Physica A: Statistical Mechanics and its Applications最新文献_第9页

Symmetry-induced maximum entropy production in enzyme kinetics: A noether-type mechanism 酶动力学中对称诱导的最大熵产生：一种noether型机制

IF 3.1 3区物理与天体物理

Physica A: Statistical Mechanics and its Applications Pub Date : 2026-03-15 Epub Date: 2026-02-06 DOI: 10.1016/j.physa.2026.131366

Andrej Dobovišek , Aleš Fajmut

引用次数: 0

A study of mixed-traffic lane change decision for connected and autonomous vehicles considering driving styles 考虑驾驶风格的网联与自动驾驶混合交通变道决策研究

IF 3.1 3区物理与天体物理

Physica A: Statistical Mechanics and its Applications Pub Date : 2026-03-15 Epub Date: 2026-02-03 DOI: 10.1016/j.physa.2026.131331

Ming Li, Xinrui Yu, Yantao Zou

{"title":"A study of mixed-traffic lane change decision for connected and autonomous vehicles considering driving styles","authors":"Ming Li, Xinrui Yu, Yantao Zou","doi":"10.1016/j.physa.2026.131331","DOIUrl":"10.1016/j.physa.2026.131331","url":null,"abstract":"<div><div>With the rapid development of driverless technology, it is inevitable that self-driving cars and artificial cars will share the right of way. How to make reasonable and efficient lane change decisions in mixed-flow environment is extremely important. At present, there are abundant studies on the lane-changing model of intelligent connected vehicles in mixed-flow environment, but there is a lack of in-depth research on the influence of vehicles in the target lane on lane-changing behavior, and the influence of different driving styles of potentially conflicting vehicles on lane-changing behavior is not considered. To address the lane-changing and merging behavior of intelligent connected autonomous vehicles (CAVs) when potential conflicting vehicles are human-driven, this study incorporates the influence of various human driving styles into the decision-making process. A multi-attribute lane-change decision model based on entropy weighting is developed, aiming to achieve more favorable conditions and higher lane-changing benefits. This approach offers a novel perspective and method for autonomous vehicle lane-change decision-making during interactions with human-driven vehicles.</div></div>","PeriodicalId":20152,"journal":{"name":"Physica A: Statistical Mechanics and its Applications","volume":"686 ","pages":"Article 131331"},"PeriodicalIF":3.1,"publicationDate":"2026-03-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147385820","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 entangled density operator describing an non-degenerate optical parametric amplifier system and its von Neumann entropy 描述非简并光参量放大器系统及其冯诺依曼熵的纠缠密度算子

IF 3.1 3区物理与天体物理

Physica A: Statistical Mechanics and its Applications Pub Date : 2026-03-15 Epub Date: 2026-01-31 DOI: 10.1016/j.physa.2026.131346

Xiang-Guo Meng , Li-Li Xu , Xu-Cong Zhou , Wei-Feng Wu

引用次数: 0

Quantum stirling heat engines with a three-spin LMG model: Performance and thermodynamic modes under anisotropic coupling 三自旋LMG模型的量子斯特林热机：各向异性耦合下的性能和热力学模式

IF 3.1 3区物理与天体物理

Physica A: Statistical Mechanics and its Applications Pub Date : 2026-03-15 Epub Date: 2026-01-20 DOI: 10.1016/j.physa.2026.131313

