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Recent progress in MgB_(2)superconducting joint technology

Journal of Magnesium and Alloys 2023年第7期11卷 2217-2229页

作者： Hao Liang Dipak Patel Mahboobeh Shahbazi Andrzej Morawski Daniel Gajda Matt Rindfleisch Richard Taylor Yusuke Yamauchi Md Shahriar A.Hossain School of Mechanical and Mining Engineering The University of QueenslandSt LuciaQueensland 4072Australia QUT Centre for Materials Science and School of Chemistry and Physics Queensland University of TechnologyBrisbaneQueensland 4001Australia Institute of High Pressure Physics Polish Academy of Sciences(PAS)Sokolowska 29/37Warsaw 01-142Poland Institute of Low Temperature and Structure Research Polish Academy of Sciences(PAS)Okólna 2Wrocław 50-422Poland Hyper Tech Research Inc.539 Industrial Mile RdColumbusOhio 43228USA Applied Superconductivity Laboratory Queensland University of TechnologyBrisbaneQueensland 4001Australia Australian Institute for Bioengineering and Nanotechnology(AIBN) The University of QueenslandSt LuciaQueensland 4072Australia Department of Materials Process Engineering Graduate School of EngineeringNagoya UniversityFuro-choChikusa-kuNagoya 464-8603Japan The Commonwealth Scientific and Industrial Research Organisation(CSIRO) LindfieldNew South Wales 2070Australia

Magnesium diboride(MgB_(2))magnets have the potential to be the next-generation liquid-helium-free magnet for magnetic resonance imaging(MRI)application due to their relatively high superconducting transition temperature,high current density and low raw material cost compared with current commercial niobium-titanium(Nb-Ti)magnets.A typical superconducting magnet includes several *** produce an ultra-stable magnetic field for imaging in MRI,a superconducting electromagnet operating in a persistent mode is *** coils of the electromagnet in MRI are short-circuited to operate in the persistent mode by connecting coils with superconducting ***-sistent joints have been demonstrated for in-situ and ex-situ wires of both mono-and multi-filamentary structures,made predominantly by PIT techniques similar to those used in wire *** realise further engagement of MgB_(2)in MRI applications,enhancing the performance of MgB_(2)superconducting joints is *** literature review summarises research and development on MgB_(2)superconducting joining technology.

关键词： MgB_(2) Superconducting joints Persistent-mode magnets MRI application Field-decay measurement

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Device-Level Learning-Based Distributed Power Control for Uplink NOMA in IoT Networks

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IEEE Transactions on Cognitive Communications and Networking 2025年

作者： Raza, Muhammad Ahmad Abolhasan, Mehran Lipman, Justin Ni, Wei Faculty of Engineering and Information Technology Sydney Australia National University of Computer and Emerging Sciences School of Computing Lahore Pakistan Commonwealth Scientific and Industrial Research Organization Data61 Sydney Australia

Non-orthogonal multiple access (NOMA) addresses the massive connectivity issues in Internet of Things (IoT) networks operating under limited radio resources. This paper proposes a statistical learning-based novel power control mechanism for uplink data transmission in dense IoT networks where energy-constrained devices employ the power domain NOMA. The proposed mechanism has two stages and follows a distributed approach. The first stage uses an orthogonal multiple access (OMA) scheme, enabling devices to predict the number of active devices (network load) and device activation probability. In the second stage, devices utilize their network load prediction to determine the optimal number of transmission power levels for NOMA-based data transmission that meets the required latency-reliability constraint. Moreover, by using the probability of exception in network load prediction, devices are enabled to compute the optimal duration of the first phase. Results show that the average battery life in the proposed network load-aware adaptive NOMA scheme outperforms the conventional power-domain NOMA, where devices are unaware of the current network load and randomly select power levels. Moreover, when device activation probability is increased, the number of optimal power levels increases, consequently average battery life decreases. Furthermore, for the given number of installed devices, normalized mean square error (NMSE) in the device-level estimation of the current network load decreases as device activation probability increases. © 2015 IEEE.

