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Influence of the grain chemical composition on the fused silica polishing at atomic scale using molecular dynamic simulations

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Ceramics International 2025年第7期51卷 9278-9291页

作者： Ahuir-Torres, Juan I. Chen, Xun Akar, Yasemin Bingham, Paul A. Jackson, Frankie F. Li, Hongyu Mason, Luke Mishra, Rakesh Walker, David D. Yu, Guoyu General Engineering Research Institute Faculty of Engineering and Technology Liverpool John Moores University GERI Building 3 Byrom Street Merseyside LiverpoolL3 3AF United Kingdom Faculty of Engineering and Physical Sciences School of Mechanical Engineering University of Leeds Woodhouse LeedsLS2 9JT United Kingdom College of Business Technology and Engineering Sheffield Hallam University City Campus Howard Street South Yorkshire SheffieldS1 1WB United Kingdom Department of Engineering and Technology School of Computing and Engineering University of Huddersfield West Yorkshire HuddersfieldHD1 3DH United Kingdom SciTech Daresbury National Science & Innovation Campus University of Huddersfield Laboratory for Ultra Precision Surface G6 TechSpace One Keckwick Lane Merseyside DaresburyWA4 4AB United Kingdom Scientific Computing Department Science and Technology Facilities Council North Star Avenue Wiltshire SwindonSN2 1SZ United Kingdom

关键词： Fused silica

Noise Correlations in a 1D Silicon Spin Qubit Array

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arXiv 2024年

作者： Donnelly, M.B. Rowlands, J. Kranz, L. Hsueh, Y.L. Chung, Y. Timofeev, A.V. Geng, H. Singh-Gregory, P. Gorman, S.K. Keizer, J.G. Rahman, R. Simmons, M.Y. Silicon Quantum Computing Pty. Ltd. UNSW Sydney Level 2 Newton Building NSW2052 Australia School of Physics UNSW Sydney NSW2052 Australia Centre for Quantum Computing and Communication Technology UNSW Sydney NSW2052 Australia

Correlated noise across multi-qubit architectures is known to be highly detrimental to the operation of error correcting codes and the long-term feasibility of quantum processors. The recent discovery of spatially dependent correlated noise in multi-qubit architectures of superconducting qubits arising from the impact of cosmic radiation and high-energy particles giving rise to quasiparticle poisoning within the substrate has led to intense investigations of mitigation strategies to address this. In contrast correlated noise in semiconductor spin qubits as a function of distance has not been reported to date. Here we report the magnitude, frequency and spatial dependence of noise correlations between four silicon quantum dot pairs as a function of inter-dot distance at frequencies from 0.3 mHz to 1 mHz. We find the magnitude of charge noise correlations, quantified by the magnitude square coherence Cxy, are significantly suppressed from > 0.5 to Copyright © 2024, The Authors. All rights reserved.

关键词： Semiconductor quantum dots

Multi-Source Coflow Scheduling in Collaborative Edge computing with Multihop Network

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arXiv 2024年

作者： Sahni, Yuvraj Cao, Jiannong Yang, Lei Wang, Shengwei The Department of Building Environment and Energy Engineering The Hong Kong Polytechnic University Hong Kong The Department of Computing The Hong Kong Polytechnic University Hong Kong The School of Software Engineering South China University of Technology Guangzhou China

Collaborative edge computing has become a popular paradigm where edge devices collaborate by sharing resources. Data dissemination is a fundamental problem in CEC to decide what data is transmitted from which device and how. Existing works on data dissemination have not focused on coflow scheduling in CEC, which involves deciding the order of flows within and across coflows at network links. Coflow implies a set of parallel flows with a shared objective. The existing works on coflow scheduling in data centers usually assume a non-blocking switch and do not consider congestion at different links in the multi-hop path in CEC, leading to increased coflow completion time (CCT). Furthermore, existing works do not consider multiple flow sources that cannot be ignored, as data can have duplicate copies at different edge devices. This work formulates the multi-source coflow scheduling problem in CEC, which includes jointly deciding the source and flow ordering for multiple coflows to minimize the sum of CCT. This problem is shown to be NP-hard and challenging as each flow can have multiple dependent conflicts at multiple links. We propose a source and coflow-aware search and adjust (SCASA) heuristic that first provides an initial solution considering the coflow characteristics. SCASA further improves the initial solution using the source search and adjust heuristic by leveraging the knowledge of both coflows and network congestion at links. Evaluation done using simulation experiments shows that SCASA leads to up to 83% reduction in the sum of CCT compared to benchmarks without a joint solution. Copyright © 2024, The Authors. All rights reserved.