Yongjun Xiao , Aimei Liu , Li-Cai Zhao

{"title":"Quantum stirling heat engines with a three-spin LMG model: Performance and thermodynamic modes under anisotropic coupling","authors":"Yongjun Xiao , Aimei Liu , Li-Cai Zhao","doi":"10.1016/j.physa.2026.131313","DOIUrl":"10.1016/j.physa.2026.131313","url":null,"abstract":"<div><div>The quantum thermodynamic performance of a Stirling cycle employing a three-spin Lipkin-Meshkov-Glick (LMG) model is investigated under varying magnetic interaction anisotropies and control parameters. The model operates in the anisotropic XY regime (<span><math><mrow><mi>γ</mi><mo>=</mo><mo>+</mo><mn>1</mn></mrow></math></span>), the Ising limit (<span><math><mrow><mi>γ</mi><mo>=</mo><mn>0</mn></mrow></math></span>), and the mixed ferromagnetic regime (<span><math><mrow><mi>γ</mi><mo>=</mo><mo>−</mo><mn>1</mn></mrow></math></span>), with key thermodynamic quantities evaluated across a range of temperature ratios, magnetic field strengths, and coupling asymmetries. The mean energy landscape reveals a strong dependence on the anisotropy parameter, highlighting quantum coherence effects and spin alignment. The operational phase space is mapped, showing distinct transitions between heat engine, refrigerator, and heater modes, with <span><math><mrow><mi>γ</mi><mo>=</mo><mo>+</mo><mn>1</mn></mrow></math></span> exhibiting the broadest mode diversity and <span><math><mrow><mi>γ</mi><mo>=</mo><mo>−</mo><mn>1</mn></mrow></math></span> yielding robust engine-like behavior. Thermodynamic quantities such as heat exchange and work output are analyzed, showing mode transitions driven by magnetic field tuning. Efficiency, refrigeration performance (ε), and the refined performance coefficient (Π) are presented, revealing intricate dependencies on system parameters. Anisotropic spin coupling is shown to enhance thermodynamic responsiveness, while strong magnetic fields induce saturation and performance decline due to level polarization. The results demonstrated that quantum many-body interactions, when properly tuned, could be harnessed to optimize the design of nanoscale heat engines, refrigerators, and other quantum thermal devices.</div></div>","PeriodicalId":20152,"journal":{"name":"Physica A: Statistical Mechanics and its Applications","volume":"686 ","pages":"Article 131313"},"PeriodicalIF":3.1,"publicationDate":"2026-03-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146081888","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

Driving risk potential field modeling in heterogeneous traffic flow with applications to motorcycle car-following analysis 异构交通流驾驶风险势场建模及其在摩托车跟驰分析中的应用

IF 3.1 3区物理与天体物理

Physica A: Statistical Mechanics and its Applications Pub Date : 2026-03-15 Epub Date: 2026-02-02 DOI: 10.1016/j.physa.2026.131355

Ru Ling , Hong Guo , Hang Liu , Zhibin Li

{"title":"Driving risk potential field modeling in heterogeneous traffic flow with applications to motorcycle car-following analysis","authors":"Ru Ling , Hong Guo , Hang Liu , Zhibin Li","doi":"10.1016/j.physa.2026.131355","DOIUrl":"10.1016/j.physa.2026.131355","url":null,"abstract":"<div><div>In the highway scenario, this study develops a heterogeneous traffic flow driving risk potential field model that accounts for both motorcycles and passenger cars. Considering the smaller size and higher maneuverability of motorcycles, we propose a motorcycle-specific driving risk potential field based on their geometric features and dynamic attributes. The model consists of a two-layer structure: (1) a scalar potential field that characterizes the spatial distribution of quantified risk; (2) a force field (vector field) derived from the potential gradients that describes the risk interaction and mutual influence among traffic participants. On this basis, we design a motorcycle trajectory prediction and simulation scheme grounded in the proposed model to analyze and investigate their car-following behavior in heterogeneous traffic flow. The results indicate that motorcycle car-following behavior is characterized by shorter following durations, smaller following distances, and narrower headway gaps. Due to their heightened risk perception and agile maneuverability, motorcycles exhibit relatively high motion noise during car-following maneuvers. The simulation results based on the proposed driving risk potential field effectively capture the interactions between vehicles, thereby achieving simulation of motorcycle motion states and driving trajectories with an average error of less than 1.8 m, demonstrating high accuracy and efficiency. These findings further confirm the significant potential of risk potential field modeling in real-time traffic risk perception and trajectory prediction, showing promise as a theoretical framework for autonomous driving in complex and mixed traffic environments.</div></div>","PeriodicalId":20152,"journal":{"name":"Physica A: Statistical Mechanics and its Applications","volume":"686 ","pages":"Article 131355"},"PeriodicalIF":3.1,"publicationDate":"2026-03-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147385816","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

