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arXiv 2022年

作者： Ning, Jing Zhou, Xilin Wang, Yunzheng Yagi, Takashi Kalikka, Janne Teo, Siew Lang Song, Zhitang Bosman, Michel Simpson, Robert E. Singapore University of Technology and Design 8 Somapah Road 487372 Singapore Department of Materials Science and Engineering National University of Singapore 9 Engineering Drive 1 117575 Singapore State Key Laboratory of Functional Materials for Informatics Shanghai Institute of Microsystem and Information Technology Chinese Academy of Sciences 865 Changning Road Shanghai200050 China National Metrology Institute of Japan National Institute of Advanced Industrial Science and Technology Tsukuba Central 3 1-1-1 Umezono Tsukuba Ibaraki305-8563 Japan Computational Physics Laboratory Tampere University TampereFI-33014 Finland 2 Fusionopolis Way 138634 Singapore

Phase change memory devices are typically reset by melt-quenching a material to radically lower its electrical conductance. The high power and concomitantly high current density required to reset phase change materials is the major issue that limits the access times of 3D phase change memory architectures. Phase change superlattices were developed to lower the reset energy by confining the phase transition to the interface between two different phase change materials. However, the high thermal conductivity of the superlattices means that heat is poorly confined within the phase change material, and most of the thermal energy is wasted to the surrounding materials. Here, we identified Ti as a useful dopant for substantially lowering the thermal conductivity of Sb2Te3 – GeTe superlattices whilst also stabilising the layered structure from unwanted disordering. We demonstrate via laser heating that lowering the thermal conductivity by doping the Sb2Te3 layers with Ti halves the switching energy compared to superlattices that only use interfacial phase change transitions and strain engineering. The thermally optimized superlattice has (0 0 l) crystallographic orientation yet a thermal conductivity of just 0.25 W·m−1·K−1 in the"on" (set) state. Prototype phase change memory devices that incorporate this Ti-doped superlattice switch faster and and at a substantially lower voltage than the undoped superlattice. During switching the Ti-doped Sb2Te3 layers remain stable within the superlattice and only the Ge atoms are active and undergo interfacial phase transitions. In conclusion, we show the potential of thermally optimised Sb2Te3 – GeTe superlattices for a new generation of energy-efficient electrical and optical phase change memory. © 2022, CC BY.

关键词： Phase change memory

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Novel high-density refractory high-entropy alloys with excellent mechanical properties at high temperatures and high strain rates

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Journal of Alloys and Compounds 2025年 1035卷

作者： Yanxin Ge Yansong Guo Hong Su Yudong Zhang Hang Fan Lisha Deng Zheng Tian Chun Ran Ali Arab Qiwen Hu Chenguang Wang Bin Jia Pengwan Chen State Key Laboratory of Explosion Science and Safety Protection Beijing Institute of Technology Beijing 100081 China Yangtze Delta Region Academy of Beijing Institute of Technology Jiaxing 314019 China CSSC Systems Engineering Research Institute Beijing 100094 China National Key Laboratory of Nuclear Reactor Technology Nuclear Power Institute of China Chengdu 610213 China China Ordnance Society Beijing 100089 China Multidisciplinary Center for Infrastructure Engineering Shenyang University of Technology Shenyang 110870 China Faculty of land resources engineering Kunming University of Science and Technology Kunming Yunnan 650093 China

