document

A Data-Driven Model for Power Loss Estimation of Magnetic Materials Based on Multi-Objective Optimization and Transfer Learning

Li, Z. (author), Wang, L. (author), Liu, R. (author), Mirzadarani, R. (author), Luo, T. (author), Lyu, D. (author), Ghaffarian Niasar, M. (author), Qin, Z. (author)

Traditional methods such as Steinmetz's equation (SE) and its improved variant (iGSE) have demonstrated limited precision in estimating power loss for magnetic materials. The introduction of Neural Network technology for assessing magnetic component power loss has significantly enhanced accuracy. Yet, an efficient method to incorporate detailed...

journal article 2024

document

Critical turbidity thresholds for maintenance of estuarine tidal flats worldwide

Grandjean, Tim J. (author), Weenink, Roland (author), van der Wal, Daphne (author), Addink, Elisabeth A. (author), Hu, Zhan (author), Liu, Shuai (author), Wang, Zhengbing (author), Lin, Yuan (author), Bouma, Tjeerd J. (author)

Tidal flats are shrinking in extent globally. The dynamics of the response of estuarine tidal flats to global environmental changes remain unclear. Tidal-flat morphology is shaped by the interplay among wave and tidal forces, river discharge and sediment supply, and preservation of tidal flats requires a balance between erosional and...

journal article 2024

document

Approaching nearly zero energy of PV direct air conditioners by integrating building design, load flexibility and PCM

Li, Sihui (author), Peng, Jinqing (author), Wang, Meng (author), Wang, Kai (author), Li, Houpei (author), Lu, C.J. (author)

The energy matching of PV driven air conditioners is influenced by building load demand and PV generation. Merely increasing energy performance of building or PV capacity separately may improve the energy balance on a large time resolution, the real-time energy mismatching problem is still serious. In this study, a coordinated optimization...

journal article 2024

document

A Federated Digital Twin Framework for UAVs-Based Mobile Scenarios

Zhou, Longyu (author), Leng, Supeng (author), Wang, Q. (author)

With the development of communication networks and Artificial Intelligence (AI) technologies, Digital Twin (DT) now emerges to support various applications such as engineering, monitoring, controlling, healthcare and the optimization of cyber-physical systems. There is an increasing demand to create DTs that can represent physical entities...

journal article 2024

document

Precision Engineering of the Co-immobilization of Enzymes for Cascade Biocatalysis

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

document

Vertical dynamic measurements of a railway transition zone: a case study in Sweden

Unsiwilai, S. (author), Shen, C. (author), Zeng, Y. (author), Wang, L. (author), Nunez, Alfredo (author), Li, Z. (author)

This study presents a measuring framework for railway transition zones using a case study on the Swedish line between Boden and Murjek. The final goal is to better understand the vertical dynamics of transition zones using hammer tests, falling weight measurements, and axle box acceleration (ABA) measurements. Frequency response functions ...

journal article 2024

document

A study of spatial cognition in the rural heritage based on VR 3D eye-tracking experiments

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

document

Mechanical Framework for Geopolymer Gels Construction: An Optimized LSTM Technique to Predict Compressive Strength of Fly Ash-Based Geopolymer Gels Concrete

Shi, Xuyang (author), Chen, Shuzhao (author), Wang, Qiang (author), Lu, Yijun (author), Ren, S. (author), Huang, Jiandong (author)

As an environmentally responsible alternative to conventional concrete, geopolymer concrete recycles previously used resources to prepare the cementitious component of the product. The challenging issue with employing geopolymer concrete in the building business is the absence of a standard mix design. According to the chemical composition of...

journal article 2024

document

Towards a Reliable Design of Geopolymer Concrete for Green Landscapes: A Comparative Study of Tree-Based and Regression-Based Models

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

document

Exciton Transport in a Germanium Quantum Dot Ladder

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

document

Size effect on compressive strength of foamed concrete: Experimental and numerical studies

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

document

Chemical short-range disorder in lithium oxide cathodes

Wang, Q. (author), Yao, Zhenpeng (author), Wang, Jianlin (author), Guo, Hao (author), Li, Chao (author), Zhou, Dong (author), Bai, Xuedong (author), Li, Hong (author), Li, Baohua (author), Wagemaker, M. (author), Zhao, C. (author)

