Physica A: Statistical Mechanics and its Applications最新文献_第3页

Capacity improvement for mixed traffic flow by installing vehicle-to-vehicle devices on partial human-driven vehicles to serve connected automated vehicles 通过在部分人工驾驶车辆上安装车对车设备，为联网自动驾驶车辆提供服务，提高混合交通流量的容量

IF 2.8 3区物理与天体物理

Physica A: Statistical Mechanics and its Applications Pub Date : 2025-06-10 DOI: 10.1016/j.physa.2025.130763

Yan Wang , Yanyan Qin , Zhongbin Luo , Hao Wang

{"title":"Capacity improvement for mixed traffic flow by installing vehicle-to-vehicle devices on partial human-driven vehicles to serve connected automated vehicles","authors":"Yan Wang , Yanyan Qin , Zhongbin Luo , Hao Wang","doi":"10.1016/j.physa.2025.130763","DOIUrl":"10.1016/j.physa.2025.130763","url":null,"abstract":"<div><div>Vehicle-to-vehicle (V2V) communication technology in connected automated vehicles (CAVs) substantially improves traffic capacity. During initial CAV deployment phases, mixed traffic flow combining CAVs and human-driven vehicles (HVs) will inevitably co-exist on highways. The absence of V2V capabilities in HVs prevents them from providing V2V services to CAVs, thereby constraining CAVs’ capacity improvement in mixed traffic environments. To address this limitation, we propose equipping partial HVs with V2V communication devices, enabling these retrofitted HVs to transmit V2V information and create essential communication environment for CAVs. This study develops a mixed traffic capacity analysis framework that simultaneously incorporates CAV penetration rate and V2V installation rate of HVs, which aims to improve mixed traffic capacity by adjusting the V2V installation rate of HVs. Firstly, we classified car-following patterns within mixed traffic flow and calculate their probabilities. Secondly, a mixed traffic capacity model was constructed using fundamental diagram theory. Using the established model, critical values for V2V installation rate of HVs were analytically derived to achieve capacity improvements under varying CAV penetration rates. Finally, numerical experiments validated both the model’s reliability and theoretical derivations. Results demonstrate that the proposed model effectively quantifies how CAV penetration rate and V2V installation rate of HVs jointly influence mixed traffic capacity. Strategic adjustment of V2V installation rate of HVs based on each level of CAV penetration rates significantly enhances mixed traffic capacity.</div></div>","PeriodicalId":20152,"journal":{"name":"Physica A: Statistical Mechanics and its Applications","volume":"674 ","pages":"Article 130763"},"PeriodicalIF":2.8,"publicationDate":"2025-06-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144262336","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

The adverse effects of large-scale vaccination on highly transmissible epidemics 大规模接种疫苗对高传染性流行病的不利影响

IF 2.8 3区物理与天体物理

Physica A: Statistical Mechanics and its Applications Pub Date : 2025-06-10 DOI: 10.1016/j.physa.2025.130722

Yinzuo Zhou , Yihan Liu , Xiyun Zhang , Jie Zhou

引用次数: 0

Optimizing index tracking: A Random Matrix Theory approach to portfolio selection 优化指数跟踪：投资组合选择的随机矩阵理论方法

IF 2.8 3区物理与天体物理

Physica A: Statistical Mechanics and its Applications Pub Date : 2025-06-10 DOI: 10.1016/j.physa.2025.130747

Francesca Grassetti

引用次数: 0

Quantum thermodynamics of a power-law potential 幂律势的量子热力学

IF 2.8 3区物理与天体物理

Physica A: Statistical Mechanics and its Applications Pub Date : 2025-06-09 DOI: 10.1016/j.physa.2025.130728

