Xiang Han

2 months ago | nature.com | Hongli Chen |Xiang Han

AbstractThe advancement of aqueous zinc-based batteries is greatly restricted by zinc dendrites. One potential solution to this challenge lies in the employment of high-modulus separators. However, achieving both high modulus and large ionic conductivity in a single separator remains a formidable task. Inspired by the wood architecture, this study breaks this trade-off by designing an anisotropic and biodegradable separator.

Dec 8, 2024 | mdpi.com | Xiang Han |Li Shen |Lixing Yao |Yu Xin Liu

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Dec 15, 2023 | mdpi.com | Shuaijie Jing |Longlong Ren |Yue Zhang |Xiang Han

All articles published by MDPI are made immediately available worldwide under an open access license. No specialpermission is required to reuse all or part of the article published by MDPI, including figures and tables. Forarticles published under an open access Creative Common CC BY license, any part of the article may be reused withoutpermission provided that the original article is clearly cited. For more information, please refer tohttps://www.mdpi.com/openaccess.

Apr 3, 2023 | onlinelibrary.wiley.com | Zibi Wang |Ding Wang |Dong Liu |Xiang Han

Abstract A seamless and tough interface to integrate incompatible/immiscible soft materials is highly desired for flexible/wearable electronics and many soft devices with multi-layer structures. Here, a surfactant-mediated interfacial chemistry is introduced to achieve seamless and tough interfaces in soft multi-layer structures, with an ultra-high interfacial toughness up to ≈1300 J m−2 for the architectural gel hybrid (AGH).

Mar 31, 2023 | mdpi.com | Yue Zhang |Xiang Han |Ang Gao |Shuaijie Jing

Abstract:Achieving fast and accurate prediction of the fruit mechanical damage area is important to improve the accuracy and efficiency of apple quality grading. In this paper, the spectral data of all samples in the wavelength range from 376 to 1011 nm were collected, the sample set was divided by the physicochemical coeval distance method, and the spectral preprocessing methods were evaluated by establishing a full-wavelength artificial neural network model.