Based on traditional refractory high-entropy alloy (RHEA) NbMoTaW alloy, two novel RHEAs, Nb 0.2 Mo 0.8 Ta 2 WHf and Nb 0.5 Mo 0.5 TaWHf with densities of respectively 14.7 and 15.57 g/cm 3 were designed and fabricated by vacuum arc melting method. Phase components, microstructures, mechanical properties and fracture morphologies of the two RHEAs were investigated with comparison to the traditional NbMoTaW RHEA. Experimental results show that the two novel RHEAs present dual-BCC phase structure, which is different to that of the traditional NbMoTaW RHEA. Grain size of NbMoTaW is the largest, followed by Nb 0.2 Mo 0.8 Ta 2 WHf and Nb 0.5 Mo 0.5 TaWHf. The phenomenon of severe components segregation is observed in the two novel RHEAs. Nb 0.5 Mo 0.5 TaWHf has the best mechanical properties with microhardness of 653 ± 30 Hv, quasi-static yield stress of 1880 MPa and ductility of 2.6 %. Especially, the material still exhibits excellent strength at high temperatures of 600 – 1000 ℃. NbMoTaW and Nb 0.2 Mo 0.8 Ta 2 WHf show strain rate sensitivity within the strain rate range of 0.001 – 3000 s −1 . Compared to NbMoTaW and Nb 0.5 Mo 0.5 TaWHf, Nb 0.2 Mo 0.8 Ta 2 WHf has the best performance under dynamic loadings. Fracture morphologies of the three RHEAs agree with mechanical properties well. Chemical composition optimization is proven to be an effective method in improving both the density and the mechanical properties of the traditional NbMoTaW RHEA.

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A Sharing-Economy Inspired Pricing Mechanism for Multi-Access Edge Computing

A Sharing-Economy Inspired Pricing Mechanism for Multi-Acces...

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GLOBECOM 2020 - 2020 IEEE Global Communications Conference

作者： Marie Siew Desmond Cai Lingxiang Li Tony Q.S. Quek Information Systems Technology and Design Pillar Singapore University of Technology and Design Institute of High Performance Computing A*Star Singapore National Key Laboratory on Communications University of Electronic Science and Technology of China

ISBN: (数字)9781728182988

ISBN: (纸本)9781728182995

Multi-access Edge Computing (MEC) is an emerging paradigm which allows users to offload their computationally intensive tasks to the network edge. In this paper, we analyze resource allocation in MEC from the market and economic perspective. Due to extremely heterogeneous usage demands across users in the future IoE market, current coarse-grained pricing schemes result in partial wastage: some users would have excess un-utilized resource quota while others might have reserved insufficient resources. Therefore, we introduce a novel sharing economy-inspired business model, where a platform facilitates the sharing of resource quota among users, increasing resource efficiency. The goal is to maximize the overall welfare of users who join the sharing platform. As the platform lacks control and has imperfect knowledge of users' payoff functions and distributions, a distributed pricing mechanism is proposed. In our mechanism, the platform and users jointly arrive at an equilibrium. We prove that the equilibrium point of the mechanism is the socially optimal point. Simulations illustrate convergence, the robustness of our mechanism to changes in demand and supply, and that sharing increases the welfare of users.

关键词： Pricing Supply and demand Resource management Task analysis Sharing economy Dynamic scheduling Computational modeling

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Temperature Effect of Chemical Bath Deposition (CBD) to Fabrication and Characterization of Zinc Oxide Nanorods Thin Films Based Gas Sensing: Ethanol

Temperature Effect of Chemical Bath Deposition (CBD) to Fabr...

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International Symposium on Nanoscience and Nanotechnology in Life sciences 2017, ISNNLS 2017

作者： Ramadhan, Adimas Wulan Septiani, Ni Luh Aji Eko Prabowo, Wahyu Melati, Asih Department of Physics Faculty of Science and Technology Universitas Islam Negeri Sunan Kalijaga Yogyakarta55281 Indonesia Advanced Functional Materials Laboratory Engineering Physics Department Faculty of Industrial Technology Institut Teknologi Bandung Bandung40116 Indonesia Research Center for Quantum Engineering Design Faculty of Science and Technology Universitas Airlangga Surabaya60115 Indonesia Informatics Engineering Department Faculty of Computer Science Universitas Dian Nuswantoro Semarang50131 Indonesia

