Dr JING ZHANG's Outputs (5)

Large Room-Temperature Magnetoresistance in van der Waals Ferromagnet/Semiconductor Junctions (2022)
Journal Article
Zhu, W., Xie, S., Lin, H., Zhang, G., Wu, H., Hu, T., Wang, Z., Zhang, X., Xu, J., Wang, Y., Zheng, Y., Yan, F., Zhang, J., Zhao, L., Patanè, A., Zhang, J., Chang, H., & Wang, K. (2022). Large Room-Temperature Magnetoresistance in van der Waals Ferromagnet/Semiconductor Junctions. Chinese Physics Letters, 39(12), Article 128501. https://doi.org/10.1088/0256-307x/39/12/128501

A magnetic tunnel junction (MTJ) is the core component in memory technologies, such as the magnetic random-access memory, magnetic sensors and programmable logic devices. In particular, MTJs based on two-dimensional van der Waals (vdW) heterostructur... Read More about Large Room-Temperature Magnetoresistance in van der Waals Ferromagnet/Semiconductor Junctions.

Dissecting microbial communities and resistomes for interconnected humans, soil, and livestock (2022)
Journal Article
Maciel-Guerra, A., Baker, M., Hu, Y., Wang, W., Zhang, X., Rong, J., Zhang, Y., Zhang, J., Kaler, J., Renney, D., Loose, M., Emes, R. D., Liu, L., Chen, J., Peng, Z., Li, F., & Dottorini, T. (2023). Dissecting microbial communities and resistomes for interconnected humans, soil, and livestock. ISME Journal, 17(1), 21-35. https://doi.org/10.1038/s41396-022-01315-7

A debate is currently ongoing as to whether intensive livestock farms may constitute reservoirs of clinically relevant antimicrobial resistance (AMR), thus posing a threat to surrounding communities. Here, combining shotgun metagenome sequencing, mac... Read More about Dissecting microbial communities and resistomes for interconnected humans, soil, and livestock.

Multi-Objective Optimization of the Iron Bridge between Segmeted PMs for an Outer-Rotor Brushless DC Motor (2022)
Presentation / Conference Contribution
Zhao, H., Zhang, H., Zhang, X., Gerada, D., Li, J., & Zhang, J. (2022, August). Multi-Objective Optimization of the Iron Bridge between Segmeted PMs for an Outer-Rotor Brushless DC Motor. Presented at 2022 IEEE International Conference on Industrial Technology (ICIT), Shanghai, China

To facilitate the processing, transportation and assembly of permanent magnet, a segmented PM design with positioning slots is proposed for an outer-rotor brushless DC motor in this article. First, the effect of the iron bridge between the segmented... Read More about Multi-Objective Optimization of the Iron Bridge between Segmeted PMs for an Outer-Rotor Brushless DC Motor.

Author Correction: Single-atom Cu anchored catalysts for photocatalytic renewable H2 production with a quantum efficiency of 56% (2022)
Journal Article
Zhang, Y., Zhao, J., Wang, H., Xiao, B., Zhang, W., Zhao, X., Lv, T., Thangamuthu, M., Zhang, J., Guo, Y., Ma, J., Lin, L., Tang, J., Huang, R., & Liu, Q. (2022). Author Correction: Single-atom Cu anchored catalysts for photocatalytic renewable H2 production with a quantum efficiency of 56%. Nature Communications, 13, Article 2062. https://doi.org/10.1038/s41467-022-29799-z

Correction to: Nature Communications https://doi.org/10.1038/s41467-021-27698-3, published online 10 January 2022.

In Supplementary Fig. 28b in the Supplementary PDF for this article, the figure panel incorrectly read ‘345 mW/cm2’ but should have... Read More about Author Correction: Single-atom Cu anchored catalysts for photocatalytic renewable H2 production with a quantum efficiency of 56%.

Whole-genome sequencing and gene sharing network analysis powered by machine learning identifies antibiotic resistance sharing between animals, humans and environment in livestock farming (2022)
Journal Article
Peng, Z., Maciel-Guerra, A., Baker, M., Zhang, X., Hu, Y., Wang, W., Rong, J., Zhang, J., Xue, N., Barrow, P., Renney, D., Stekel, D., Williams, P., Liu, L., Chen, J., Li, F., & Dottorini, T. (2022). Whole-genome sequencing and gene sharing network analysis powered by machine learning identifies antibiotic resistance sharing between animals, humans and environment in livestock farming. PLoS Computational Biology, 18(3), Article e1010018. https://doi.org/10.1371/journal.pcbi.1010018

Anthropogenic environments such as those created by intensive farming of livestock, have been proposed to provide ideal selection pressure for the emergence of antimicrobial-resistant Escherichia coli bacteria and antimicrobial resistance genes (ARGs... Read More about Whole-genome sequencing and gene sharing network analysis powered by machine learning identifies antibiotic resistance sharing between animals, humans and environment in livestock farming.