关键词： Edge computing

SCIENTIFIC MACHINE LEARNING FOR CLOSURE MODELS IN MULTISCALE PROBLEMS: A REVIEW

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arXiv 2024年

作者： Sanderse, Benjamin Stinis, Panos Maulik, Romit Ahmed, Shady E. Scientific Computing Group Centrum Wiskunde & Informatica Science Park 123 Amsterdam Netherlands Advanced Computing Mathematics and Data Division Pacific Northwest National Laboratory RichlandWA99352 United States College of Information Sciences and Technology The Pennsylvania State University Westgate Building University ParkPA16802 United States

Closure problems are omnipresent when simulating multiscale systems, where some quantities and processes cannot be fully prescribed despite their effects on the simulation’s accuracy. Recently, scientific machine learning approaches have been proposed as a way to tackle the closure problem, combining traditional (physics-based) modeling with data-driven (machine-learned) techniques, typically through enriching differential equations with neural networks. This paper reviews the different reduced model forms, distinguished by the degree to which they include known physics, and the different objectives of a priori and a posteriori learning. The importance of adhering to physical laws (such as symmetries and conservation laws) in choosing the reduced model form and choosing the learning method is discussed. The effect of spatial and temporal discretization and recent trends toward discretization-invariant models are reviewed. In addition, we make the connections between closure problems and several other research disciplines: inverse problems, Mori-Zwanzig theory, and multi-fidelity methods. In conclusion, much progress has been made with scientific machine learning approaches for solving closure problems, but many challenges remain. In particular, the generalizability and interpretability of learned models is a major issue that needs to be addressed *** Codes 65MXX, 76MXX, 68T07 © 2024, CC BY-NC-SA.

关键词： Inverse problems

Multiplexed Pseudo-Deterministic Photon Source with Asymmetric Switching Elements

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arXiv 2023年

作者： Brandhofer, Sebastian Myers, Casey R. Devitt, Simon J. Polian, Ilia University of Stuttgart Stuttgart Germany Silicon Quantum Computing UNSW Sydney Level 2 Newton Building KensingtonNSW Australia School of Computing and Information Systems Faculty of Engineering and Information Technology The University of Melbourne MelbourneVIC3010 Australia Center for Quantum Software and Information University of Technology Sydney UltimoNSW Australia

The reliable, deterministic production of trustworthy high-quality single photons is a critical component of discrete variable, optical quantum technology. For single-photon based fully error-corrected quantum computing systems, it is estimated that photon sources will be required to produce a reliable stream of photons at rates exceeding 1 GHz [1]. Photon multiplexing, where low probability sources are combined with switching networks to route successful production events to an output, are a potential solution but requires extremely fast single photon switching with ultra-low loss rates. In this paper we examine the specific properties of the switching elements and present a new design that exploits the general one-way properties of common switching elements such as thermal pads. By introducing multiple switches to a basic, temporal multiplexing device, we are able to use slow switching elements in a multiplexed source being pumped at much faster rates. We model this design under multiple error channels and show that anticipated performance is now limited by the intrinsic loss rate of the optical waveguides within integrated photonic chipsets. Copyright © 2023, The Authors. All rights reserved.

关键词： Photons

A Q-values Sharing Framework for Multi-agent Reinforcement Learning under Budget Constraint

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A Q-values Sharing Framework for Multi-agent Reinforcement L...

