Výsledky vyhledávání

Akademický článek

Highly Efficient Aligned Ion-Conducting Network and Interface Chemistries for Depolarized All-Solid-State Lithium Metal Batteries

Autor: Yongbiao Mu, Shixiang Yu, Yuzhu Chen, Youqi Chu, Buke Wu, Qing Zhang, Binbin Guo, Lingfeng Zou, Ruijie Zhang, Fenghua Yu, Meisheng Han, Meng Lin, Jinglei Yang, Jiaming Bai, Lin Zeng

Publikováno v: Nano-Micro Letters, Vol 16, Iss 1, Pp 1-18 (2024)

Highlights This study introduces an innovative 3D-printed electrolyte with vertically aligned ion transport network, which contains well-dispersed nanoscale Ta-doped Li7La3Zr2O12 in a poly(ethylene glycol) diacrylate matrix. The 3DSE architecture ena

Externí odkaz: https://doaj.org/article/e53cda45005a4ac2b84931797023996d

Zobrazit plný text záznamu

Plný text ve formátu HTML

Akademický článek

Identification of candidate metabolite biomarkers for metabolic syndrome and its five components in population-based human cohorts

Publikováno v: Cardiovascular Diabetology, Vol 22, Iss 1, Pp 1-16 (2023)

Abstract Background Metabolic Syndrome (MetS) is characterized by risk factors such as abdominal obesity, hypertriglyceridemia, low high-density lipoprotein cholesterol (HDL-C), hypertension, and hyperglycemia, which contribute to the development of

Externí odkaz: https://doaj.org/article/ae77aba3a99a49d3bf080ee8cff128b9

Zobrazit plný text záznamu

Plný text ve formátu HTML

Akademický článek

Study on wear resistance of local aluminum alloy reinforced by carbon fiber transfer membrane region

Autor: Shixiang Yu, Zhiqiang Zhang, Qin Wang, Mingwen Ren, Hongjie Jia

Publikováno v: Journal of Materials Research and Technology, Vol 23, Iss , Pp 5772-5782 (2023)

In order to study the effect of fiber reinforced resin matrix composites on the friction properties of aluminum alloy, 7075 aluminum alloy, Carbon fiber reinforced plastic (CFRP) and 7075-Al/CFRP hybrid samples were selected for pin-disk friction tes

Externí odkaz: https://doaj.org/article/91c7dbe9c2824a9caf71044cfade97c0

Zobrazit plný text záznamu

Akademický článek

Prediction of Myocardial Infarction Using a Combined Generative Adversarial Network Model and Feature-Enhanced Loss Function

Autor: Shixiang Yu, Siyu Han, Mengya Shi, Makoto Harada, Jianhong Ge, Xuening Li, Xiang Cai, Margit Heier, Gabi Karstenmüller, Karsten Suhre, Christian Gieger, Wolfgang Koenig, Wolfgang Rathmann, Annette Peters, Rui Wang-Sattler

Publikováno v: Metabolites, Vol 14, Iss 5, p 258 (2024)

Accurate risk prediction for myocardial infarction (MI) is crucial for preventive strategies, given its significant impact on global mortality and morbidity. Here, we propose a novel deep-learning approach to enhance the prediction of incident MI cas

Externí odkaz: https://doaj.org/article/7c0eaa0fd093440fafc29218b6d3e6b2

Zobrazit plný text záznamu

Akademický článek

3D Printing of Multiscale Ti64‐Based Lattice Electrocatalysts for Robust Oxygen Evolution Reaction

Autor: Binbin Guo, Jiahui Kang, Tianbiao Zeng, Hongqiao Qu, Shixiang Yu, Hui Deng, Jiaming Bai

Publikováno v: Advanced Science, Vol 9, Iss 24, Pp n/a-n/a (2022)

Abstract Electrically assisted water splitting is an endurable strategy for hydrogen production, but the sluggish kinetics of oxygen evolution reaction (OER) extremely restrict the large‐scale production of hydrogen. Developing highly efficient and

Externí odkaz: https://doaj.org/article/d555d6461dce436d978f40e7d7527c7e

Zobrazit plný text záznamu

Plný text ve formátu HTML

Akademický článek

Investigation of functionally graded TPMS structures fabricated by additive manufacturing

Autor: Shixiang Yu, Jinxing Sun, Jiaming Bai

Publikováno v: Materials & Design, Vol 182, Iss , Pp - (2019)

Triply periodic minimal surfaces (TPMS), which have zero mean curvature and large surface areas, are discussed in this paper. Two TPMS structures, the Schwarz Primitive (P) and Gyroid, were designed with both uniform and graded density and fabricated

Externí odkaz: https://doaj.org/article/26080afe687e4f36ab71190d4ead1d4d

Zobrazit plný text záznamu

Vyhledávací nástroje:

Upřesnit hledání