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Programmable directional color dynamics using plasmonics

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Microsystems & Nanoengineering 2024年第1期10卷 325-334页

作者： Gyurin Kim Doeun Kim Soeun Ko Jang-Hwan Han Juhwan Kim Joo Hwan Ko Young Min Song Hyeon-Ho Jeong School of Electrical Engineering and Computer Science Gwangju Institute of Science and TechnologyGwangju 61005Republic of Korea Department of Semiconductor Engineering Gwangju Institute of Science and TechnologyGwangju 61005Republic of Korea Artificial Intelligence(ai)Graduate School Gwangju Institute of Science and TechnologyGwangju 61005Republic of Korea

Adaptive multicolor filters have emerged as key components for ensuring color accuracy and resolution in outdoor visual devices.However,the current state of this technology is still in its infancy and largely reliant on liquid crystal devices that require high voltage and bulky structural designs.Here,we present a multicolor nanofilter consisting of multilayered‘active’plasmonic nanocomposites,wherein metallic nanoparticles are embedded within a conductive polymer nanofilm.These nanocomposites are fabricated with a total thickness below 100 nm using a‘lithography-free’method at the wafer level,and they inherently exhibit three prominent optical modes,accompanying scattering phenomena that produce distinct dichroic reflection and transmission colors.Here,a pivotal achievement is that all these colors are electrically manipulated with an applied external voltage of less than 1 V with 3.5 s of switching speed,encompassing the entire visible spectrum.Furthermore,this electrically programmable multicolor function enables the effective and dynamic modulation of the color temperature of white light across the warm-to-cool spectrum(3250 K-6250 K).This transformative capability is exceptionally valuable for enhancing the performance of outdoor optical devices that are independent of factors such as the sun’s elevation and prevailing weather conditions.

关键词： directional prevailing exceptional

Multistage guidance on the diffusion model inspired by human artists’ creative thinking

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Frontiers of Information Technology & Electronic Engineering 2024年第1期25卷 170-178页

作者： Wang QI Huanghuang DENG Taihao LI ai Research institute Zhejiang LabHangzhou 311121China Department of Computer Science and Technology Zhejiang UniversityHangzhou 310027China

Current research on text-conditional image generation shows parallel performance with ordinary painters but still has much room for improvement when compared to that of artist-ability paintings,which usually represent multilevel semantics by gathering features ofmultiple objects into one object.In a preliminary experiment,we confirm this and then seek the opinions of three groups of individuals with varying levels of art appreciation ability to determine the distinctions that exist between painters and artists.We then use these opinions to improve an artificial intelligence(ai)painting system from painter-level image generation toward artistic-level image generation.

关键词： gathering ordinary artist

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Restoration of the JPEG Maximum Lossy Compressed Face Images with Hourglass Block-GAN

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Computers, Materials & Continua 2024年第3期78卷 2893-2908页

作者： Jongwook Si Sungyoung Kim Department of Computer ai Convergence Engineering Kumoh National Institute of TechnologyGumi39177Korea Department of Computer Engineering Kumoh National Institute of TechnologyGumi39177Korea

In the context of high compression rates applied to Joint Photographic Experts Group(JPEG)images through lossy compression techniques,image-blocking artifacts may manifest.This necessitates the restoration of the image to its original quality.The challenge lies in regenerating significantly compressed images into a state in which these become identifiable.Therefore,this study focuses on the restoration of JPEG images subjected to substantial degradation caused by maximum lossy compression using Generative Adversarial Networks(GAN).The generator in this network is based on theU-Net architecture.It features a newhourglass structure that preserves the characteristics of the deep layers.In addition,the network incorporates two loss functions to generate natural and high-quality images:Low Frequency(LF)loss and High Frequency(HF)loss.HF loss uses a pretrained VGG-16 network and is configured using a specific layer that best represents features.This can enhance the performance in the high-frequency region.In contrast,LF loss is used to handle the low-frequency region.The two loss functions facilitate the generation of images by the generator,which can mislead the discriminator while accurately generating high-and low-frequency regions.Consequently,by removing the blocking effects frommaximum lossy compressed images,images inwhich identities could be recognized are generated.This study represents a significant improvement over previous research in terms of the image resolution performance.

