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Feng, Lichao (author), Yi, Shengjie (author), Zhao, Shuyuan (author), Zhong, Qiucheng (author), Ren, Feirong (author), Liu, C. (author), Zhang, Y. (author), Wang, Wenshou (author), Li, Zhenming (author)
Recycling aluminosilicate-based solid wastes is imperative to realize the sustainable development of constructions. By using alkali activation technology, aluminosilicate-based solid wastes, such as furnace slag, fly ash, red mud, and most of the bio-ashes, can be turned into alternative binder materials to Portland cement to reduce the carbon...
review 2024
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Zhang, F. (author), Wu, Z. (author), Wang, Jianlin (author), Wu, Zhenduo (author), Zhao, C. (author), Eijt, S.W.H. (author), Schut, H. (author), van Dijk, N.H. (author), Brück, E.H. (author)
Recently, the all-d-metal Ni(Co)MnTi based Heusler compounds are found to have a giant magnetocaloric effect (GMCE) near room temperature and manifest different functionalities like multicaloric effects, which can be employed for solid-state refrigeration. However, in comparison to other traditional Heusler compounds, the relatively large...
journal article 2024
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Wang, C. (author), Liu, M. (author), Bannenberg, L.J. (author), Zhao, C. (author), Thijs, M.A. (author), Boshuizen, B. (author), Ganapathy, S. (author), Wagemaker, M. (author)
Lithium metal with its high theoretical capacity and low negative potential is considered one of the most important candidates to raise the energy density of all-solid-state batteries. However, lithium filament growth and its induced solid electrolyte decomposition pose severe challenges to realize a long cycle life. Here, dendrite growth in...
journal article 2024
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Wang, Lei (author), Zhao, Ning (author), Zhu, Changrui (author), Chen, Lei (author), Jiang, Yang (author), Zhou, Rulong (author), Liu, Yanfang (author), Qu, Bingyan (author), Hintzen, H.T.J.M. (author)
In the field of solid-state luminescence, Cu<sup>2+</sup> has long been widely acknowledged for its capacity to emit infrared light. However, the occurrence of visible emission from Cu<sup>2+</sup> ions had been infrequently observed and reported. In this study, we made an intriguing discovery by examining the behavior of Cu<sup>2+</sup>...
journal article 2024
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Sun, J. (author), van Prooijen, Bram (author), Wang, Xianye (author), Zhao, Zhonghao (author), He, Qing (author), Wang, Zhengbing (author)
Creeks are essential for salt marshes by conveying water and sediment through this geomorphic system. In this paper, we investigate the mechanisms that determine the residual sediment flux using measurements conducted in tidal creeks in salt marshes of the Yangtze Estuary. A main creek and a secondary creek were studied to explore whether the...
journal article 2024
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Yao, Liaojun (author), Wang, Jiexiong (author), He, Yonglyu (author), Zhao, Xiuhui (author), Chen, Xiangming (author), Liu, J. (author), Guo, Licheng (author), Alderliesten, R.C. (author)
Fatigue delamination growth (FDG) is an important failure in composite structures during their long-term operations. Hygrothermal aging can have significant effects on interlaminar resistance. It is therefore really necessary to explore FDG behavior in composite laminates with hygrothermal aging. Dynamic mechanical thermal analysis (DMTA),...
journal article 2024
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Wang, Q. (author), Zhou, Dong (author), Zhao, C. (author), Wang, Jianlin (author), Guo, Hao (author), Wang, Liguang (author), Yao, Zhenpeng (author), Lu, Jun (author), Wagemaker, M. (author)
Sodium-ion batteries have not only garnered substantial attention for grid-scale energy storage owing to the higher abundance of sodium compared with lithium, but also present the possibility of fast charging because of the inherently higher sodium-ion mobility. However, it remains a phenomenal challenge to achieve a combination of these...
journal article 2024
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Wang, Q. (author), Zhou, Yunan (author), Wang, Xuelong (author), Guo, Hao (author), Gong, Shuiping (author), Yao, Zhenpeng (author), Ganapathy, S. (author), Zhao, C. (author), Wagemaker, M. (author)
All-solid-state lithium batteries have attracted widespread attention for next-generation energy storage, potentially providing enhanced safety and cycling stability. The performance of such batteries relies on solid electrolyte materials; hence many structures/phases are being investigated with increasing compositional complexity. Among the...
journal article 2024
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Wang, Jinpeng (author), Zhang, Shang (author), Fenn, Peter (author), Luo, Xiaowei (author), Liu, Y. (author), Zhao, Lilin (author)
Previous studies revealed that Building Information Modeling (BIM) has the potential to reduce project uncertainties, design errors, change orders, and delays, which might facilitate achieving effective dispute management in the construction industry. However, research into the adoption of BIM to holistically enhance effective dispute...
review 2023
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Zhao, Jing (author), Knoop, V.L. (author), Sun, Jian (author), Ma, Zian (author), Wang, M. (author)
Path dispersion (the spatial distribution of vehicular paths) is an important feature of traffic flow inside intersections and differs from traffic flow running along traffic lanes at road segment, especially under conflicting movements. The path dispersion reflects the operational features of traffic flow and is related to driving behaviour,...