Fabrication of zinc oxide (ZnO) nanorods thin films based gas sensing ethanol have been done. Ethanol belongs to volatile organic compound (VOC) that are dangerous if inhaled by humans in high concentrations, so that its detection is necessary. Temperature as kinetic controller of chemical bath deposition (CBD) process take effect to ZnO fabrication and characterization. ZnO nanorods thin films was synthesized onto glass substrate by dip-coating technique. ZnO nanorods was grown using Zn(NO3)2.4H2O and HMTA with ratio 1:1 under CBD condition at temperature 75°C, 83°C, and 87°C. Result of SEM showing ZnO CBD 83°C has nanorods shape with diameter size is 95.56 nm, furthermore at 75°C the formation of the nanorods was not completed yet while at nanorods became deconstructed. XRD result showed all of ZnO sample have hexagonal wurzite which are match well with ICDS-094004 card. Ethanol gas sensing tested at 100°C, 150°C, 200°C showed high sensitivity of the sensor up to 77.31% for ZnO CBD 75°C at 100°C. ZnO CDB 83°C sample at test 200°C have highest response on 2.22 min (tres) and 0.45 min (trec). Time respond and recovery will increase along with increasing of test temperature. © 2020 Published under licence by IOP Publishing Ltd.

关键词： Zinc oxide

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Optimal design of Inhomogeneous Semi-Transparent Photovoltaic Windows Based on Daylight Performance and Visual Characters

SSRN

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SSRN 2022年

作者： Li, Xinyi Peng, Jinqing Tan, Yutong He, Yingdong Li, Bojia Ju, Xiaolei Ji, Jie Zhang, Song Li, Nianping College of Civil Engineering Hunan University Changsha410082 China Key Laboratory of Building Safety and Energy Efficiency of Ministry of Education Hunan University Changsha410082 China State key laboratory of building safety and environment China Academy of Building Research Beijing100013 China China Architecture Design & Research Group Beijing100044 China Department of Thermal Science and Energy Engineering University of Science and Technology of China Hefei230026 China LONGi Solar Technology Co. Ltd. Xi'An712000 China

Semi-transparent photovoltaic (STPV) windows are popular due to their energy-saving potential, but there is currently a lack of in-depth research on their daylight performance and visual characters. This study aims to assess the daylight performance and visual characters of inhomogeneous semi-transparent photovoltaic (IH-STPV) windows with various solar cell strip layouts through comparative experiments and a subjective survey. A visual angle model was first developed to quantify the correlation between the viewpoint distance away from the window and the solar cell strip width (CSW). Then, the visual angle model was used to optimize the CSW to mitigate the impact of cell strips on clearness and visual comfort. Based on the optimized CSW, the annual daylighting simulation in various daylight climate regions was performed by using the validated daylighting model. At last, the optimal solar cell coverage ratios (CCRs) in various daylight climate regions were recommended. The IH-STPV windows with identical CSW and CCR but with vertical cell (V-cell) strip layout and horizontal cell (H-cell) strip layout were compared in this study. The experimental results indicated that the daylight glare risk of the V-cell window was lower than that of the H-cell window. However, the difference in daylight glare risk became less significant when the viewpoint distance increases. Besides, the subjective survey results revealed that the visual discomfort caused by the solar cell strips could be alleviated by extending the viewpoint distance, and the correlation between the viewpoint distance and the maximum CSW was almost linear. The optimization results showed that the best CCR corresponding to the CSWs of 1 mm, 1mm, 1.5mm, and 2 mm were 70%, 50%, 30%, and 30%, respectively at the viewpoint distances of 1 m, 2 m, 3 m, and 4 m in Beijing. In addition, cities at higher latitudes tended to require a higher CCR due to the low solar altitude angle which causes the higher frequency to see th

关键词： Solar cells

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Fully First-Principles Approach in Studying Topological Magnons

arXiv

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arXiv 2025年

作者： Liu, Xiaoqiang Feng, Ji Qiao, Zhenhua Niu, Qian International Centre for Quantum Design of Functional Materials CAS Key Laboratory of Strongly-Coupled Quantum Matter Physics Department of Physics University of Science and Technology of China Anhui Hefei230026 China Hefei National Laboratory University of Science and Technology of China Hefei230088 China International Center for Quantum Materials School of Physics Peking University Beijing100871 China

We develop a fully first-principles approach for spin dynamics based on density functional perturbation theory. We demonstrate that the magnon wavefunction can be expressed by a set of electronic wavefunctions obtained from the decomposition of magnon density profile, enabling the direct calculation of magnonic quantities including Berry curvature and Chern number. As a concrete example, we show that monolayer CrI3 can host topological magnons driven by spin-orbit coupling. Our model-free approach paves the way for the comprehensive studies of magnons in real materials. Copyright © 2025, The Authors. All rights reserved.

