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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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Zhai, X. (author), Wang, Weiming (author), Chen, Falai (author), Wu, J. (author)
Recent years have seen a growing interest in topology optimization of functionally graded microstructures, characterized by an array of microstructures with varying volume fractions. However, microstructures optimized at slightly different volume fractions do not necessarily connect well when placed adjacently. Furthermore, optimization is...
journal article 2024
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Yang, Huiru (author), Huang, Qianming (author), Wang, S. (author), Zong, Qihang (author), Tan, C. (author), Ye, H. (author), Zhang, Kouchi (author)
Flexible strain sensors play a crucial role in health monitoring, smart wearable devices, and human–machine interaction. Three-dimensional surface evaluation methods for strain sensors offer advantages by being closer to actual strain, featuring a larger working range, and being more suitable for multidirectional strain. In this study, a...
journal article 2024
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Lin, H. (author), Wang, Mingqiang (author), Zhuang, Jincheng (author), Wang, Yang (author)
The Learning with Errors (LWE) problem is a versatile basis for building various purpose post-quantum schemes. Goldwasser et al. [ISC 2010] initialized the study of a variant of this problem called the Entropic LWE problem, where the LWE secret is generated from a distribution with a certain min-entropy. Brakerski and Döttling recently further...
journal article 2024
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Wang, Bin (author), Zio, Enrico (author), Chen, X. (author), Zhu, Hanhua (author), Guo, Yunhua (author), Fan, Shidong (author)
In the dredging industry, the automation and accuracy of the Dredging Perception System (DPS) are vital for operational efficiency and environmental safety. Current DPS implementations face challenges with sensor fault tolerance, leading to system unreliability and increased false alarm rates that can disrupt dredging operations. We propose a...
journal article 2024
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Ersoy, A. (author), Cavalcante Siebert, L. (author), Wang, T. (author), Chan, P.W.C. (author)
Artificial Intelligence (AI) has become one of the most dicussed topics of today and are being used to support solving complex problems. AI has given opportunities for efficiency, control, safety while raising issues around trust, optimism and responsibility. One of the prominent features of AI resides in the digitalization of the built...
book chapter 2024
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van Driel, D. (author), Roovers, B. (author), Zatelli, F. (author), Bordin, A. (author), Wang, Guanzhong (author), van Loo, N. (author), Wolff, J.C. (author), Mazur, G.P. (author), Kouwenhoven, Leo P. (author), Dvir, T. (author)
The proximity effect of superconductivity on confined states in semiconductors gives rise to various bound states such as Andreev bound states, Andreev molecules, and Majorana zero modes. While such bound states do not conserve charge, their fermion parity is a good quantum number. One way to measure parity is to convert it to charge first,...
journal article 2024
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Meng, Weihao (author), Kragt, A.J.J. (author), Hu, Xiaowen (author), van der Burgt, Julia S. (author), Schenning, Albertus P.H.J. (author), Yue, Yuchen (author), Zhou, Guofu (author), Li, Yong (author), Wang, Jingxia (author)
Photochromic smart windows have drawn increasing attention as an approach to improve building energy efficiency and enhance indoor daylight comfort. However, existing photochromic smart windows still block sunlight from entering the room on sunny winter days, causing additional energy consumption for heating. Herein, a dual-mode smart window...
journal article 2024
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Luo, Zhiyuan (author), Qiao, Li (author), Chen, Haomin (author), Mao, Zhili (author), Wu, Shujiao (author), Ma, Bianqin (author), Xie, Tian (author), Wang, Anming (author), Pei, Xiaolin (author), Sheldon, R.A. (author)
The design and orderly layered co-immobilization of multiple enzymes on resin particles remain challenging. In this study, the SpyTag/SpyCatcher binding pair was fused to the N-terminus of an alcohol dehydrogenase (ADH) and an aldo-keto reductase (AKR), respectively. A non-canonical amino acid (ncAA), p-azido-L-phenylalanine (p-AzF), as the...
journal article 2024
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Chen, Wei (author), Eckelman, Matthew J. (author), Sprecher, Benjamin (author), Chen, Wei (author), Wang, Peng (author)
Rare earth elements (REEs) are vital to the development of low-carbon technologies. There are rising concerns in the United States and elsewhere about REE supply chain stability and risks given the unvalidated perception in the heavy reliance of China, by far the largest REE supplier. However, the relationship between key countries at...
journal article 2024
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Kapoor, T. (author), Chandra, Abhishek (author), Tartakovsky, Daniel M. (author), Wang, H. (author), Nunez, Alfredo (author), Dollevoet, R.P.B.J. (author)
A primary challenge of physics-informed machine learning (PIML) is its generalization beyond the training domain, especially when dealing with complex physical problems represented by partial differential equations (PDEs). This paper aims to enhance the generalization capabilities of PIML, facilitating practical, real-world applications where...
