
Xiaomin Liu
Articles
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Jul 31, 2024 |
nature.com | Xiaomin Liu
AbstractChiral assemblies have become one of the most active research areas due to their versatility, playing an increasingly important role in bio-detection, imaging and therapy. In this work, chiral UCNPs/CuxOS@ZIF nanoprobes are prepared by encapsulating upconversion nanoparticles (UCNPs) and CuxOS nanoparticles (NPs) into zeolitic imidazolate framework-8 (ZIF-8).
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Jan 26, 2024 |
nature.com | Shuai Yuan |Linjie Dai |Yuqi Sun |Florian Auras |Yun Liu |Cathal Cassidy | +10 more
AbstractPerovskite light-emitting diodes (LEDs) show promises for next-generation displays owing to their excellent luminescent properties and low cost. Despite substantial progress with green- and red-emitting devices, the development of efficient blue perovskite LEDs has lagged behind.
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Oct 14, 2023 |
onlinelibrary.wiley.com | Yikang Li |Chenxi Li |Xiaomin Liu |Qian Zhang
REFERENCES 1 GB 3096-2008, Environmental Quality Standard for Noise, China Environmental Science Press, Beijing 2008 in Chinese. 2 GB 50118-2010, Code for Design of Sound Insulation of Civil Buildings, China Architecture & Building Press, Beijing 2010 in Chinese. 3 BS 8233: 2014, Guidance on Sound Insulation and Noise Reduction for Buildings, BSI Standards Limited, London 2014. 4, Thin Wall. Struct. 2005, 43(4), 845. 5, , J. Constr Steel Res. 2006, 62, 730.
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Sep 19, 2023 |
mdpi.com | Sinan Wang |Xiaomin Liu |Yingjie Wu
This is an early access version, the complete PDF, HTML, and XML versions will be available soon. Open AccessArticleby 1, 2,* and 1 1Yinshanbeilu National Field Research Station of Desert Steppe Eco-Hydrological System, China Institute of Water Resources and Hydropower Research, Beijing 100038, China2Water Conservancy and Civil Engineering College, Inner Mongolia Agricultural University, Hohhot 010018, China*Author to whom correspondence should be addressed.
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Sep 3, 2023 |
researchgate.net | Min Xiao |Chen Lv |Xiaomin Liu
Context 1... investigate the impacts of the Feature Pyramid Network (FPN) module on the performance of light field depth estimation, an experiment was conducted in which the FPN module was removed from the original model and retrained. The results, as presented in Table 4, demonstrate that the FPattNet model achieved a decrease of 0.521 in average Mean Squared Error (MSE) and a decrease of 3.881 in BadPix values.
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