关键词： Mean square error

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A Review of Metal Silicides for Lithium-Ion Battery Anode Application

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Acta Metallurgica Sinica(English Letters) 2021年第3期34卷 291-308页

作者： Bo Ding Zhenfei Cai Zishan Ahsan Yangzhou Ma Shihong Zhang Guangsheng Song Changzhou Yuan Weidong Yang Cuie Wen Key Laboratory of Green Fabrication and Surface Technology of Advanced Metal Materials Ministry of EducationSchool of Materials Science and EngineeringAnhui University of TechnologyMaanshan 243000China School of Materials Science and Engineering University of JinanJinan 250022China Future Manufacturing Flagship Commonwealth Science and Industries Research Organization(CSIRO)Melbourne.VIC 3168Australia School of Engineering RMIT University.MelbourneVIC 3001Australia Electronic Materials Research Laboratory Key Laboratory of the Ministry of EducationXi'an Jiaotong UniversityXi’an 710049China

Lithium batteries(LIBs) with low capacity graphite anode(~372 mAh g-1) cannot meet the ever-growing demand for new energy electric vehicles and renewable energy *** is essential to replace graphite anode with higher capacity anode materials for high-energy density ***(Si) is well known to be a possible alternative for graphite anode due to its highest capacity(~4200 mAh g-1).Unfortunately,large volume change during lithiation and delithiation has prevented the Si anode from being *** silicides are a promising type of anode materials which can improve cycling stability via the accommodation of volume change by dispersing Si in the metal inactive/active matrix,while maintain greater capacity than ***,we present a classification of Si alloying with metals in periodic table of elements,review the available literature on metal silicide anodes to outline the progress in improving and understanding the electrochemical performance of various metal silicides,analyze the challenges that remain in using metal silicides,and offer perspectives regarding their future research and development as anode materials for commercial LIBs application.

关键词： Li-ion battery Metal silicides Anode materials Electrochemical performance

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A Mixture Model Parameters Estimation Algorithm for Inter-Contact Times in Internet of Vehicles

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Computers, Materials & Continua 2021年第11期69卷 2445-2457页

作者： Cheng Gong Xinzhu Yang Wei Huangfu Qinghua Lu School of Computer and Communication Engineering University of Science and Technology BeijingBeijing100083China Beijing Advanced Innovation Center for Materials Genome Engineering School of Computer and Communication EngineeringUniversity of Science and Technology Beijing100083China Shunde Graduate School of University of Science and Technology Beijing Foshan City528300GuangdongChina Beijing Engineering and Technology Center for Convergence Networks and Ubiquitous Services University of Science and Technology BeijingBeijing100083China Commonwealth Scientific and Industrial Research Organization Canberra2600Australia

Communication opportunities among vehicles are important for data transmission over the Internet of Vehicles(IoV).Mixture models are appropriate to describe complex spatial-temporal *** calculating the expectation of hidden variables in vehicle communication,Expectation Maximization(EM)algorithm solves the maximum likelihood estimation of parameters,and then obtains the mixture model of vehicle communication ***,the EM algorithm requires multiple iterations and each iteration needs to process all the *** its computational complexity is high.A parameter estimation algorithm with low computational complexity based on Bin Count(BC)and Differential Evolution(DE)(PEBCDE)is *** overcomes the disadvantages of the EM algorithm in solving mixture models for big *** order to reduce the computational complexity of the mixture models in the IoV,massive data are divided into relatively few time intervals and then *** to these few counted values,the parameters of the mixture model are obtained by using DE *** modeling and analysis of simulation data and instance data,the PEBCDE algorithm is verified and discussed from two aspects,i.e.,accuracy and *** numerical solution of the probability distribution parameters is obtained,which further provides a more detailed statistical model for the distribution of the opportunity interval of the IoV.