journal article 2023
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Wang, Guozhi (author), Pei, Binbin (author), Xu, Haojun (author), Lv, Maolong (author), Zhao, Z. (author), Bu, Xiangwei (author)
This paper proposes a flight risk analysis method that combines risk assessment and visual deduction to study the causes of flight accidents, specifically the loss of control caused by failure factors. The goal is to explore the impact of these failure factors on loss-of-control events and illustrate the risk evolution under different scenarios...
journal article 2023
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Zhao, J. (author), Knoop, V.L. (author), Wang, M. (author)
Microscopic traffic flow models enable predictions of traffic operations, which allows traffic engineers to assess the efficiency and safety effects of roadway designs. Modeling vehicle trajectories inside intersections is challenging because there is an infinite number of possible paths in a two-dimensional space, and drivers can...
journal article 2023
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Wang, Q. (author), Zhao, C. (author), Yao, Zhenpeng (author), Wang, Jianlin (author), Wu, Fangting (author), Kumar, Sai Govind Hari (author), Ganapathy, S. (author), Eustace, S.J. (author), Wagemaker, M. (author)
Developing liquid electrolytes with higher kinetics and enhanced interphase stability is one of the key challenges for lithium batteries. However, the poor solubility of lithium salts in solvents sets constraints that compromises the electrolyte properties. Here, it is shown that introducing multiple salts to form a high-entropy solution,...
journal article 2023
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Wang, Xiaoda (author), Zhao, Yuqing (author), Han, Lumin (author), Li, Ling (author), Kiss, A.A. (author)
Cylcohexanol is an essential bulk chemical that can be produced via cyclohexene hydration, a liquid-liquid two-phase reaction that is limited by the low reaction rate and the equilibrium conversion. Adding an appropriate solvent is the most promising method to break through these limitations. However, in previous works the solvent was almost...
journal article 2023
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Ying, Chong (author), Cheng, Bin (author), Zhao, Youwei (author), Huang, He Liang (author), Zhang, Y.N. (author), Gong, Ming (author), Wu, Yulin (author), Wang, S. (author), Liang, Futian (author)
Although near-term quantum computing devices are still limited by the quantity and quality of qubits in the so-called NISQ era, quantum computational advantage has been experimentally demonstrated. Moreover, hybrid architectures of quantum and classical computing have become the main paradigm for exhibiting NISQ applications, where low-depth...
journal article 2023
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Ni, Tao (author), Lan, G. (author), Wang, Jia (author), Zhao, Qingchuan (author), Xu, Weitao (author)
Radio-frequency (RF) energy harvesting is a promising technology for Internet-of-Things (IoT) devices to power sensors and prolong battery life. In this paper, we present a novel side-channel attack that leverages RF energy harvesting signals to eavesdrop mobile app activities. To demonstrate this novel attack, we propose AppListener, an...
conference paper 2023
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Wang, Zaifa (author), Wang, Zhenyu (author), Xue, Dingchuan (author), Zhao, Jun (author), Zhang, Xuedong (author), Geng, Lin (author), Li, Yanshuai (author), Du, Congcong (author), Wagemaker, M. (author)
The rock-salt phase (RSP) formed on the surface of Ni-rich layered cathodes in liquid-electrolyte lithium-ion batteries is conceived to be electrochemically "dead". Here we show massive RSP forms in the interior of LiNi<sub>x</sub>Mn<sub>y</sub>Co<sub>(1−x-y)</sub>O<sub>2</sub> (NMC) crystals in sulfide based all solid state batteries (ASSBs)...
journal article 2023
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Wan, Pei (author), Wu, Shaopeng (author), Liu, Quantao (author), Wang, Huan (author), Gong, Xing (author), Zhao, Zenggang (author), Xu, S. (author), Jiang, Jian (author), Fan, Lulu (author), Tu, Liangliang (author)
Self-healing is a biological phenomenon in which living organism responds to the suffered damage in a complex way. Inspired by the self-healing phenomenon in nature, various biomimetic healing methods rooted in intrinsic or extrinsic healing mechanisms have been explored. Research on novel self-healing asphalt materials with intelligent...
review 2023
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Quan, D. (author), Wang, Guilong (author), Zhao, Guoqun (author), Alderliesten, R.C. (author)
The exceptional mechanical properties of Polyether-ether-ketone(PEEK) polymers make them ideal candidates for interlayer toughening of carbon fibre/epoxy composites. Herein, ultra-thin PEEK films with a thickness of 8μm, 18μm and 25μm were used for interlayer toughening of an aerospace-grade carbon fibre/epoxy composite. The mode-I and mode...
journal article 2023
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Zhao, Wenzhao (author), Fan, Yuling (author), Wang, Hongjian (author), Gemmeke, Hartmut (author), van Dongen, K.W.A. (author), Hopp, Torsten (author), Hesser, Jürgen (author)
Objective. The image reconstruction of ultrasound computed tomography is computationally expensive with conventional iterative methods. The fully learned direct deep learning reconstruction is promising to speed up image reconstruction significantly. However, for direct reconstruction from measurement data, due to the lack of real labeled...
journal article 2023
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