关键词： JPEG lossy compression restoration image generation GAN

Boosting Multi-modal Ocular Recognition via Spatial Feature Reconstruction and Unsupervised Image Quality Estimation

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Machine Intelligence Research 2024年第1期21卷 197-214页

作者： Zihui Yan Yunlong Wang Kunbo Zhang Zhenan Sun Lingxiao He Center for Research on Intelligent Perception and Computing National Laboratory of Pattern RecognitionInstitute of AutomationChinese Academy of SciencesBeijing 100190China JD ai Research Beijing 100176China

In the daily application of an iris-recognition-at-a-distance(IAAD)system,many ocular images of low quality are acquired.As the iris part of these images is often not qualified for the recognition requirements,the more accessible periocular regions are a good complement for recognition.To further boost the performance of IAAD systems,a novel end-to-end framework for multi-modal ocular recognition is proposed.The proposed framework mainly consists of iris/periocular feature extraction and matching,unsupervised iris quality assessment,and a score-level adaptive weighted fusion strategy.First,ocular feature reconstruction(OFR)is proposed to sparsely reconstruct each probe image by high-quality gallery images based on proper feature maps.Next,a brand new unsupervised iris quality assessment method based on random multiscale embedding robustness is proposed.Different from the existing iris quality assess-ment methods,the quality of an iris image is measured by its robustness in the embedding space.At last,the fusion strategy exploits the iris quality score as the fusion weight to coalesce the complementary information from the iris and periocular regions.Extensive experi-mental results on ocular datasets prove that the proposed method is obviously better than unimodal biometrics,and the fusion strategy can significantly improve therecognition performance.

关键词： Iris recognition periocular recognition spatial feature reconstruction fully convolutional network flexible matching unsupervised iris quality assessment adaptive weight fusion

Promoting interactions between cognitive science and large language models

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The Innovation 2024年第2期5卷 9-10页

作者： Youzhi Qu Penghui Du Wenxin Che Chen Wei Chi Zhang Wanli Ouyang Yatao Bian Feiyang Xu Bin Hu Kai Du Haiyan Wu Jia Liu Quanying Liu Department of Biomedical Engineering Southern University of Science and TechnologyShenzhen 518055China Shanghai ai Laboratory Shanghai 200232China Tencent ai Lab Shenzhen 518057China iFLYTEK ai Research Hefei 230088China School of Medical Technology Beijing Institute of TechnologyBeijing 100081China institute for Artificial Intelligence Peking UniversityBeijing 100871China Centre for Cognitive and Brain Sciences and Department of Psychology University of MacaoMacao 999078China Department of Psychology Tsinghua UniversityBeijing 100084China

Large language models(LLMs)have made unprecedented progress,demonstrating human-like language proficiency and an extraordinary ability to encode complex knowledge.The emergence of high-level cognitive capabilities in LLMs,such as in-context learning and complex reasoning,suggests a path toward the realization of artificial general intelligence(AGI).However,we lack scientific theories and tools to assess and interpret such an emergence of the advanced intelligence of LLMs.Artificial intelligence(ai)has been extensively applied in various areas of fundamental science to accelerate scientific research.

关键词： cognitive such language

蚯蚓直线运动的三轴地面反作用力:测量、分析和对机器人建模的影响

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Acta Mechanica Sinica 2024年第2期40卷 1-14页

作者：方虹斌师瑞徐鉴 institute of ai and Robotics State Key Laboratory of Medical NeurobiologyMOE Engineering Research Center of AI&RoboticsFudan UniversityShanghai200433China

蚯蚓在狭窄受限环境中具有良好的移动性,但其在运动过程中与地面的三轴反作用力还未被深入研究.本文探讨了蚯蚓在直线运动过程中的三轴地反力特征及其对机器人建模的影响.具体地,本研究设计了一个基于应变片的三轴微型测力板来测量蚯蚓(... 详细信息

蚯蚓在狭窄受限环境中具有良好的移动性,但其在运动过程中与地面的三轴反作用力还未被深入研究.本文探讨了蚯蚓在直线运动过程中的三轴地反力特征及其对机器人建模的影响.具体地,本研究设计了一个基于应变片的三轴微型测力板来测量蚯蚓(P.guillelmi)在直线运动时的三轴地反力.通过建立地反力的时间历程与运动视频的对应关系,将蚯蚓的周期性运动划分为三个阶段,并从蚯蚓身体变形的角度解析了地反力在三个阶段的力学特征.本研究还对蚯蚓的地反力特征进行了统计分析,并建立了蚯蚓直线运动过程的阻力系数模型.以此为基础,本文还提出了与机器人节段/单元变形相关的阻力系数模型,为离散型和连续型仿蚯蚓机器人的动力学建模提供基础.本研究首次对蚯蚓运动过程中的mN级三轴地反力进行了测量、分析和建模,研究结果对蚯蚓运动生物力学、仿蚯蚓移动机器人设计和机器人-环境接触界面调控等具有重要的指导意义.

