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A conceptual design of two-stream alkali-activated materials

Sun, Yubo (author), Mohan, Manu K. (author), Tao, Yaxin (author), Zhang, Yi (author), Van Tittelboom, Kim (author), Ye, G. (author), De Schutter, Geert (author)

To properly control the reaction kinetics and fresh properties evolution in conventional alkali-activated materials (AAMs), a conceptual design of two-stream AAMs has been proposed in this study. This is achieved by dividing the solid and liquid components in AAMs, including blast furnace slag (BFS) and electric arc furnace slag (EFS)...

journal article 2024

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A 72-Channel Resistive-and-Capacitive Sensor-Interface Chip With Noise-Orthogonalizing and Pad-Sharing Techniques

Feng, Xiangdong (author), Luo, Yuxuan (author), Cai, Tianyi (author), Xuan, Yangfan (author), Zhang, Yunshan (author), Shen, Yili (author), Yang, Changgui (author), Xiao, Qijing (author), Du, S. (author), Zhao, Bo (author)

The growing trend of the Internet of Things (IoT) involves trillions of sensors in various applications. An extensive array of parameters need to be gathered concurrently with high-precision, low-cost, and low-power sensor nodes, such as resistive (R) and capacitive (C) sensors. Single-chip channel fusion can be an effective solution, while...

journal article 2024

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Optimizing safety barrier allocation to prevent domino effects in large-scale chemical clusters using graph theory and optimization algorithms

Zhang, Muchen (author), Li, Zelin (author), Hou, Shuya (author), Deng, Siyu (author), Reniers, G.L.L.M.E. (author), Yang, M. (author), Zhang, Bin (author)

Domino effects are high-impact low-probability events that can have catastrophic consequences. To prevent and to reduce risks related to such events, safety barriers (SBs) are crucial. However, the initiation, propagation, and stopping processes of domino effects are characterized with complexity and uncertainties and hence they are...

journal article 2024

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Multi-mode industrial soft sensor method based on mixture Laplace variational auto-encoder

Zhang, Tianming (author), Yan, Gaowei (author), Li, Rong (author), Xiao, Shuyi (author), Pang, Y. (author)

The industrially collected process data usually exhibit non-Gaussian and multi-mode characteristics. Due to sensor failures, irregular disturbances, and transmission problems, there are unavoidable outliers that make the data exhibit heavy-tailed characteristics. To this end, a variational auto-encoder regression method based on the mixture...

journal article 2024

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From Short Circuit to Completed Circuit: Conductive Hydrogel Facilitating Oral Wound Healing

Zhou, Qiangqiang (author), Dai, Hanqing (author), Yan, Yukun (author), Qin, Zhiming (author), Zhou, Mengqi (author), Zhang, Wanlu (author), Zhang, Kouchi (author), Guo, Ruiqian (author), Wei, X. (author)

The primary challenges posed by oral mucosal diseases are their high incidence and the difficulty in managing symptoms. Inspired by the ability of bioelectricity to activate cells, accelerate metabolism, and enhance immunity, a conductive polyacrylamide/sodium alginate crosslinked hydrogel composite containing reduced graphene oxide (PAA-SA...

journal article 2024

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Predicting nodal influence via local iterative metrics

Zhang, S. (author), Hanjalic, A. (author), Wang, H. (author)

Nodal spreading influence is the capability of a node to activate the rest of the network when it is the seed of spreading. Combining nodal properties (centrality metrics) derived from local and global topological information respectively has been shown to better predict nodal influence than using a single metric. In this work, we investigate...

journal article 2024

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Microscopic fracture toughness of notched porous sintered Cu micro-cantilevers for power electronics packaging

Hu, D. (author), Du, L. (author), Alfreider, Markus (author), Fan, J. (author), Kiener, Daniel (author), Zhang, Kouchi (author)

To fulfill the high-temperature application requirement of high-power electronics packaging, Cu nanoparticle sintering technology, with benefits in low-temperature processing and high-melting point, has attracted considerable attention as a promising candidate for the die-attach interconnect. Comprehensive mechanical characterization of the...

journal article 2024

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Near-infrared light-driven asymmetric photolytic reduction of ketone using inorganic-enzyme hybrid biocatalyst

Qiao, Li (author), Zhang, Jing (author), Jiang, Yongjian (author), Ma, Bianqin (author), Chen, Haomin (author), Gao, Peng (author), Zhang, Pengfei (author), Wang, Anming (author), Sheldon, R.A. (author)

Effective photolytic regeneration of the NAD(P)H cofactor in enzymatic reductions is an important and elusive goal in biocatalysis. It can, in principle, be achieved using a near-infrared light (NIR) driven artificial photosynthesis system employing H₂O as the sacrificial reductant. To this end we utilized TiO₂/reduced...

journal article 2024

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Naturally effective inhibition of microbial corrosion on carbon steel by beneficial biofilm in the South China Sea

Gao, Yu (author), Zhang, Jingru (author), Wang, Donglei (author), Fan, Jiaxin (author), Mol, J.M.C. (author), Wang, Fuhui (author), Zhang, Danni (author), Xu, Dake (author)

Microbially influenced corrosion (MIC) of metals exerts a negative effect on the marine environment and causes a great loss of marine facilities. Corrosion prevention in an eco-friendly and sustainable way is a difficult problem to address, especially in the marine environment. In this work, Nocardiopsis dassonville, a corrosive bacteria...