关键词： Internet of vehicles opportunistic networks inter-contact times mixture model parameters estimation

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ChatGPT-guided Semantics for Zero-shot Learning

ChatGPT-guided Semantics for Zero-shot Learning

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2023 International Conference on Digital Image Computing: Techniques and Applications, DICTA 2023

作者： Shubho, Fahimul Hoque Chowdhury, Townim Faisal Cheraghian, Ali Saberi, Morteza Mohammed, Nabeel Rahman, Shafin North South University Dept. of Electrical and Computer Engineering Bangladesh University of Adelaide Australian Institute for Machine Learning Australia Data61 Commonwealth Scientific and Industrial Research Organisation Australia University of Technology Sydney School of Computer Science and Dsi Australia

ISBN: (纸本)9798350382204

Zero-shot learning (ZSL) aims to classify objects that are not observed or seen during training. It relies on class semantic description to transfer knowledge from the seen classes to the unseen classes. Existing methods of obtaining class semantics include manual attributes or automatic word vectors from language models (like word2vec). We know attribute annotation is costly, whereas automatic word vectors are relatively noisy. To address this problem, we explore how ChatGPT, a large language model, can enhance class semantics for ZSL tasks. ChatGPT can be a helpful source to obtain text descriptions for each class containing related attributes and semantics. We use the word2vec model to get a word vector using the texts from ChatGPT. Then, we enrich word vectors by combining the word embeddings from class names and descriptions generated by ChatGPT. More specifically, we leverage ChatGPT to provide extra supervision for the class description, eventually benefiting ZSL models. We evaluate our approach on various 2D image (CUB and AwA) and 3D point cloud (ModelNet10, ModelNet40, and ScanObjectNN) datasets and show that it improves ZSL performance. Our work contributes to the ZSL literature by applying ChatGPT for class semantics enhancement and proposing a novel word vector fusion method. © 2023 IEEE.

关键词： Zero-shot learning

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Managing prosumer exports in distribution networks through participatory export limits

Managing prosumer exports in distribution networks through p...

引用

CIRED 2024 Vienna Workshop

作者： Ashish Kumar Karmaker Sam Behrens Bjorn Sturmberg Hemanshu Pota School of Engineering and Technology University of New South Wales Canberra Australia Energy Center Commonwealth Scientific and Industrial Research Organization Newcastle Australia College of Engineering and Computer Science Australian National University Canberra Australia

ISBN: (数字)9781837241224

This paper proposes an innovative stakeholder-centric approach for managing prosumer exports in distribution networks ensuring stakeholder benefits. The rapid inclusion of photovoltaic (PV) systems leads to excessive exports, affecting the stability and performance of the distribution networks and fostering effective export management. In addition, the emergence of vehicle-to-grid (V2G) services presents challenges that may exacerbate export-related issues. Several distribution companies use fixed export limits for PV prosumers without looking at network performance. Current studies suggest dynamic limits to unlock export capabilities, providing variable export opportunities while neglecting diverse capabilities and nodal disparities of prosumers. By amalgamating dynamic export limits and prosumer priority indexing, this paper endeavours to derive individualized export limits in distribution networks. This research examined dynamic export capabilities on a real Australian suburban distribution feeder with 966 customers utilizing diverse capacities, nodal situations, and network uncertainties. The prosumer priority ranking is based on nodal constraints, time, and individual capabilities. The paper highlights participatory export limits, utilizing dynamic export limits and individual rankings, to offer enhanced export flexibility, benefiting stakeholders both distribution network operators and prosumers. These stakeholder-centric export limits provide a promising avenue for seamless PV and V2G integration toward a sustainable and resilient energy ecosystem.

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Single Vanadium Dioxide Nanoparticle-Enabled Plasmonic switch with Thermal and Electronic Reconfigurability 29

Single Vanadium Dioxide Nanoparticle-Enabled Plasmonic switc...