关键词： Perturbation techniques

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Diff9D: Diffusion-Based Domain-Generalized Category-Level 9-DoF Object Pose Estimation

arXiv

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arXiv 2025年

作者： Liu, Jian Sun, Wei Yang, Hui Deng, Pengchao Liu, Chongpei Sebe, Nicu Rahmani, Hossein Mian, Ajmal National Engineering Research Center for Robot Visual Perception and Control Technology College of Electrical and Information Engineering School of Robotics State Key Laboratory of Advanced Design and Manufacturing for Vehicle Body Hunan University Changsha410082 China Institute of Artificial Intelligence and Robotics Xi’an Jiaotong University Xi’an710049 China Department of Information Engineering and Computer Science University of Trento Trento38123 Italy School of Computing and Communications Lancaster University LA1 4YW United Kingdom Department of Computer Science The University of Western Australia WA6009 Australia

Nine-degrees-of-freedom (9-DoF) object pose and size estimation is crucial for enabling augmented reality and robotic manipulation. Category-level methods have received extensive research attention due to their potential for generalization to intra-class unknown objects. However, these methods require manual collection and labeling of large-scale real-world training data. To address this problem, we introduce a diffusion-based paradigm for domain-generalized category-level 9-DoF object pose estimation. Our motivation is to leverage the latent generalization ability of the diffusion model to address the domain generalization challenge in object pose estimation. This entails training the model exclusively on rendered synthetic data to achieve generalization to real-world scenes. We propose an effective diffusion model to redefine 9-DoF object pose estimation from a generative perspective. Our model does not require any 3D shape priors during training or inference. By employing the Denoising Diffusion Implicit Model, we demonstrate that the reverse diffusion process can be executed in as few as 3 steps, achieving near real-time performance. Finally, we design a robotic grasping system comprising both hardware and software components. Through comprehensive experiments on two benchmark datasets and the real-world robotic system, we show that our method achieves state-of-the-art domain generalization performance. Our code will be made public at https://***/CNJianLiu/Diff9D. Copyright © 2025, The Authors. All rights reserved.

关键词： Augmented reality

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Semiclassical response of disordered conductors: Extrinsic carrier velocity and spin and field-corrected collision integral

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Physical Review Research 2022年第1期4卷 013001-013001页

作者： Rhonald Burgos Atencia Qian Niu Dimitrie Culcer Facultad de Ingenierías Departamento de Ciencias Básicas Universidad del Sinú Carrera 1w No. 38-153 4536534 Montería Córdoba 230002 Colombia International Center for Quantum Design of Functional Materials Hefei National Laboratory for Physical Sciences at the Microscale University of Science and Technology of China Hefei Anhui 230026 China School of Physics University of Science and Technology of China Hefei Anhui 230026 China School of Physics The University of New South Wales Sydney New South Wales 2052 Australia

The semiclassical equations of motion are widely used to describe carrier transport in conducting materials. Nevertheless, the substantial challenge of incorporating disorder systematically into the semiclassical model persists, leading to quantitative inaccuracies and occasionally erroneous predictions for the expectation values of physical observables. To address this issue, in this paper we provide a general prescription for reformulating the semiclassical equations of motion for carriers in disordered conductors by taking the quantum mechanical density matrix as the starting point. We focus on the case when only external electric fields are present, without magnetic fields, and the disorder potential is spin independent. The density matrix approach allows averaging over impurity configurations, and the trace of the velocity operator with the disorder-averaged density matrix can be reinterpreted as the semiclassical velocity weighted by the Boltzmann distribution function. Through this rationale the well-known intrinsic group and anomalous velocities are trivially recovered, while we demonstrate the existence of an extrinsic velocity, namely, a disorder correction to the semiclassical velocity of Bloch electrons, mediated by the interband matrix elements of the Berry connection. A similar correction is present in the nonequilibrium expectation value of the spin operator, contributing to spin-orbit torques. To obtain agreement with diagrammatic approaches, the scattering term in the Boltzmann equation must be corrected to first order in the applied electric field, and the Boltzmann equation itself must be solved up to subleading order in the disorder potential. Our prescription ensures that all vertex corrections present in diagrammatic treatments are taken into account, and to illustrate this, we discuss model cases in topological insulators, including the anomalous Hall effect as well as spin-orbit torques.