Ordered layered structures serve as essential components in lithium (Li)-ion cathodes^1–3. However, on charging, the inherently delicate Li-deficient frameworks become vulnerable to lattice strain and structural and/or chemo-mechanical degradation, resulting in rapid capacity deterioration and thus short battery life^2,4....

journal article 2024

document

ElasticDNN: On-Device Neural Network Remodeling for Adapting Evolving Vision Domains at Edge

Zhang, Qinglong (author), Han, Rui (author), Liu, Chi Harold (author), Wang, Guoren (author), Chen, Lydia Y. (author)

Executing deep neural networks (DNN) based vision tasks on edge devices encounters challenging scenarios of significant and continually evolving data domains (e.g. background or subpopulation shift). With limited resources, the state-of-the-art domain adaptation (DA) methods either cause high training overheads on large DNN models, or incur...

journal article 2024

document

Uneven primary healthcare supply of rural doctors and medical equipment in remote China: community impact and the moderating effect of policy intervention

Shan, Lu (author), Gan, Y.Y. (author), Yan, Xiang (author), Wang, Shuping (author), Yin, Yue (author), Wu, Xiaofan (author)

Background: Unequal access to primary healthcare (PHC) has become a critical issue in global health inequalities, requiring governments to implement policies tailored to communities’ needs and abilities. However, the place-based facility dimension of PHCs is oversimplified in current healthcare literature, and formulating the equity-oriented...

journal article 2024

document

Creation of memory–memory entanglement in a metropolitan quantum network

Liu, Jian-Long (author), Luo, Xi-Yu (author), Yu, Y. (author), Wang, Chao-Yang (author), Wang, Bin (author), Hu, Yi (author), Li, Jun (author), Bao, Xiao-Hui (author), Pan, Jian-Wei (author)

Towards realizing the future quantum internet, a pivotal milestone entails the transition from two-node proof-of-principle experiments conducted in laboratories to comprehensive multi-node set-ups on large scales. Here we report the creation of memory–memory entanglement in a multi-node quantum network over a metropolitan area. We use three...

journal article 2024

document

ShuffleFL: Addressing Heterogeneity in Multi-Device Federated Learning

Zhu, R. (author), Yang, M. (author), Wang, Q. (author)

Federated Learning (FL) has emerged as a privacy-preserving paradigm for collaborative deep learning model training across distributed data silos. Despite its importance, FL faces challenges such as high latency and less effective global models. In this paper, we propose ShuffleFL, an innovative framework stemming from the hierarchical FL, which...

journal article 2024

document

FedViT: Federated continual learning of vision transformer at edge

Zuo, Xiaojiang (author), Luopan, Yaxin (author), Han, Rui (author), Zhang, Qinglong (author), Liu, Chi Harold (author), Wang, Guoren (author), Chen, Lydia Y. (author)

Deep Neural Networks (DNNs) have been ubiquitously adopted in internet of things and are becoming an integral part of our daily life. When tackling the evolving learning tasks in real world, such as classifying different types of objects, DNNs face the challenge to continually retrain themselves according to the tasks on different edge...

journal article 2024

document

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

document

A method to quantify the beneficial effect of scour protection on lateral behaviour of monopiles for offshore wind turbines

Li, Q. (author), Prendergast, L. J. (author), Gavin, Kenneth (author), Askarinejad, A. (author), Wang, X. Q. (author)

To mitigate against scour hole formation, scour protection can be placed around offshore wind turbine monopiles. Few studies have considered the beneficial effect of this geotechnical reinforcement measure on the foundation lateral resistance. The contribution of scour protection to lateral resistance of monopiles in sand is investigated in...

journal article 2024

document

Interactive Behavior Modeling for Vulnerable Road Users With Risk-Taking Styles in Urban Scenarios: A Heterogeneous Graph Learning Approach

Li, Zirui (author), Gong, Jianwei (author), Zhang, Zheyu (author), Lu, Chao (author), Knoop, V.L. (author), Wang, M. (author)

The deep understanding of the behaviors of traffic participants is essential to guarantee the safety of automated vehicles (AV) in mixed traffic with vulnerable road users (VRUs). Precise trajectory prediction of traffic participants can provide reasonable solution space for motion planning of AV. Early works mainly focused on handcrafting...

journal article 2024