F
Feng-Lei Zhou
Researcher at University College London
Publications - 57
Citations - 1512
Feng-Lei Zhou is an academic researcher from University College London. The author has contributed to research in topics: Imaging phantom & Electrospinning. The author has an hindex of 17, co-authored 53 publications receiving 1004 citations. Previous affiliations of Feng-Lei Zhou include Manchester Academic Health Science Centre & Engineering and Physical Sciences Research Council.
Papers
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Journal ArticleDOI
Mass production of nanofibre assemblies by electrostatic spinning
TL;DR: In this paper, the authors summarize recent advances regarding the enhancement of electrospinning throughput with special emphasis on multiple jets from multi-needles and the free surface of polymer solutions.
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Manufacturing technologies of polymeric nanofibres and nanofibre yarns
Feng-Lei Zhou,Rong Hua Gong +1 more
TL;DR: In this paper, the authors present a comprehensive overview of processing technologies of polymeric nanofibres in the textile industry; however, the emphasis here is focused on electrospinning.
Journal ArticleDOI
A Highly Stretchable and Sensitive Strain Sensor Based on Dopamine Modified Electrospun SEBS Fibers and MWCNTs with Carboxylation
Bangze Zhou,Zhanxu Liu,Chenchen Li,Mengsi Liu,Liang Jiang,Yanfen Zhou,Feng-Lei Zhou,Feng-Lei Zhou,Shaojuan Chen,Stephen Jerrams,Jianyong Yu +10 more
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Jet deposition in near-field electrospinning of patterned polycaprolactone and sugar-polycaprolactone core–shell fibres
TL;DR: In this article, the effects of process parameters on the deposition of single component and compound core-shell jets in near-field electrospinning are reported, and it is shown that the working distance and fibre collector speed have a more significant influence on a single jet than the flow rate.
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Multidimensional diffusion MRI with spectrally modulated gradients reveals unprecedented microstructural detail
Henrik Lundell,Michael Nilsson,Tim B. Dyrby,Tim B. Dyrby,Geoff J M Parker,P. L.Hubbard Cristinacce,Feng-Lei Zhou,Daniel Topgaard,Samo Lasič +8 more
TL;DR: An augmented multidimensional diffusion encoding (MDE) framework is proposed, which unlocks a novel encoding dimension to assess time-dependent diffusion specific to structures with different microscopic anisotropies.