Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Chuanchao Zhu"'
Autor:
Jiyou Jin, Chuanchao Zhu, Yanrong Wang, Zhongpu Wang, Zhisheng Peng, Kang Peng, Hui Liu, Haonan Wei, Weiguo Chu, Weimin Fan, Yong Jun Li, Lianfeng Sun
Publikováno v:
ACS Applied Electronic Materials. 4:2964-2969
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5ff967a2fbea5d9d27f9355a60b2e65b
https://doi.org/10.1021/acsaelm.2c00409
https://doi.org/10.1021/acsaelm.2c00409
Publikováno v:
2021 China Automation Congress (CAC).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7078615c08c2e1bdf75bf15011fabe2f
https://doi.org/10.1109/cac53003.2021.9728635
https://doi.org/10.1109/cac53003.2021.9728635
Autor:
Jun He, Fekadu Tsegaye Dajan, Xueying Zhan, Peng Yu, Feng Wang, Chuanchao Zhu, Ningning Li, Marshet Getaye Sendeku, Zhenxing Wang, Yuyu Yao, Junjun Wang
Publikováno v:
Nanotechnology. 32(47)
Intrinsic two-dimensional (2D) magnetic materials own strong long-range magnetism while their characteristics of the ultrathin thickness and smooth surface provide an ideal platform for manipulating the magnetic properties at 2D limit. This makes the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d96582ffd39ddb5d3e48530d7d245360
https://pubmed.ncbi.nlm.nih.gov/34315143
https://pubmed.ncbi.nlm.nih.gov/34315143
Autor:
Chuanchao Zhu, Yanrong Wang, Feng Wang, Jia Yang, Xueying Zhan, Liang Fang, Zhenxing Wang, Jun He
Publikováno v:
Applied Physics Letters. 120:083101
Imagers with pre-processing functions, such as image recognition and classification, contrast enhancement, and noise reduction, play a critical role in the neuromorphic visual system. Optoelectronic plasticity is a prerequisite to achieve these funct
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b7ee7f3888d7938cbf1116ae7e7f7f25
https://doi.org/10.1063/5.0079535
https://doi.org/10.1063/5.0079535
Publikováno v:
Journal of Physics D: Applied Physics. 54:495001
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b0e5e78cbe351a433ed7b413db3445aa
https://doi.org/10.1088/1361-6463/ac24ca
https://doi.org/10.1088/1361-6463/ac24ca
Publikováno v:
Computational Intelligence and Security ISBN: 9783540308188
CIS (1)
CIS (1)
Filled function method is a type of efficient methods to solve global optimization problems arisen in non-convex programming. In this paper, a new class of filled functions is proposed. This class of filled functions has only one adjustable parameter
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b11b3ba97d15e675faf053a1683bea66
https://doi.org/10.1007/11596448_162
https://doi.org/10.1007/11596448_162