关键词： Spin-orbit coupling Topological materials Transport phenomena Semiconductors Boltzmann theory Semiclassical methods

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Advancements in electrochemical synthesis: Expanding from water electrolysis to dual-value-added products

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escience 2025年

作者： Wang, Genxiang Chen, Ao Chen, Yao Qiao, Fen Wang, Junfeng Yang, Nianjun Zhang, Hao Wen, Zhenhai School of Energy and Power Engineering Jiangsu University Zhenjiang 212013 China CAS Key Laboratory of Design and Assembly of Functional Nanostructures and Fujian Provincial Key Laboratory of Materials and Techniques Toward Hydrogen Energy Fujian Institute of Research on the Structure of Matter Chinese Academy of Sciences Fuzhou 350002 China Department of Chemistry & IMO-IMOMEC Hasselt University Diepenbeek 3590 Belgium Department of Chemical Engineering Massachusetts Institute of Technology Cambridge 02139 MA United States University of Chinese Academy of Science Beijing 100049 China

The application of electrochemical technologies for chemical and fuel synthesis offers a significantly more eco-friendly method than traditional industrial practice. However, electrochemical synthesis in aqueous solutions often involves a sluggish oxygen evolution reaction (OER) at the anode, yielding products that are less economically viable and leading to inefficient energy use. This challenge has prompted extensive research into replacing the OER with fast, value-added oxidation reactions (OER alternatives) in electrolysis systems. In this review, we summarize the latest research progress in coupled electrochemical systems that integrate OER alternatives with reduction reactions, beyond hydrogen evolution reactions, in aqueous solutions to synthesize dual value-added products. After providing a general overview, we start by introducing two key factors: (i) electrolytic devices and (ii) advanced characterization techniques for mechanism investigation. The focus then shifts to catalysts developed so far and their corresponding catalytic mechanisms, and to the electrochemical performance of these hybrid electrolysis systems. Finally, we outline and discuss the challenges and prospects for these integrated electrochemical systems to offer insights into future research directions and applications. We envision that this review will provide a panorama of electrolysis systems for dual value-added products, thereby fostering the development of green synthesis with zero carbon emissions. © 2024 The Authors

关键词： Electrochemical hybrid systems Electrosynthesis Oxygen evolution reaction alternatives Reduction reactions

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Intelligent prediction on air intake flow of spark ignition engine by a chaos radial basis function neural network

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Journal of Central South University 2020年第9期27卷 2687-2695页

作者： LI Yue-lin LIU Bo-fu WU Gang LIU Zhi-qiang DING Jing-feng ABUBAKAR Shitu Key Laboratory of Safety and Design and Reliability Technology of Engineering Vehicles in Hunan Province Changsha 410114China College of Automotive and Mechanical Engineering Changsha University of Science and TechnologyChangsha 410114China College of Mechanical and Electrical Engineering Central South UniversityChangsha 410083China

To ensure the control of the precision of air-fuel ratio(AFR)of port fuel injection(PFI)spark ignition(SI)engines,a chaos radial basis function(RBF)neural network is used to predict the air intake flow of the *** data of air intake flow is proved to be multidimensionally nonlinear and *** RBF neural network is used to train the reconstructed phase space of the *** chaos algorithm is employed to optimize the weights of output layer connection and the radial basis center of Gaussian function in hidden *** simulation results obtained from Matlab/Simulink illustrate that the model has higher accuracy compared to the conventional RBF *** mean absolute error and the mean relative error of the chaos RBF model can reach 0.0017 and 0.48,respectively.

关键词： intake air flow spark ignition engine chaos RBF neural network

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