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29th Opto-Electronics and Communications Conference, OECC 2024

作者： Tanyi, Gregory Peace, Daniel Cheng, Han-Hao Ren, Guanghui Dinh, Xuan Hiep Taha, Mohammed Mitchell, Arnan Hoehn, Karsten Lim, Christina Unnithan, Ranjith The University of Melbourne Faculty of Engineering and Information Technology Department of Electrical and Electronic Engineering Parkville 3010 VIC Australia Mineral Resources Commonwealth Scientific Industry and Research Organiasation 1 Technology Court Pullenvale Australia The University of Queensland Australian Research Council Centre of Excellence for Engineered Quantum Systems School of Mathematics and Physics St Lucia 4067 QLD Australia The University of Queensland Centre for Microscopy and Microanalysis St Lucia 4067 Australia Rmit University Integrated Photonics and Applications Centre School of Engineering Melbourne VIC Australia

ISBN: (纸本)9798350308396

We present an integrated switch that combines plasmonic and neuromorphic technologies with a single sub-stoichiometric VO2-x nanoparticle. The presented device acts as a versatile plasmonic switch with dual thermal and electrical reconfigurability leveraging the near-room temperature phase transition of the VO2-x nanoparticles combined with the rapid phase recovery to drive the device. The change in both the optical and electrical properties of the VO2-x nanoparticle enables simultaneous optical and electrical readouts making the plasmonic device suitable as a phase change memory cell which is crucial in the convergence of computing and communication technologies. Our demonstration of reversible electrical switching, evidenced by a 6dB modulation depth and concurrent optical and electrical outputs, signifies a major stride in merging electronic and photonic functionalities within phase-change material devices. This novel strategy not only harmonizes optical communication with electronic computing but also advances the development of sophisticated integrated neuromorphic devices. © 2024 IEEE.

关键词： electro-optics neuromorphic computing phase-change materials silicon photonics

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Strain Mediated Voltage Control of Magnetic Anisotropy and Magnetization Reversal in Bismuth Substituted Yttrium Iron Garnet Films and Meso-structures

arXiv

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arXiv 2025年

作者： Al Misba, Walid Gross, Miela Josephine Hayashi, Kensuke Gopman, Daniel B. Ross, Caroline A. Atulasimha, Jayasimha Virginia Commonwealth University RichmondVA United States Massachusetts Institute of Technology CambridgeMA United States Department of Materials Science and Engineering Massachusetts Institute of Technology CambridgeMA United States Department of Materials Physics Graduate School of Engineering Nagoya University Nagoya Japan Materials Science & Engineering Division National Institute of Standards and Technology GaithersburgMD United States Department of Physics Virginia Commonwealth University RichmondVA United States

We report on magnetic anisotropy modulation in Bismuth substituted Yttrium Iron Garnet (Bi-YIG) thin films and mesoscale patterned structures deposited on a PMN-PT substrate with the application of voltage-induced strain. The Bi content is selected for low coercivity and higher magnetostriction than that of YIG, yielding significant changes in the hysteresis loops through the magnetoelastic effect. The piezoelectric substrate is poled along its thickness, which is the [011] direction, by applying a voltage across the PMN-PT/SiO2/Bi-YIG/Pt heterostructure. In-situ magneto-optical Kerr effect microscopy (MOKE) shows the modulation of magnetic anisotropy with voltage-induced strain. Furthermore, voltage control of the magnetic domain state of the Bi-YIG film at a fixed magnetic field produces a 90° switching of the magnetization easy axis above a threshold voltage. The magnetoelectric coefficient of the heterostructure is 1.05 × 10−7 s m-1 which is competitive with that of other ferromagnetic oxide films on ferroelectric substrates such as La0.67Sr0.33MnO3/PMNPT and YIG/PMN-PZT. Voltage-control of magnetization reversal fields in 5-30 µm wide dots and racetracks of Bi-YIG show potential for energy efficient non-volatile memory and neuromorphic computing devices. © 2025, CC BY-NC-ND.

