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A CMOS-Compatible Hybrid Plasmonic Slot Waveguide With Enhanced Field Confinement

Xiao, Jing (author), Wei, Qi-Qin (author), Yang, Daoguo (author), Zhang, Ping (author), He, Ning (author), Zhang, Kouchi (author), Ren, Tian-Ling (author), Chen, Xian-Ping (author)

The emerging field of nanophotonics requires plasmonic devices to be fully compatible with semiconductor fabrication techniques. However, very few feasible practical structures exist at present. Here, we propose a CMOS-compatible hybrid plasmonic slot waveguide (HPSW) with enhanced field confinement. Our simulation results show that the HPSW...

journal article 2016

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Mapping Atlas of Shenzhen - Urban Villages

van Oostrum, Matthijs (author), Liu, Jiayao (author), Li, Yishiqin (author), Hoek, Ruben (author), Yang, Yidong (author), He, Zhujun (author), Buysschaert, Axel (author), Xiao, Yazhi (author), Peng, Jiping (author), van Eijk, Saskia (author), Yang, Qiao (author)

This publication is in response to the call of 2017 Bi-City Biennale of Urbanism\Architecture (Shenzhen) (UABB) “Cities, Grow in Difference”, from the perspective of urbanism: the synthesis of factors that collectively determine the spatial use of the city. <br/>This atlas is based on master graduation theses of Delft University of Technology ...

book 2017

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Hybrid Plasmonics Slot THz Waveguide for Subwavelength Field Confinement and Crosstalk between Two Waveguides

Xiao, Jing (author), Wei, Qi-Qin (author), Yang, Duo Guo (author), Zhang, Ping (author), He, Ning (author), Zhang, Kouchi (author), Chen, Xian Ping (author)

The slot waveguide has attracted considerable attention because of its ability to confine and guide electromagnetic energy at the subwavelength scale beyond the diffraction limit. We propose a novel terahertz slot waveguide structure to achieve a better tradeoff between propagation length and field confinement capacity, the novel waveguide...

journal article 2017

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High-Density Microporous Li₄Ti₅O₁₂ Microbars with Superior Rate Performance for Lithium-Ion Batteries

Tang, Linkai (author), He, Yan Bing (author), Wang, Chao (author), Wang, Shuan (author), Wagemaker, M. (author), Li, Baohua (author), Yang, Quan Hong (author), Kang, Feiyu (author)

Nanosized Li₄Ti₅O₁₂ (LTO) materials enabling high rate performance suffer from a large specific surface area and low tap density lowering the cycle life and practical energy density. Microsized LTO materials have high density which generally compromises their rate capability. Aiming at combining the favorable...

journal article 2017

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Abundant grain boundaries activate highly efficient lithium ion transportation in high rate Li₄Ti₅O₁₂ compact microspheres

Ma, Jiaming (author), Wei, Yinping (author), Gan, Lin (author), Wang, C. (author), Xia, Heyi (author), Lv, Wei (author), Li, Jia (author), Li, Baohua (author), Yang, Quan Hong (author), Kang, Feiyu (author), He, Yan Bing (author)

It is a huge challenge for high-tap-density electrodes to achieve high volumetric energy density but without compromising the ionic transportation. Herein, we prepared compact Li₄Ti₅O₁₂ (LTO) microspheres consisting of densely packed primary nanoparticles. The real space distribution of lithium ions inside the...

journal article 2019

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Human Motion Recognition With Limited Radar Micro-Doppler Signatures

Li, X. (author), He, Y. (author), Fioranelli, F. (author), Jing, X. (author), Yarovoy, Alexander (author), Yang, Y. (author)

The performance of deep learning (DL) algorithms for radar-based human motion recognition (HMR) is hindered by the diversity and volume of the available training data. In this article, to tackle the issue of insufficient training data for HMR, we propose an instance-based transfer learning (ITL) method with limited radar micro-Doppler (MD)...

journal article 2020

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A sequence-based method for dynamic reliability assessment of MPD systems

Zhu, Jingyu (author), Chen, Guoming (author), Khan, Faisal (author), Yang, M. (author), Li, Xinhong (author), Meng, Xiangkun (author), He, Rui (author)

Managed Pressure Drilling (MPD) system is widely used in the deepwater drilling operation. Reliability assessment plays a critical role in the MPD system in the management of drilling operation risk and the prevention of blowouts. However, the reliability assessment of the MPD system is challenged due to its sequential operations and multiple...

journal article 2021

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A-DDPG: Attention Mechanism-based Deep Reinforcement Learning for NFV

He, Nan (author), Yang, S. (author), Li, Fan (author), Trajanovski, S. (author), Kuipers, F.A. (author), Fu, Xiaoming (author)

The efficacy of Network Function Virtualization (NFV) depends critically on (1) where the virtual network functions (VNFs) are placed and (2) how the traffic is routed. Unfortunately, these aspects are not easily optimized, especially under time-varying network states with different quality of service (QoS) requirements. Given the importance of...

conference paper 2021

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Soft Tissue Thickness Estimation for Head, Face, and Neck from CT Data for Product Design Purposes

Yang, W. (author), He, Renke (author), Chen, Tingshu (author), Goossens, R.H.M. (author), Huysmans, T. (author)

Analysing the contact area between head-related products and the corresponding craniofacial profile is necessary to make such products more comfortable. The study of soft tissue biomechanical experiments provides a reliable perspective for understanding such contact areas and improving the comfort. In order to obtain more accurate and visualized...

journal article 2022

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It Is Like Finding a Polar Bear in the Savannah! Concept-level AI Explanations with Analogical Inference from Commonsense Knowledge

He, G. (author), Balayn, A.M.A. (author), Buijsman, S.N.R. (author), Yang, J. (author), Gadiraju, Ujwal (author)

