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Yufang Chang
Researcher at Shenyang Conservatory of Music
Publications - 12
Citations - 508
Yufang Chang is an academic researcher from Shenyang Conservatory of Music. The author has contributed to research in topics: Computer science & Engineering. The author has an hindex of 4, co-authored 4 publications receiving 270 citations.
Papers
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Journal ArticleDOI
Properties and Applications of the β Phase Poly(vinylidene fluoride).
TL;DR: The basic knowledge and character methods for PVDF fabrication are discussed and an overview of recent advances on the phase modification and recent applications of the β phase PVDF are reported to provide an insight for the development and utilization of βphase PVDF nanofilms in future electronics.
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Synthesis and characterization of morphology-controllable BiFeO3 particles with efficient photocatalytic activity
Qingqing Duan,Fan Kong,Xiaoli Han,Yangfan Jiang,Tingting Liu,Yufang Chang,Lianqun Zhou,Gaowu Qin,Xianmin Zhang +8 more
TL;DR: The single phase BiFeO3 (BFO) particles were synthetised by a facile hydrothermal method under the special sodium hydroxide (NaOH) concentration.
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Phase modification of copper phthalocyanine semiconductor by converting powder to thin film
TL;DR: In this paper, the effect of substrate anneal temperature on the film structure, grain size, and optical absorption property of thin films of copper phthalocyanine (CuPc) semiconductor were measured by X-ray diffraction spectroscopy technique.
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Magnetoresistance Effect and the Applications for Organic Spin Valves Using Molecular Spacers
TL;DR: Basic knowledge of the fabrication and evaluation of organic spin devices is introduced, some remarkable applications for organic spin valves using molecular spacers are reviewed, and the current bottlenecks that hinder further enhancement for the performance of organicspin devices are discussed.
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Minimum hydrogen consumption‐based energy management strategy for hybrid fuel cell unmanned aerial vehicles using direction prediction optimal foraging algorithm
TL;DR: In this article , the authors proposed an optimization method based on a direction prediction optimal foraging algorithm (OFA/DP), which has the advantages of high optimization capability and simple parameter definition.