journal article 2024
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Adwani, Dheeraj (author), Pipintakos, Georgios (author), Mirwald, Johannes (author), Wang, Yudi (author), Hajj, Ramez (author), Guo, Meng (author), Liang, Meichen (author), Jing, R. (author), Varveri, Aikaterini (author)
Oxidative aging induces significant stiffening of asphalt binders that leads to a pronounced reduction in the overall durability of asphalt pavements. The strategic implementation of antioxidant additives provides a potential solution to alleviate this issue. This work presents results from the second phase of the global consortium for...
journal article 2024
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Cao, Chengtai (author), Chen, Xinhong (author), Wang, J. (author), Song, Q. (author), Tan, Rui (author), Li, Yung Hui (author)
Autonomous driving systems rely on precise trajectory prediction for safe and efficient motion planning. Despite considerable efforts to enhance prediction accuracy, inherent uncertainties persist due to data noise and incomplete observations. Many strategies entail formalizing prediction outcomes into distributions and utilizing variance to...
journal article 2024
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Xu, Yanghui (author), Wang, Xintu (author), Ou, Q. (author), Zhou, Zhongbo (author), van der Hoek, J.P. (author), Liu, G. (author)
Increasing wildfire frequency, a consequence of global climate change, releases incomplete combustion byproducts such as aquatic pyrogenic dissolved organic matter (DOM) and black carbon (DBC) into waters, posing a threat to water security. In August 2022, a series of severe wildfires occurred in Chongqing, China. Samples from seven locations...
journal article 2024
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Lu, T. (author), Wang, Ruizhi (author), Tang, Z. (author), Zou, Yiwei (author), Yue, X. (author), Liang, Yansong (author), Gong, Haoran (author), Liu, Shurui (author), Chen, Zhiyuan (author), Liu, Xun (author), Du, S. (author)
This article presents a 10mV-startup-voltage thermoelectric energy harvesting system, assisted by a piezoelectric generator (PEG) as a cold starter. It exploits the fact that when a thermoelectric energy harvesting system is implemented in a place where kinetic energy is also present, the PEG starter can provide a clock signal to start the...
journal article 2024
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Yang, Chenyang (author), Sun, Jianwen (author), Zhang, Yulong (author), Tang, Jingya (author), Liu, Zizheng (author), Zhan, Teng (author), Wang, Dian-Bing (author), Zhang, Kouchi (author), Liu, Zewen (author), Zhang, Xian-En (author)
The COVID-19 pandemic has highlighted the need for rapid and sensitive detection of SARS-CoV-2. Here, we report an ultrasensitive SARS-CoV-2 immunosensor by integration of an AlGaN/GaN high-electron-mobility transistor (HEMT) and anti-SARS-CoV-2 spike protein antibody. The AlGaN/GaN HEMT immunosensor has demonstrated the capability to detect...
journal article 2024
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Chen, Xi (author), Gao, C. (author), Wang, Zuowen (author), Cheng, Longbiao (author), Zhou, Sheng (author), Liu, Shih Chii (author), Delbruck, Tobi (author)
Recurrent Neural Networks (RNNs) are useful in temporal sequence tasks. However, training RNNs involves dense matrix multiplications which require hardware that can support a large number of arithmetic operations and memory accesses. Implementing online training of RNNs on the edge calls for optimized algorithms for an efficient deployment on...
journal article 2024
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Hu, D. (author), Wang, Chieh (author), Li, Z. (author), Gupta, N. (author), Poelma, René H. (author), Shi, Ziliang (author), Fan, J. (author), Zhang, Kouchi (author)
Driven by the increasing demand for high-power systems, ceramic substrates have received more attention for handling higher power density. Warpage in active metal brazed (AMB) ceramic substrate becomes a critical issue as it can deteriorate the reliability performance. This study comprises three phases, including investigation of the cause of...
conference paper 2024
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Li, Shizhen (author), Liu, X. (author), Gao, Chenshan (author), Wang, S. (author), Li, Jun (author), Ye, Huaiyu (author), Zhang, Kouchi (author), Wu, Shaohui (author)
The significance of wafer bonding is fundamental to the progression of electronic systems. Common fabrication techniques for Cu pillars play a crucial role in establishing resilient and efficient interconnects within semiconductor devices. It is imperative to explore the potential of nano-copper as an alternative material to overcome limitations...
conference paper 2024
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Li, Wenyu (author), Chen, Wei (author), Jiang, Jing (author), Wang, Wenbo (author), Fan, Xuejun (author), Zhang, Kouchi (author), Fan, Jiajie (author)
Thermal management has always played a significant role in power module design. Double-sided heat dissipation is more efficient at transferring heat than the traditional package. Although there are several thermal modeling approaches to power modules, the application of the numerical models, which are computationally fast and accurate, has...
conference paper 2024
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