperture processing. The modified range migration algorithm (RMA) is used to perform range compression and range cell migration compensation (RCMC) on sub-aperture data. Then dechirp in the azimuth time domain is applied to obtain the low-resolution complex image focused in the range time-azimuth frequency domain. Finally, all theected onto a grid image with azimuth interval matching the azimuth full-resolution to complete image fusion.

关键词： Azimuth Spaceborne radar Real-time systems Synthetic aperture radar Doppler effect Imaging Bandwidth

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