作者： Zhu, Changxi Leung, Ho-Fung Hu, Shuyue Cai, Yi B7 Building South China University of Technology Higher Education Mega Center Panyu District Guangzhou Guangdong China Ho Sin-hang Engineering Building The Chinese University of Hong Kong Hong Kong Hong Kong Department of Computer Science National University of Singapore AILab 3 Computing 1 13 Computing Drive Singapore117417 Singapore B7 Building South China University of Technology Higher Education Mega Center Panyu District Guangzhou Guangdong China

In a teacher-student framework, a more experienced agent (teacher) helps accelerate the learning of another agent (student) by suggesting actions to take in certain states. In cooperative multi-agent reinforcement learning (MARL), where agents must cooperate with one another, a student could fail to cooperate effectively with others even by following a teacher's suggested actions, as the policies of all agents can change before convergence. When the number of times that agents communicate with one another is limited (i.e., there are budget constraints), an advising strategy that uses actions as advice could be less effective. We propose a partaker-sharer advising framework (PSAF) for cooperative MARL agents learning with budget constraints. In PSAF, each Q-learner can decide when to ask for and share its Q-values. We perform experiments in three typical multi-agent learning problems. The evaluation results indicate that the proposed PSAF approach outperforms existing advising methods under both constrained and unconstrained budgets. Moreover, we analyse the influence of advising actions and sharing Q-values on agent learning. © 2021 ACM.

关键词： Students

Impact of measurement backaction on nuclear spin qubits in silicon

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Physical Review B 2024年第3期109卷 035157-035157页

作者： S. Monir E. N. Osika S. K. Gorman I. Thorvaldson Y.-L. Hsueh P. Macha L. Kranz J. Reiner M. Y. Simmons R. Rahman School of Physics The University of New South Wales Sydney NSW 2052 Australia Silicon Quantum Computing Pty Ltd. Level 2 Newton Building UNSW Sydney Kensington NSW 2052 Australia Centre for Quantum Computation and Communication Technology School of Physics University of New South Wales Sydney NSW 2052 Australia

Phosphorus donor nuclear spins in silicon couple weakly to the environment, making them promising candidates for high-fidelity qubits. The state of a donor nuclear spin qubit can be manipulated and read out using its hyperfine interaction with the electron confined by the donor potential. Here we use a master-equation-based approach to investigate how the backaction from this electron-mediated measurement affects the lifetimes of single and multidonor qubits. We analyze this process as a function of electric and magnetic fields and hyperfine interaction strength. Apart from single nuclear spin flips, we identify an additional measurement-related mechanism, the nuclear spin flip-flop, which is specific to multidonor qubits. Although this flip-flop mechanism reduces qubit lifetimes, we show that it can be effectively suppressed by the hyperfine Stark shift. We show that using atomic precision donor placement and engineered Stark shift, we can minimize the measurement backaction in multidonor qubits, achieving larger nuclear spin lifetimes than single donor qubits.

关键词： Fine & hyperfine structure Spin dynamics Quantum dots Semiconductors Master equation

HeXA: Haptic-enhanced eXtended reality framework for material-informed Architectural design

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Journal of building Engineering 2025年 108卷

作者： Senk, Valentin Ghazanfari, Mohammad Rasoulzadeh, Shervin Vasylevska, Khrystyna Kovacs, Balint Istvan Mortezapoor, Soroosh Vonach, Emanuel Kovacic, Iva Füssl, Josef Kaufmann, Hannes Königsberger, Markus Institute of Mechanics of Materials and Structures Vienna University of Technology Karlsplatz 13/202 Vienna1040 Austria Institute of Visual Computing and Human-Centered Technology Vienna University of Technology Favoritenstrasse 9-11 Vienna1040 Austria Institute of Building and Industrial Construction Vienna University of Technology Karlsplatz 13/210 Vienna1040 Austria Institute of Architectural Sciences Vienna University of Technology Treitlstrasse 3 Vienna1040 Austria

Traditional architectural design processes are caught in sequential and isolated planning workflows, starting with pen-and-paper sketching, digitizing, visualizing for stakeholders, and refining. Only after the basic design has been established, structural engineers get involved and modify the structure, such that the design withstands all external loads. This segregated approach is driven by knowledge barriers associated with structural analysis and by lengthy feedback loops regarding structural design decisions involving finite element simulations. This paper presents research on a novel collaborative and digital design framework, labeled as HeXA, that lowers this knowledge barrier and enables all stakeholders to actively participate in structural design decisions. HeXA couples architecture, structural and material mechanics, computer science and graphics, as well as robotics in six modules: (1) a sketching interface for architectural design, (2) a geometric modeling module that translates the sketch to finite element meshes, (3) a material modeling module that predicts the mechanical properties of sustainable bio-composites, (4) a structural analysis module that assesses the mechanical performance using finite element simulations, and (5) an extended reality environment's immersive visualization that is enhanced by (6) structural haptic feedback provided by a collaborative robot. This allows users to touch and push the envisioned structure in a virtual environment and experience realistic structural deformations provided by the robot and its arm in real-time while resulting stress fields are mapped onto the virtual structure. This way, architectural and structural design processes – particularly at the crucial early design stage – become collaborative, interactive, accessible, and responsive as demonstrated in the paper based on two use cases in theater stage design and building architecture. © 2025 The Authors

