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Shan, Meixia (author), Zhang, Jingjing (author), Cong, Shenzhen (author), Zhang, Yatao (author), He, Xuezhong (author), Kapteijn, F. (author), Liu, X. (author)
Separation of hydrogen from carbon dioxide for sustainable H<sub>2</sub> production and CO<sub>2</sub> capture still faces great challenges due to the smaller size of H<sub>2</sub> and higher condensability of CO<sub>2</sub>. Herein, a high-performance benzimidazole-linked polymer (BILP) membrane for hydrogen separation was directly prepared...
journal article 2024
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Zhang, Zheng (author), Zhang, Dengyu (author), Zhang, Qingrui (author), Pan, W. (author), Hu, Tianjiang (author)
Integrating rule-based policies into reinforcement learning promises to improve data efficiency and generalization in cooperative pursuit problems. However, most implementations do not properly distinguish the influence of neighboring robots in observation embedding or inter-robot interaction rules, leading to information loss and inefficient...
journal article 2024
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Zhang, Z.H. (author), Andrade, Bruno (author), Wang, Xiaoqiong (author), Aburabee, Ibrahim (author), Yuan, Sinan (author)
Traditional Chinese villages act as the essential carriers of China’s rural heritage. Such villages are considered to retain living practices of intangible heritage through know-how, artistic and folk customs, as well as a well-preserved architectural appearance. However, their conservation is at stake due to degradation, abandonment, and...
journal article 2024
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Wang, Ranran (author), Zhang, Jun (author), Lu, Yijun (author), Ren, S. (author), Huang, Jiandong (author)
The design of geopolymer concrete must meet more stringent requirements for the landscape, so understanding and designing geopolymer concrete with a higher compressive strength challenging. In the performance prediction of geopolymer concrete compressive strength, machine learning models have the advantage of being more accurate and faster....
journal article 2024
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Gao, Y. (author), Liu, X. (author), Ren, S. (author), Assaf Martinez-Streignard, E.I. (author), Liu, Pengfei (author), Zhang, Yuqing (author)
Bitumen fatigue resistance is critical to determine the overall fatigue performance and service life of asphalt pavements. However, the mechanisms responsible for fatigue damage of bitumen have previously not been well understood. Molecular dynamics (MD) simulation has recently emerged as a powerful computer-aided numerical technique to model...
journal article 2024
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Mo, J. (author), Shankar, S. (author), Pezone, R. (author), Zhang, Kouchi (author), Vollebregt, S. (author)
Silicon carbide (SiC) is recognized as an excellent material for microelectromechanical systems (MEMS), especially those operating in challenging environments, such as high temperature, high radiation, and corrosive environments. However, SiC bulk micromachining is still a challenge, which hinders the development of complex SiC MEMS. To...
journal article 2024
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Hsiao, T. (author), Cova Fariña, P. (author), Oosterhout, S.D. (author), Jirovec, D. (author), Zhang, X. (author), van Diepen, C.J. (author), Lawrie, W.I.L. (author), Wang, C.A. (author), Sammak, A. (author), Scappucci, G. (author), Veldhorst, M. (author), Vandersypen, L.M.K. (author)
Quantum systems with engineered Hamiltonians can be used to study many-body physics problems to provide insights beyond the capabilities of classical computers. Semiconductor gate-defined quantum dot arrays have emerged as a versatile platform for realizing generalized Fermi-Hubbard physics, one of the richest playgrounds in condensed matter...
journal article 2024
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Jiang, Nengdong (author), Ge, Zhi (author), Wang, Zhiyuan (author), Gao, Tianming (author), Zhang, Hongzhi (author), Ling, Yifeng (author), Šavija, B. (author)
This study investigates the size effect on the compressive strength of foamed concrete at the mesoscale level combining X-ray computed tomography (X-CT) and a discrete lattice model. Image segmentation techniques and X-CT were employed to obtain virtual specimens comprising hydrated cement paste and air voids. The lineal-path function and...
journal article 2024
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Zhang, Zhenya (author), Mao, Jia (author), Liu, Zhengxuan (author)
In response to the growing global demand for clean and sustainable energy solutions, proton exchange membrane fuel cells (PEMFCs) have emerged as vital components in diverse decarbonization strategies. Despite their increasing importance, a comprehensive synthesis of recent advancements, challenges, and future prospects in thermal and water...
journal article 2024
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Zhang, P. (author), Li, S. (author), Dollevoet, R.P.B.J. (author), Li, Z. (author)
Short pitch corrugation has been a problem for railways worldwide over one century. In this paper, a parametric investigation of fastenings is conducted to understand the corrugation formation mechanism and gain insights into corrugation mitigation. A three-dimensional finite element vehicle–track dynamic interaction model is employed, which...