Vinicius Gomes de Paula , Wanisson S. Santana , Clebson Cruz , Mario Reis

{"title":"Quantum thermodynamics of a power-law potential","authors":"Vinicius Gomes de Paula , Wanisson S. Santana , Clebson Cruz , Mario Reis","doi":"10.1016/j.physa.2025.130728","DOIUrl":"10.1016/j.physa.2025.130728","url":null,"abstract":"<div><div>Modeling quantum thermal machines provides a practical approach to describing the thermodynamic properties of quantum technologies and devices. For this purpose, power-law potentials are often employed as working mediums of quantum thermodynamic cycles to investigate the concepts of heat, work, and efficiency. With this in mind, we present the results for the Stirling and Otto numerical modeling of quantum thermal machines that use a general power law potential with a characteristic <span><math><mi>q</mi></math></span> exponent. We calculate its energy spectra, showing that it recovers the traditional forms of harmonic oscillator and 1-D potential well. We derive expressions for the reduced energy exchanges during a complete cycle and for the efficiency/coefficient of performance as a function of the exponent <span><math><mi>q</mi></math></span>, the bath temperatures, and the frequency ratio. From these results, we identify parameters that yield desired properties, such as optimized performance and transitions between different operation modes. The findings highlight the role of power-like potentials in optimizing quantum heat engines and support the design of tailored engines with specific performance characteristics.</div></div>","PeriodicalId":20152,"journal":{"name":"Physica A: Statistical Mechanics and its Applications","volume":"674 ","pages":"Article 130728"},"PeriodicalIF":2.8,"publicationDate":"2025-06-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144254843","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Uncertainty driven decision making and perturbation dynamics in evolutionary games on small-world networks 小世界网络进化博弈中的不确定性驱动决策和扰动动力学

IF 2.8 3区物理与天体物理

Physica A: Statistical Mechanics and its Applications Pub Date : 2025-06-09 DOI: 10.1016/j.physa.2025.130719

Helani Wickramaarachchi , Michael Kirley

{"title":"Uncertainty driven decision making and perturbation dynamics in evolutionary games on small-world networks","authors":"Helani Wickramaarachchi , Michael Kirley","doi":"10.1016/j.physa.2025.130719","DOIUrl":"10.1016/j.physa.2025.130719","url":null,"abstract":"<div><div>The efficiency of models that aim to interpret real world scenarios largely depends on how well they can reproduce empirical data. However, this task is challenged by uncertainties arising from dynamic environments. Recent studies on feedback-evolving games which characterize the interplay between the evolution of strategies and environmental changes, provide a theoretical framework to address this uncertainty problem. While previous studies assumed uncertainty caused by dynamic environments would impact all decisions equally, the proposed model reveals that decision-specific uncertainty influences the behavioral dynamics of a population differently. By introducing uncertainty as perturbations to a 2 × 2 payoff structure, the proposed model represents different aspects of real world uncertainty. This study reveals that perturbations applied to the off diagonal elements promote coexistence among strategies, whereas perturbations spanning the entire payoff matrix enhance cooperative behaviors. In contrast, perturbations introduced through the main diagonal and cost–benefit terms drive the system towards defective behavior. It is also evident that those findings remain consistently across various network structures. Expanding upon these findings, the study was extended to small-world networks, investigating the impact of key parameters such as the average degree (number of neighbors) and rewiring probability. Our results uncover intricate dependencies between these structural parameters and behavioral dynamics over time under various perturbation mechanisms. Overall, this research provides a comprehensive understanding of how external dynamics and network structures collectively shape evolutionary dynamics while highlighting the role of game transitions in evolutionary dynamics.</div></div>","PeriodicalId":20152,"journal":{"name":"Physica A: Statistical Mechanics and its Applications","volume":"674 ","pages":"Article 130719"},"PeriodicalIF":2.8,"publicationDate":"2025-06-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144262339","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Fractionation by persistent random walk and two-coefficient diffusion law 用持续随机游走法和二系数扩散法分馏

IF 2.8 3区物理与天体物理

Physica A: Statistical Mechanics and its Applications Pub Date : 2025-06-09 DOI: 10.1016/j.physa.2025.130718

Ho-Youn Kim , Min-Yoo Kim , Yong-Jung Kim

引用次数: 0

Thermodynamic properties of high-dimensional Heisenberg ferromagnets with an arbitrary spin-S 具有任意自旋s的高维海森堡铁磁体的热力学性质

IF 2.8 3区物理与天体物理

Physica A: Statistical Mechanics and its Applications Pub Date : 2025-06-09 DOI: 10.1016/j.physa.2025.130730