journal article 2024

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Characterization, pre-treatment, and potential applications of fine MSWI bottom ash as a supplementary cementitious material

Sun, Y. (author), Chen, B. (author), Zhang, Shizhe (author), Blom, C.B.M. (author), Lukovic, M. (author), Ye, G. (author)

With the development of waste recovery techniques, previous research has revealed that coarse fractions of municipal solid waste incineration (MSWI) bottom ash (BA) after proper treatment could be applied in the construction sector, while the fines are seldom recovered in practice and normally landfilled. This study explores the potential...

journal article 2024

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A multi-step fast charging-based battery capacity estimation framework of real-world electric vehicles

Zhang, D. (author), Wang, Zhenpo (author), Liu, Peng (author), She, Chengqi (author), Wang, Qiushi (author), Zhou, Litao (author), Qin, Z. (author)

Accurately evaluating battery degradation is not only crucial for ensuring the safe and reliable operation of electric vehicles (EVs) but also fundamental for their intelligent management and maximum utilization. However, the non-linearity, non-measurability, and multi-stress coupled operating conditions have posed significant challenges for...

journal article 2024

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Identification of Atrial Transmural Conduction Inhomogeneity Using Unipolar Electrogram Morphology

Zhang, Lu (author), van Schie, M.S. (author), Xiang, Hongxian (author), Liao, Rongheng (author), Zheng, Jiahao (author), Knops, Paul (author), Taverne, Yannick J.H.J. (author), de Groot, N.M.S. (author)

(1) Background: Structural remodeling plays an important role in the pathophysiology of atrial fibrillation (AF). It is likely that structural remodeling occurs transmurally, giving rise to electrical endo-epicardial asynchrony (EEA). Recent studies have suggested that areas of EEA may be suitable targets for ablation therapy of AF. We...

journal article 2024

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Effect of temperature on dislocation-tuned dielectricity and piezoelectricity in single-crystal BaTiO₃

Dietrich, Felix (author), Ni, Fan (author), Fulanović, Lovro (author), Zhou, Xiandong (author), Isaia, Daniel (author), Braga Groszewicz, P. (author), Zhang, Chunlin (author), Xu, Bai Xiang (author), Rödel, Jürgen (author)

The pinning-controlled mobility of ferroelectric/ferroelastic domain walls is an important part of managing polarization switching and determining the final properties of ferroelectric and piezoelectric materials. Here, we assess the impact of temperature on dislocation-induced domain wall pinning as well as on dislocation-tuned dielectric...

journal article 2024

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Training and Testing Texture Similarity Metrics for Structurally Lossless Compression

Zhang, Kaixuan (author), Shi, Zhaochen (author), Zujovic, Jana (author), de Ridder, H. (author), van Egmond, R. (author), Neuhoff, David L. (author), Pappas, T. (author)

We present a systematic approach for training and testing structural texture similarity metrics (STSIMs) so that they can be used to exploit texture redundancy for structurally lossless image compression. The training and testing is based on a set of image distortions that reflect the characteristics of the perturbations present in natural...

journal article 2024

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Real-time reconstruction of unsteady rotating forces acting by rotor blades in moving medium

Xu, Ying (author), Casalino, D. (author), Zhang, Xiao Zheng (author), Zhang, Yong Bin (author), Bi, Chuan Xing (author)

A time-domain inverse aeroacoustic method based on the convective Ffowcs Williams–Hawkings equation is presented. The method allows to determine, in real-time, the unsteady forces exerted on rotating blades in the presence of a moving medium. The inversion procedure is based on a space-time regularization with a mixed l1,2-norm, which guarantees...

journal article 2024

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Interference Mitigation for Automotive FMCW Radar Based on Contrastive Learning With Dilated Convolution

Wang, J. (author), Li, Runlong (author), Zhang, Xinqi (author), He, Yuan (author)

As one of the crucial sensors for environment sensing, frequency modulated continuous wave (FMCW) radars are widely used in modern vehicles for driving assistance/autonomous driving. However, the limited frequency bandwidth and the increasing number of equipped radar sensors would inevitably cause mutual interference, degrading target...

journal article 2024

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Relaxometry Guided Quantitative Cardiac Magnetic Resonance Image Reconstruction

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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Contrast-Agnostic Groupwise Registration by Robust PCA for Quantitative Cardiac MRI

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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Plastic particles affect N₂O release via altering core microbial metabolisms in constructed wetlands

Yang, X. (author), Chen, Yi (author), Liu, Tao (author), Zhang, Lu (author), Wang, Hui (author), Chen, Mengli (author), He, Qiang (author), Liu, G. (author), Ju, Feng (author)

Constructed wetlands (CWs) have been proven to effectively immobilize plastic particles. However, little is known about the differences in the impact of varying sized plastic particles on nitrous oxide (N₂O) release, as well as the intervention mechanisms in CWs. Here, we built a lab-scale wetland model and introduced plastic...

journal article 2024

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A finite element thermomechanical analysis of the development of wheel polygonal wear

He, C. (author), Yang, Z. (author), Zhang, P. (author), Li, S. (author), Naeimi, M. (author), Dollevoet, R.P.B.J. (author), Li, Z. (author)

Polygonal wear is a type of damage commonly observed on the railway wheel tread. It induces wheel-rail impacts and consequent train/track components failure. This study presents a finite element (FE) thermomechanical wheel-rail contact model, which is able to cope with the three possible generation and development mechanisms of polygonal wear...

journal article 2024