关键词： Magnetization reversal

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Reconfigurable Intelligent Surface-Assisted Localization in OFDM Systems with Carrier Frequency Offset and Phase Noise

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IEEE Transactions on Wireless Communications 2025年

作者： Zhang, Hanfu Liu, Erwu Wang, Rui Ni, Wei Xing, Zhe Liu, Yan Jamalipour, Abbas Tongji University College of Electronic and Information Engineering Shanghai201804 China Tongji University Shanghai Institute of Intelligent Science and Technology Shanghai201804 China University of New South Wales School of Computer Science and Engineering KensingtonNSW2052 Australia Commonwealth Science and Industrial Research Organisation Data61 MarsfieldNSW2122 Australia North China University of Technology School of Information Science and Technology Beijing100144 China University of Sydney School of Electrical and Computer Engineering SydneyNSW2006 Australia

Reconfigurable intelligent surface (RIS)-assisted communication systems have been extensively studied for providing high-precision location services. However, most studies have overlooked the impact of carrier frequency offset (CFO) and phase noise (PN) resulting from hardware impairments on localization. This paper presents a novel, alternating optimization (AO)-based algorithm to jointly estimate the CFO, PN, and user equipment (UE) position in orthogonal frequency division multiplexing (OFDM) systems, where, provided the UE position, closed-form expressions for the CFO and PN are derived per iteration, significantly reducing the complexity and enhancing the stability of the algorithm. Another important aspect is a new RIS phase shift optimization algorithm developed to minimize the analytical lower bound of localization accuracy, hence benefiting localization. The semidefinite relaxation method and Schur complement are utilized to convexify this challenging non-convex optimization problem to a semidefinite program. Simulations demonstrate the effectiveness of the proposed algorithms, with the localization accuracy enhanced by two orders of magnitude. The localization accuracy of the proposed algorithm is close to the analytical lower bound, with a root mean square error of lower than 10−2 m. © 2002-2012 IEEE.

关键词： Mean square error

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In-Situ Synthesis of Mn2sio4 and Mnxsi Dual Phases Through Solid-State Reaction to Improve the Initial Coulombic Efficiency of Sio Anode for Lithium-Ion Batteries

SSRN

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SSRN 2024年

作者： Lei, Qian Wang, Shuai Wu, Qinyu Cao, Rui Cai, Zhenfei Moin, Muhmmad Ma, Yangzhou Song, Guangsheng Yang, Weidong Wen, Cuie Key Laboratory of Green Fabrication and Surface Technology of Advanced Metal Materials Ministry of Education School of Materials Science and Engineering Anhui University of Technology Maanshan243000 China Future Manufacturing Flagship Commonwealth Scientific and Industry Research Organization MelbourneVIC3168 Australia School of Engineering RMIT University MelbourneVIC3001 Australia

Silicon monoxide(SiO)-based anode materials have been extensively examined as high energy density for lithium-ion batteries, but still suffer from low initial Coulombic efficiency(ICE). Here, A novel SiO-MnO/Mn2SiO4-MnxSi anode material, prepared through scalable ball milling and heat treatment, is proposed for the first time, in which Mn2SiO4 and MnxSi alloy through solid-state reaction are embedded in the silicon oxide matrix to improve ICE. Half-cell testing shows that the ICE of pristine SiO increased from 52.5% to 70.5%, thanks to the solid-state reaction between SiO and MnO during the heat treatment, in which MnO consumed the SiO2 generated during the disproportionation of SiO, thereby reducing the first irreversible loss of Li+ during the lithiation process. In addition, the MnxSi alloy phase can improve lithium-ion diffusion ability to a certain extent. This report provides a new approach to alleviate the ICE performance of SiO-based anode materials. © 2024, The Authors. All rights reserved.

关键词： Manganese oxide

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