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Akademický článek

Construction Technologies of Self-compacting Concrete for Lining of Water Conveyance Shield Tunnel

Autor: SHI Aijun, WANG Yongjian, YAO Chukang, XIE Xiangming, WU Yulong, CAI Yixin

Publikováno v: Renmin Zhujiang, Vol 43 (2022)

Some problems exist in the construction of composite lining of water conveyance shield tunnel,such as vertical transportation of self-compacting concrete (SCC) in deep work shafts,long-distance horizontal transportation of SCC in tunnels,and placing

Externí odkaz: https://doaj.org/article/317484482d444256912e9c73c055fa79

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Functional Group Induced Transformations in Stacking and Electron Structure in Mo2CTx/NiS Heterostructures

Autor: Liu, Jiamin, Li, Guo, Zhang, Xinxu, Wei, Jiahao, Jia, Hui, Wu, Yulong, Liu, Changlong, Li, Yonghui

The two-dimensional transition metal carbide/nitride family (MXenes) has garnered significant attention due to their highly customizable surface functional groups. Leveraging modern material science techniques, the customizability of MXenes can be en

Externí odkaz: http://arxiv.org/abs/2310.18579

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Build a Ruler to Measure Electron Localization Function with Machine Learning Models: S-Au bonds Quantification in Thiolate Protected Gold Nanoclusters

Autor: Zhang, Xinxu, Jia, Hui, Tian, Fangzhen, Liu, Yandi, Carsten, Ullrich, Wu, Yulong, Liu, Changlong, Zhang, Xiaodong, Li, Yonghui

Complicated S-Au interaction patterns in thiolate-protected gold nanoclusters (TP-AuNCs) are important in the formation of versatility among clusters. In this study, the ELFnet, a novel convolutional neural network (CNN) model is trained and tested t

Externí odkaz: http://arxiv.org/abs/2305.07942

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