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    Materials Science and Engineering: R: Reports

    Materials Science and Engineering: R: Reports

    JournalISSN 0927-796XeISSN 1879-212X中科院 材料科学 1区

    年发文量

    研究主题

    论文(903)

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    1NewRecent Advances and Remaining Challenges of Physisorption-Based Porous Materials for Hydrogen Storage
    Xue Gao,Zeming Zhong,Liangjun Huang,Hui Wang,Liuzhang Ouyang, Lan Zhang,Min Zhu, Siewhwa Chan
    2027
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    2NewAdditive Manufacturing of Carbide Ceramics: Research Progress, Challenges and Prospects
    Saisai Zhu,Pei Wang, Xingmin Liu, Liping Guo,Yulei Zhang,Konda Gokuldoss Prashanth,Hejun Li,Paolo Colombo
    2027
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    3NewHigh-precision Inkjet Printing of Oxide Ceramics: Fundamentals, Applications, and Future Outlook
    Lihui Wang,Congyi Wu,Youmin Rong,Guojun Zhang,Xin Chen,Yu Huang, Yang Lu
    2027
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    4NewStrengthening Methods of High-Entropy Alloys
    Yuanqi Li,Yu Yin
    2027
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    5NewBeyond the Pixel: Artificial Vision Based on Optoelectronic Memristor Arrays
    Hongyi Li, Zhexin Li, Hailong Wang, Yongchao Yu,Zheng Lou,Lili Wang

    Advanced optoelectronic integration with sensing, storage, and computing functions shows great potential in next generation of vision hardware. To approach pathbreaking hardware design for in-situ multifunction and high parallelism, the rise of optoelectronic memristor offers a highly promising avenue for accelerating functional development of vision hardware. This paper provided new perspective of basic optoelectronic memristors characteristic and integration, array function in various visual level and their application roadmap in artificial vision systems. Firstly, the working principle and modulation classification of optoelectronic memristors has been detailly reviewed, and we further explored device physical models as well as essential artificial synaptic characteristics. Secondly, we introduced the physical architectures of optoelectronic memristor arrays and ANN computational frameworks for constructing artificial visual systems. Thirdly, the applications of integrated optoelectronic memristor arrays in artificial visual systems and their vision function from perception and memory, low-level preprocessing and high-level computing were discussed. Finally, we discussed the future prospects and current challenges of the integrated optoelectronic memristor arrays, which represent a key focus for future research and require collaborative efforts from researches.

    2027
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    高被引作者

    作者引用发文
    Michaël Alexandre108292
    Rajiv Mishra107801
    Philippe Dubois100543
    Paul K Chu821317
    Sie Chin Tjong56516
    Xuanyong Liu47883
    Chuanxian Ding47872
    Chuang Dong33431
    Weihua Wang33431
    Yiu-Wing Mai29437

    高产作者

    作者引用发文
    Paul K Chu821317
    Yiu-Wing Mai29437
    Jian Lu7057
    King-Ning Tu28297
    Mario Lanza627
    Zhong Lin Wang16316
    Sie Chin Tjong56516
    Sebastian Pazos506
    Xiaopeng Xu245
    Ruijie Ma1165

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