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| 1 | Gradient-structure-enhanced dielectric energy storage performance of flexible nanocomposites containing controlled preparation of defective TiO_(2) and ferroelectric KNbO_(3) nanosheets显示文摘Next generation power system needs dielectrics with increased dielectric energy density.However,the low energy density of dielectrics limits their development.Here,an asymmetric trilayered nanocomposite,with a transition layer(TL),an insulation layer(IL),and a polarization layer(PL),is designed based on poly(vinylidene fluoride)-polymethyl methacrylate(PVDF-PMMA)matrix using KNbO_(3)(KN)and TiO_(2)(TO)as the nanofillers.The morphology and defect control of the two-dimensional nano KN and nano TO fillers are realized via a hydrothermal method to increase the composite breakdown strength(E_(b))and the composite energy density(U_(e)).The asymmetric trilayered structure leads to a gradient electric field distribution,and the KN and TO nanosheets block charges transfer along z direction.As a result,the development path of the electrical trees is greatly curved,and E_(b) is effectively improved.And the Ue value of the nanocomposites reaches 17.79 J·cm^(-3) at 523 MV·m^(-1).On the basis,the composite Ue is further improved by defect control in TO nanosheets.The nanocomposite KN/TO/PVDF-PMMA containing TO with less oxygen vacancy concentration(calcined at oxygen atmosphere)acquires a high Ue of 21.61 J·cm^(-3) at 548 MV·m^(-1).This study provides an idea for improving the energy storage performance by combining the design of the composite dielectric structure and the control of nanofillers’defect and morphology. | Yan Wang Lili Zhao Ruicong Chen Wenhui Zhao Dengwei Hu Haoran Wang Bin Cui | 2024 | Nano Research2024，17，5： | 0 |
| 2 | Nanoparticle-induced drag reduction for polyacrylamide in turbulent flow with high Reynolds numbers显示文摘Although having been increasingly studied, there is still controversy as to when the addition of nanoparticles could improve the drag reduction performance of polymer drag reducer and particularly what is the underlying mechanism from the fluid dynamics viewpoint. The drag reduction effects of adding SiO_(2) nanoparticles to various polymer polyacrylamide(PAM) solutions were examined in this work.The optimal combination of SiO_(2) nanoparticles with cationic polyacrylamide was confirmed.Interestingly,the addition of SiO_(2) nanoparticles to cationic polyacrylamide solution was shown to be quite efficient for reducing drag, but only at higher flow rates with Reynolds numbers more than 6000, below which the nanoparticle addition is even negative. The addition of SiO_(2) nanoparticles to the PAM solution is supposed to play a dual role. The first is an increase in flow resistance caused by the Brownian motion of nanoparticles, while the second is a decrease in flow resistance caused by acting as nodes to protect the polymer chain from shear-induced breaking under high shear action. At optimal nanoparticle concentration and under higher Reynolds numbers, the later effect is dominant, which could improve the drag reduction performance of polymer drag reducers. Our work should serve as a guide for the application of natural gas fracturing, where the flow rate is frequently very high. | Xiaoping Li Jiaxin Pan Jinwen Shi Yanlin Chai Songwei Hu Qiaorong Han Yanming Zhang Xianwen Li Dengwei Jing | 2023 | Chinese Journal of Chemical Engineering2023，56，4： | 0 |
| 3 | CRISPR-detector:fast and accurate detection,visualization,and annotation of genome-wide mutations induced by genome editing events显示文摘The leading-edge CRISPR/CRISPR-associated technology is revolutionizing biotechnologies through genome editing.To track on/off-target events with emerging new editing techniques,improved bioinformatic tools are indispensable.Existing tools suffer from limitations in speed and scalability,especially with whole-genome sequencing(WGS)data analysis.To address these limitations,we have developed a comprehensive tool called CRISPR-detector,a web-based and locally deployable pipeline for genome editing sequence analysis.The core analysis module of CRISPR-detector is based on the Sentieon TNscope pipeline,with additional novel annotation and visualization modules designed to fit CRISPR applications.Co-analysis of the treated and control samples is performed to remove existing background variants prior to genome editing.CRISPR-detector offers optimized scalability,enabling WGS data analysis beyond Browser Extensible Data file-defined regions,with improved accuracy due to haplotype-based variant calling to handle sequencing errors.In addition,the tool also provides integrated structural variation calling and includes functional and clinical annotations of editing-induced mutations appreciated by users.These advantages facilitate rapid and efficient detection of mutations induced by genome editing events,especially for datasets generated from WGS.The web-based version of CRISPR-detector is available at http://gffzz984746bd41ee48d7svcon5qnwo5nn6c6o.ffgz.tsg.suse.edu.cn/crispr-detector,and the locally deployable version is available at http://gffzz188fe103f8f1460asvcon5qnwo5nn6c6o.ffgz.tsg.suse.edu.cn/hlcas/CRISPR-detector. | Lei Huang Dan Wang Haodong Chen Jinnan Hu Xuechen Dai Chuan Liu Anduo Li Xuechun Shen Chen Qi Haixi Sun Dengwei Zhang Tong Chen Yuan Jiang | 2023 | Journal of Genetics and Genomics2023，50，8： | 0 |
| 4 | Corrigendum to“CRISPR-detector:fast and accurate detection,visualization,and annotation of genome-wide mutations induced by genome editing events”[Journal of Genetics and Genomics(2023)563-572]显示文摘This corrigendum clarifies information in the article“CRISPR-detector:fast and accurate detection,visualization,and annotation of genomewide mutations induced by genome editing events”by Huang et al.(2023).In the figure legend of Fig.S1,the sentence“CRISPR-detector failed to report insertions larger than 72 bp while CRISPResso2 failed to report insertions larger than 53 bp.”should be corrected into“CRISPR-detector failed to report deletions larger than 71 bp while CRISPResso2 failed to report deletions larger than 53 bp.” | Lei Huang Dan Wang Haodong Chen Jinnan Hu Xuechen Dai Chuan Liu Anduo Li Xuechun Shen Chen Qi Haixi Sun Dengwei Zhang Tong Chen Yuan Jiang | 2023 | Journal of Genetics and Genomics2023，50，10： | 0 |
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