Yunhui Zhu

Duke University, Durham, NC 
nonlinear optics
"Yunhui Zhu"
Mean distance: 13552


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Daniel Gauthier grad student 2013 Duke
 (Theory and application of SBS-based group velocity manipulation in optical fiber.)
George Barbastathis post-doc Virginia Tech (E-Tree)
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Fang Y, Zhu Y, Li L, et al. (2021) Biomaterial-Interrelated Bacterial Sweeper: Simplified Self-Assembled Octapeptides with Double-Layered Trp Zipper Induces Membrane Destabilization and Bacterial Apoptosis-Like Death. Small Methods. 5: e2101304
Cao X, Liu K, Liu J, et al. (2021) Dysbiotic Gut Microbiota and Dysregulation of Cytokine Profile in Children and Teens With Autism Spectrum Disorder. Frontiers in Neuroscience. 15: 635925
Zhang B, Huang P, Hu Q, et al. (2021) Polymer Electrochemiluminescence Featuring Thermally Activated Delayed Fluorescence. Chemphyschem : a European Journal of Chemical Physics and Physical Chemistry
Liang Y, Song P, Chen W, et al. (2020) Inhibition of Caspase-1 Ameliorates Ischemia-Associated Blood-Brain Barrier Dysfunction and Integrity by Suppressing Pyroptosis Activation. Frontiers in Cellular Neuroscience. 14: 540669
Zhu Y, Li Y, Reese M, et al. (2020) Behavior and Performance of Suckling Piglets Provided Three Supplemental Heat Sources. Animals : An Open Access Journal From Mdpi. 10
Su L, Cao F, Cheng C, et al. (2020) High Fluorescence Rate Thermally Activated Delayed Fluorescence Emitters for Efficient and Stable Blue OLEDs. Acs Applied Materials & Interfaces
Li K, Zhu Y, Yao B, et al. (2020) Rotation-restricted thermally activated delayed fluorescence compounds for efficient solution-processed OLEDs with EQEs of up to 24.3% and small roll-off. Chemical Communications (Cambridge, England)
Chen H, Yang T, Wu Z, et al. (2020) Quantitative 3D structural analysis of the cellular microstructure of sea urchin spines (II): Large-volume structural analysis. Acta Biomaterialia
Yang T, Wu Z, Chen H, et al. (2020) Quantitative 3D structural analysis of the cellular microstructure of sea urchin spines (I): Methodology. Acta Biomaterialia
Han Y, Griffiths RJ, Yu HZ, et al. (2020) Quantitative microstructure analysis for solid-state metal additive manufacturing via deep learning Journal of Materials Research. 35: 1936-1948
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