Bin-Zhou Mi , Huai-Yu Wang

{"title":"Thermodynamic properties of high-dimensional Heisenberg ferromagnets with an arbitrary spin-S","authors":"Bin-Zhou Mi , Huai-Yu Wang","doi":"10.1016/j.physa.2025.130730","DOIUrl":"10.1016/j.physa.2025.130730","url":null,"abstract":"<div><div>This study extends the Heisenberg ferromagnetic model to high-dimensional simple hypercubic lattice systems by using the double-time Green’s function method. Analytical derivation and numerical calculation were performed on the lattice structural factor, Curie temperature, and spontaneous magnetization. It is found that the spontaneous magnetization of <span><math><mi>d</mi></math></span>-dimensional (<span><math><mrow><mi>d</mi><mo>≥</mo><mn>3</mn></mrow></math></span>) Heisenberg ferromagnet with an arbitrary spin-<span><math><mi>S</mi></math></span> obeys the <em>T</em><sup><em>d</em>/2</sup> law at very low temperatures. This indicates that the low-temperature magnetization characteristics are closely related to the spatial dimension. The lattice structural factor is evaluated for <span><math><mrow><mi>d</mi><mo>=</mo><mn>3</mn></mrow></math></span> to 15. It is interesting to note that when the spatial dimension <span><math><mi>d</mi></math></span> is very large, the Curie temperature is nearly proportional to the <span><math><mi>d</mi></math></span> at any fixed spin-<span><math><mi>S</mi></math></span>, which means that the Curie temperature increases with the <span><math><mi>d</mi></math></span> with no upper limit. In addition, it is observed that the larger the spin-<span><math><mi>S</mi></math></span>, the closer the normalized spontaneous magnetization versus the normalized temperature curves for different spatial dimension <span><math><mi>d</mi></math></span>.</div></div>","PeriodicalId":20152,"journal":{"name":"Physica A: Statistical Mechanics and its Applications","volume":"674 ","pages":"Article 130730"},"PeriodicalIF":2.8,"publicationDate":"2025-06-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144308018","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

CardiacPINN: A Physics-Informed Neural Network with multi-head attention for non-invasive assessment of cardiac function CardiacPINN：一个具有多头关注的物理信息神经网络，用于无创心功能评估

IF 2.8 3区物理与天体物理

Physica A: Statistical Mechanics and its Applications Pub Date : 2025-06-09 DOI: 10.1016/j.physa.2025.130717

Yagang Wu , Jilong He , Zhoushun Zheng , Tianli Zhao

{"title":"CardiacPINN: A Physics-Informed Neural Network with multi-head attention for non-invasive assessment of cardiac function","authors":"Yagang Wu , Jilong He , Zhoushun Zheng , Tianli Zhao","doi":"10.1016/j.physa.2025.130717","DOIUrl":"10.1016/j.physa.2025.130717","url":null,"abstract":"<div><div>Accurate and rapid assessment of left ventricular (LV) contractility is crucial for managing cardiovascular diseases, yet current methods are limited by invasiveness or sparse data. To address these challenges, this study introduces CardiacPINN, a Physics-Informed Neural Network (PINN) designed for fast, non-invasive, and physiologically consistent estimation of LV contractility. CardiacPINN utilizes a closed-loop lumped-parameter cardiovascular model with five compartments to capture pressure–volume interactions and integrates multi-scale Fourier features, hierarchical self-attention, and an adaptive physics-constrained loss balancing strategy to enforce hemodynamic laws and ensure numerical stability. Evaluated using synthetic datasets generated via Latin Hypercube Sampling and experimental swine data, CardiacPINN demonstrated a convergence rate up to 76% faster than a baseline PINN on swine datasets and achieved a root-mean absolute error one order of magnitude lower in key compartments like the vena cava and peripheral arteries. The model accurately reproduced pressure–volume loops in both synthetic and real swine data, the quantitative range of R<span><math><msup><mrow></mrow><mrow><mn>2</mn></mrow></msup></math></span> values achieved on the swine data for both LV pressure (0.88–0.99) and LV volume (0.59–0.97), effectively capturing contractility changes induced by dobutamine. These results indicate that CardiacPINN offers robust and efficient estimation of LV contractility across various physiological conditions, paving the way for real-time cardiac monitoring and personalized healthcare.</div></div>","PeriodicalId":20152,"journal":{"name":"Physica A: Statistical Mechanics and its Applications","volume":"674 ","pages":"Article 130717"},"PeriodicalIF":2.8,"publicationDate":"2025-06-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144254842","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

XY-Ashkin–Teller phase diagram in d=3 d=3时的XY-Ashkin-Teller相图

IF 2.8 3区物理与天体物理

Physica A: Statistical Mechanics and its Applications Pub Date : 2025-06-09 DOI: 10.1016/j.physa.2025.130715

Alpar Türkoğlu , A. Nihat Berker

引用次数: 0

Relation between stochastic processes and thermodynamics of trajectories 随机过程与轨迹热力学的关系

IF 2.8 3区物理与天体物理

Physica A: Statistical Mechanics and its Applications Pub Date : 2025-06-09 DOI: 10.1016/j.physa.2025.130760

V.V. Ryazanov

引用次数: 0