关键词： Architectural design

DeST 3.0:A new-generation building performance simulation platform

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building Simulation 2022年第11期15卷 1849-1868页

作者： Da Yan Xin Zhou Jingjing An Xuyuan Kang Fan Bu Youming Chen Yiqun Pan Yan Gao Qunli Zhang Hui Zhou Kuining Qiu Jing Liu Yan Liu Honglian Li Lei Zhang Hong Dong Lixin Sun Song Pan Xiang Zhou Zhe Tian Wenjie Zhang Ruhong Wu Hongsan Sun Yu Huang Xiaohong Su Yongwei Zhang Rui Shen Diankun Chen Guangyuan Wei Yixing Chen Jinqing Peng Building Energy Research Center School of ArchitectureTsinghua UniversityBeijing 100084China School of Architecture Southeast UniversityNanjingJiangsu 210096China School of Environment and Energy Engineering Beijing University of Civil Engineering and ArchitectureBeijing 100044China College of Civil Engineering Hunan UniversityChangshaHunan 410082China School of Mechanical Engineering Tongji UniversityShanghai200092China Beijing Key Lab of Heating Gas SupplyVentilating and Air Conditioning EngineeringBeijing University of Civil Engineering and ArchitectureBeijing 100044China China State Construction Technology Center Beijing 101320China School of Architecture Harbin Institute of TechnologyHarbinHeilongjiang 150090China School of Architecture Xi'an University of Architecture and TechnologyXi'anShaanxi 710055China School of Architecture South China University of TechnologyGuangzhouGuangdong 510641China Institute of Building Environment and Energy China Academy of Building ResearchBeijing 100013China Beijing Key Laboratory of Green Built Environment and Energy Efficient Technology Beijing University of TechnologyBeijing 100124China Key Lab of Built Environment and Energy of Tianjin School of Environmental Science and EngineeringTianjin UniversityTianjin 300350China School of Energy and Power Engineering Nanjing University of Science and TechnologyNanjing 210094China School of Civil Engineering Guangzhou UniversityGuangzhou 510006China Faculty of Computing Harbin Institute of TechnologyHarbinHeilongjiang 150001China Beijing Glory PKPM Technology Co. Ltd.Beijing 100013China Beijing Tangent Software Co. LtdBeijing 100081China Shanghai Huadianyuan Information Technology Co. LtdShanghai200092China Luoyang Hongye Information Technology Co. Ltd.LuoyangHenan 471822China

buildings contribute to almost 30%of total energy consumption *** building energy modeling programs is of great significance for lifecycle building performance assessment and *** in novel building technologies,the requirements of high-performance computation,and the demands for multi-objective models have brought new challenges for building energy modeling software and *** meet the increasing simulation demands,DeST 3.0,a new-generation building performance simulation platform,was developed and *** structure of DeST 3.0 incorporates four simulation engines,including building analysis and simulation(BAS)engine,HVAC system engine,combined plant simulation(CPS)engine,and energy system(ES)engine,connected by air loop and water loop balancing *** 3.0 offers numerous new simulation features,such as advanced simulation modules for building envelopes,occupant behavior and energy systems,cross-platform and compatible simulation kernel,FMI/FMU-based co-simulation functionalities,and high-performance parallel simulation *** 3.0 has been thoroughly evaluated and validated using code verification,inter-program comparison,and case-study *** 3.0 has been applied in various aspects throughout the building lifecycle,supporting building design,operation,retrofit analysis,code appliance,technology adaptability evaluation as well as research and *** new generation building simulation platform DeST 3.0 provides an efficient tool and comprehensive simulation platform for lifecycle building performance analysis and optimization.

关键词： DeST building performance simulation building energy modeling