With recent advances in explainable artificial intelligence (XAI), researchers have started to pay attention to concept-level explanations, which explain model predictions with a high level of abstraction. However, such explanations may be difficult to digest for laypeople due to the potential knowledge gap and the concomitant cognitive load....

conference paper 2022

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One-step controllable fabrication of 3D structured self-standing Al₃Ni₂/Ni electrode through molten salt electrolysis for efficient water splitting

Hua, Zhongsheng (author), Wu, Xiaobin (author), Zhu, Zengli (author), He, Jiwen (author), He, Shiwei (author), Liu, Huan (author), Xu, Liang (author), Yang, Y. (author), Zhao, Zhuo (author)

Exploring more efficient and low-cost electrocatalysts to replace platinum (Pt) is highly desired to promote the practical hydrogen production through water splitting. Herein, a facile and effective strategy is proposed to fabricate self-standing Al₃Ni₂/Ni electrode with controlled phase composition and surface...

journal article 2022

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Molecular Dynamics Simulation of Sintering Densification of Multi-Scale Silver Layer

Liang, Peijie (author), Pan, Zhiliang (author), Tang, Liang (author), Zhang, Kouchi (author), Yang, Daoguo (author), He, Siliang (author), Yan, Haidong (author)

Based on molecular dynamics (MD), in this study, a model was established to simulate the initial coating morphology of silver paste by using a random algorithm, and the effects of different sizes of particles on sintering porosity were also analyzed. The MD result reveals that compared with the sintering process using large-scale silver...

journal article 2022

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Ready Player One!: Eliciting Diverse Knowledge Using A Configurable Game

Balayn, A.M.A. (author), He, G. (author), Hu, Andrea (author), Yang, J. (author), Gadiraju, Ujwal (author)

Access to commonsense knowledge is receiving renewed interest for developing neuro-symbolic AI systems, or debugging deep learning models. Little is currently understood about the types of knowledge that can be gathered using existing knowledge elicitation methods. Moreover, these methods fall short of meeting the evolving requirements of...

conference paper 2022

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Prior-Guided Deep Interference Mitigation for FMCW Radars

Wang, J. (author), Li, Runlong (author), He, Yuan (author), Yang, Yang (author)

In this article, the interference mitigation (IM) problem is tackled as a regression problem. A prior-guided deep learning (DL)-based IM approach is proposed for frequency-modulated continuous-wave (FMCW) radars. Considering the complex-valued nature of radar signals, a complex-valued convolutional neural network, which is different from the...

journal article 2022

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A Finite Element Thermomechanical Analysis of Polygonal Wear

He, C. (author), Yang, Z. (author), Zhang, P. (author), Li, S. (author), Naeimi, M. (author), Li, Z. (author)

Polygonal wear is a common type of damage on the railway wheel tread, which could induce wheel-rail impacts and further components failure. This study presents a finite element (FE) thermomechanical model to investigate the causes of wheel polygonal wear. The FE model is able to cope with three possible causes of polygonal wear: thermal...

conference paper 2022

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Failure quantitative assessment approach to MOSFET power device by detecting parasitic parameters

Yun, Minghui (author), Yang, Daoguo (author), He, Siliang (author), Cai, Miao (author), Xiao, Jing (author), Zhang, Kailin (author), Zhang, Kouchi (author)

With the emerging wide bandgap (WBG) semiconductor development, the increasing power density and efficiency of power electronic converters may cause more switching oscillation, electromagnetic interference noise, and additional power loss, further increasing the probability of device failure. Therefore, determining and quantifying the failure...

journal article 2022

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Adaptive Decision Making at the Intersection for Autonomous Vehicles Based on Skill Discovery

He, Xianqi (author), Yang, Lin (author), Lu, Chao (author), Gong, Jianwei (author), Li, Z. (author)

In urban environments, the complex and uncertain intersection scenarios are challenging for autonomous driving. To ensure safety, it is crucial to develop an adaptive decision making system that can handle the interaction with other vehicles. Manually designed model-based methods are reliable in common scenarios. But in uncertain environments,...

conference paper 2022

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Pressure sensitivity for head, face and neck in relation to soft tissue

Yang, W. (author), He, Renke (author), Goossens, R.H.M. (author), Huysmans, T. (author)

Pressure sensitivity research on the head, face, and neck is critical to develop ways to reduce discomfort caused by pressure in head-related products. The aim of this paper is to provide information for designers to be able to reduce the pressure discomfort by studying the relation between pressure sensitivity and soft tissue in the head,...

journal article 2023

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The contribution shift of ammonia-oxidizing archaea and bacteria to ammoxidation under Ag-NPs/SWCNTs/PS-NPs stressors in constructed wetlands

Yang, X. (author), Guo, Fucheng (author), Liu, Tao (author), He, Qiang (author), Vymazal, Jan (author), Chen, Yi (author)

Ammonia-oxidizing microorganisms (AOMs, archaea (AOA) and bacteria (AOB)) are primarily responsible for the ammoxidation in constructed wetlands (CWs). However, little is known about evaluating the response of AOA and AOB to engineered nanomaterials (ENMs) and quantifying the shift of their contribution to ammoxidation. Herein, we operated a...

journal article 2023

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Distribution of porosity surrounding a microfiber in cement paste

He, S. (author), Chen, Y. (author), Liang, M. (author), Yang, En-Hua (author), Schlangen, E. (author)

This study investigates the microstructural changes of cement paste due to the inclusion of polymeric microfiber at different water-to-cement (w/c) ratios. A procedure to quantify the porosity of epoxy impregnated interfacial transition zone (ITZ) is also presented. Results show that the microstructures of the ITZ beneath and above a...

journal article 2023