journal article 2024
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Tang, Zhuorui (author), Zhao, Shibo (author), Li, Jian (author), Zuo, Yuanhui (author), Tian, Jing (author), Tang, Hongyu (author), Fan, J. (author), Zhang, Kouchi (author)
This work addresses a novel technique for selecting the best process parameters for the 4H–SiC epitaxial layer in a horizontal hot-wall chemical vapor reactor using a transient multi-physical (thermal-fluid-chemical) simulation model and combined with a machine-learning model. An experiment was performed to validate the feasibility of the...
journal article 2024
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Zhang, Yi (author), Palha, A. (author), Gerritsma, M.I. (author), Yao, Qinghe (author)
In this work, we present a mass, energy, enstrophy and vorticity conserving (MEEVC) mixed finite element discretization for two-dimensional incompressible Navier-Stokes equations as an alternative to the original MEEVC scheme proposed in A. Palha and M. Gerritsma (2017) [5]. The present method can incorporate general boundary conditions....
journal article 2024
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Li, Xinqi (author), Zhang, Y. (author), Zhao, Y. (author), van Gemert, J.C. (author), Tao, Q. (author)
Quantitative cardiac magnetic resonance imaging (MRI) is an increasingly important diagnostic tool for cardiovascular diseases. Yet, co-registration of all baseline images within the quantitative MRI sequence is essential for the accuracy and precision of quantitative maps. However, co-registering all baseline images from a quantitative...
conference paper 2024
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Zhang, Zhenya (author), Mao, Jia (author), Wei, Houyu (author), Cheng, Chuanxiao (author), Liu, Zhengxuan (author)
Proton exchange membrane fuel cells offer promising clean energy solutions for various applications. However, their performance relies heavily on the properties of the microporous layer, which plays a crucial role in transporting and distributing the components in the fuel cell. To date, the potential for optimising the microporous layer...
journal article 2024
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Zhao, Y. (author), Zhang, Y. (author), Tao, Q. (author)
Deep learning-based methods have achieved prestigious performance for magnetic resonance imaging (MRI) reconstruction, enabling fast imaging for many clinical applications. Previous methods employ convolutional networks to learn the image prior as the regularization term. In quantitative MRI, the physical model of nuclear magnetic resonance...
conference paper 2024
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Zhou, Yimin (author), Gillavry, Merlijn Mac (author), Yang, Pengzhi (author), Xu, Zihao (author), Zhang, Baitian (author), Bidarra, Rafael (author)
As one of the most disruptive human-computer interaction techniques, Virtual Reality (VR) provides a novel way to examine human movements, e.g. when investigating Body Ownership (BO) in the field of cognitive sciences, especially when the visual output diverges from real-world actions. Previous research in BO uses questionnaires and brain...
conference paper 2024
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Cui, C. (author), Zhang, Xiaodong (author), Qi, Meng (author), Lyu, Hao (author), Sun, Jinsheng (author), Kiss, A.A. (author)
In industrial processes there are instances where heat pump assisted distillation falls short of full electrification, necessitating an auxiliary reboiler. To solve this limiting issue, this short communication proposes a new method using flash vapour circulation (FVC) to recuperate the waste heat within the heat pump cycle. This method...
journal article 2024
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Wang, Xinyue (author), Chen, Haixue (author), Yang, Zhoudong (author), Liu, Wenting (author), Zeng, Zejun (author), Zhang, Kouchi (author), Zhang, Jing (author), Fan, Jiajie (author), Liu, Pan (author)
With the increased deployment of power modules in demanding conditions, sintering materials, especially composite sintering materials, have raised growing interest due to their cost-effectiveness and suitability. Therefore, this study explores the viability of Cu–Ag composite sintering material, focusing on solvent influence through...
journal article 2024
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Hong, H. (author), Lei, Xin (author), Wei, Jiangtao (author), Zhang, Yang (author), Zhang, Yulong (author), Sun, Jianwen (author), Zhang, Kouchi (author), Sarro, Pasqualina M (author), Liu, Zewen (author)
Ionic FETs have enormous potential for energy conversion, sensing, and ionic circuits due to their efficient regulation of the nanochannel. Here ionic FETs based on single-crystal silicon nanopores and the rectification of the fabricated devices are studied. The electrical characterization results demonstrated that since the silicon-based...
journal article 2024
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Jiang, Xi (author), Zhang, X. (author), Zhang, Xiao (author), Long, Luyuan (author), Bai, Yun (author), Huang, Baoshan (author)
The development of modern cities has often led to increased traffic congestion and limited usable space. One effective solution to these problems is to construct roadway tunnels, which can expand urban space and alleviate traffic congestion. However, building large underpass tunnels in urban areas, especially in soft ground, presents...
journal article 2024
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