关键词：移动机器人直线运动运动视频运动生物力学应变片周期性运动环境接触界面调控

From the perspective of experimental practice: High-throughput computational screening in photocatalysis

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Green Energy & Environment 2024年第1期9卷 1-6页

作者： Yunxuan Zhao Junyu Gao Xuanang Bian Han Tang Tierui Zhang Key Laboratory of Photochemical Conversion and Optoelectronic Materials Technical Institute of Physics and ChemistryChinese Academy of SciencesBeijing100190China Center of Materials Science and Optoelectronics Engineering University of Chinese Academy of SciencesBeijing100049China institute for ai Industry Research(aiR) Tsinghua UniversityBeijing100084China

Photocatalysis,a critical strategy for harvesting sunlight to address energy demand and environmental concerns,is underpinned by the discovery of high-performance photocatalysts,thereby how to design photocatalysts is now generating widespread interest in boosting the conversion efﬁ-ciency of solar energy.In the past decade,computational technologies and theoretical simulations have led to a major leap in the development of high-throughput computational screening strategies for novel high-efﬁciency photocatalysts.In this viewpoint,we started with introducing the challenges of photocatalysis from the view of experimental practice,especially the inefﬁciency of the traditional“trial and error”method.Sub-sequently,a cross-sectional comparison between experimental and high-throughput computational screening for photocatalysis is presented and discussed in detail.On the basis of the current experimental progress in photocatalysis,we also exempliﬁed the various challenges associated with high-throughput computational screening strategies.Finally,we offered a preferred high-throughput computational screening procedure for pho-tocatalysts from an experimental practice perspective(model construction and screening,standardized experiments,assessment and revision),with the aim of a better correlation of high-throughput simulations and experimental practices,motivating to search for better descriptors.

关键词： Photocatalysis High-throughput computational screening Photocatalyst Theoretical simulations Experiments

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Large-Area Gravure-Printed AgNWs Electrode on Water/Oxygen Barrier Substrate for Long-Term Stable Large-Area Flexible Organic Solar Cells

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Chinese Journal of Chemistry 2024年第5期42卷 478-484页

作者： Hao Wang Yaqin Pan Yunfei Han Zhuo Chen Tianyu Liu Lianping Zhang Qun Luo Chang-Qi Ma Printable Electronics Research Center & i-Lab Suzhou Institute of Nano-Tech and Nano-BionicsChinese Academy of Sciences (CAS)SuzhouJiangsu215123 China Nano Science and Technology institute University of Science and Technology of China166 Ren Ai RoadSEID SIPSuzhouJiangsu215123 China

Large-area AgNWs electrodes(25 cm×10 cm)were fabricated through roll-to-roll printing on the polyvinyl alcohol(PVA)modified water and oxygen barrier substrate.The modification of the barrier film with PVA improved the wettability of silver nanowires on the barrier films and led to the formation of homogenous large-area AgNWs networks.The mechanical flexibility,especially the adhesion force between the silver electrode and the barrier film substrate was dramatically improved through PVA modification.The efficiency of 13.51%for the flexible OSCs with an area of 0.64 cm2 was achieved based on the PET/barrier film/PVA/AgNWs electrode.The long-term stability showed the flexible OSCs based on the PET/barrier film/PVA/AgNWs electrode have a significantly improved stability relative to the device on PET/AgNWs electrode,and comparable air stability as the rigid device with glass/ITO device.The unencapsulated devices maintained nearly 50%of the original efficiency after storage for 600 h in air.After a simple top encapsulation,the flexible devices remained at 60%of the initial efficiency after 2000 h in the air.Therefore,the flexible AgNWs electrode based on the barrier film would have the potential to improve the air storage stability of organic flexible solar cells.

关键词： Flexible organic solar cell AgNWs electrode air storage stability Barrier films substrate Energy conversion Flexible electronics Interface

Exercise-with-melatonin therapy improves sleep disorder and motor dysfunction in a rat model of ischemic stroke

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Neural Regeneration Research 2024年第6期19卷 1336-1343页

作者： Haitao Zhao Tong Zhang Haojie Zhang Yunlei Wang Lingna Cheng School of Rehabilitation Medicine Capital Medical University Department of Neurological Rehabilitation Beijing Bo'ai Hospital China Rehabilitation Research Center 3. School of Rehabilitation Medicine University of Health and Rehabilitation Sciences 4. Laboratory of Brain Injury Repair and Rehabilitation China Rehabilitation Science Institute

Exercise-with-melatonin therapy has complementary and synergistic effects on spinal cord injury and Alzheimer’s disease, but its effect on stroke is still poorly understood. In this study, we established a rat model of ischemic stroke by occluding the middle cerebral artery for 60 minutes. We treated the rats with exercise and melatonin therapy for 7 consecutive days. Results showed that exercise-with-melatonin therapy significantly prolonged sleep duration in the model rats, increased delta power values, and regularized delta power rhythm. Additionally, exercise-with-melatonin therapy improved coordination, endurance, and grip strength, as well as learning and memory abilities. At the same time, it led to higher hippocampal CA1 neuron activity and postsynaptic density thickness and lower expression of glutamate receptor 2 than did exercise or melatonin therapy alone. These findings suggest that exercise-withmelatonin therapy can alleviate sleep disorder and motor dysfunction by increasing glutamate receptor 2 protein expression and regulating hippocampal CA1 synaptic plasticity.

关键词： exercise glutamate receptor 2 hippocampus ischemic stroke learning melatonin memory sleep disorder synaptic plasticity