Dynamics of the Kac Ring Model with switching scatterers 具有开关散射体的Kac环模型动力学

IF 3.1 3区物理与天体物理

Physica A: Statistical Mechanics and its Applications Pub Date : 2026-03-15 Epub Date: 2026-01-31 DOI: 10.1016/j.physa.2026.131347

Leonid A. Bunimovich , Emilio N.M. Cirillo , Matteo Colangeli , Lamberto Rondoni

{"title":"Dynamics of the Kac Ring Model with switching scatterers","authors":"Leonid A. Bunimovich , Emilio N.M. Cirillo , Matteo Colangeli , Lamberto Rondoni","doi":"10.1016/j.physa.2026.131347","DOIUrl":"10.1016/j.physa.2026.131347","url":null,"abstract":"<div><div>We introduce a generalized version of the Kac ring model in which particles are of two types, black and white. Black particles modify the environment through which all particles move, thereby inducing indirect and potentially long-range interactions among them. Unlike the inert scatterers of Kac’s original model, the scatterers in our setting possess internal states that change upon interaction with black particles and can be interpreted as energy levels of the environment. This makes the model self-consistent, as it incorporates a form of particle interactions, mediated by the environment, that drives the system toward some kind of stationary state. Although indirect and long-range interactions do not typically promote thermodynamic states, interactions are necessary for energy to play a role and be shared among the elementary constituents of matter. Therefore, the inclusion of interactions in our model constitutes a step forward in the description of a macroscopic system in terms of its microscopic constituents. We find that any initial state of the system converges to a time periodic state (i.e. a phase space orbit) and describe basins of attraction for some of such asymptotic periodic states.</div></div>","PeriodicalId":20152,"journal":{"name":"Physica A: Statistical Mechanics and its Applications","volume":"686 ","pages":"Article 131347"},"PeriodicalIF":3.1,"publicationDate":"2026-03-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147385895","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

Robust minimax probability machines with entropy-distance Universum 具有熵距Universum的鲁棒极大极小概率机

IF 3.1 3区物理与天体物理

Physica A: Statistical Mechanics and its Applications Pub Date : 2026-03-13 DOI: 10.1016/j.physa.2026.131468

Xin Yan , Yutong Zhang , Hongmiao Zhu , LiangLiang Liu

{"title":"Robust minimax probability machines with entropy-distance Universum","authors":"Xin Yan , Yutong Zhang , Hongmiao Zhu , LiangLiang Liu","doi":"10.1016/j.physa.2026.131468","DOIUrl":"10.1016/j.physa.2026.131468","url":null,"abstract":"<div><div>Minimax probability machine is a binary classification model that minimizes the worst-case probability of misclassification. This paper introduces a robust variant of minimax probability machine integrated with Universum learning. Unlike conventional methods, the proposed approach not only operates without distributional assumptions while offering a theoretical lower bound on classification accuracy, but also leverages prior information contained in Universum samples to enhance classification performance. Additionally, a novel Universum sample selection strategy, which primarily relies on an entropy-distance criterion and additionally considers an In-Between-Universum measure, is proposed. The proposed model corresponds to an optimization problem with probability constraints, which is reformulated as a second-order cone programming problem. The model is also extended to handle nonlinearly separable datasets. Numerical experiments on both synthetic and benchmark datasets demonstrate that the proposed model achieves superior classification performance, and further validate the effectiveness of the new Universum selection strategy that incorporates the entropy-distance criterion.</div></div>","PeriodicalId":20152,"journal":{"name":"Physica A: Statistical Mechanics and its Applications","volume":"692 ","pages":"Article 131468"},"PeriodicalIF":3.1,"publicationDate":"2026-03-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147614002","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

Linear quantum discord and entanglement in qubit–qutrit systems under Non-Markovian colored noise dephasing 非马尔可夫色噪声消相下量子比特-量子系统的线性量子不和谐与纠缠

IF 3.1 3区物理与天体物理

Physica A: Statistical Mechanics and its Applications Pub Date : 2026-03-01 Epub Date: 2026-01-19 DOI: 10.1016/j.physa.2026.131310

M. Abdellaoui , S. Gaidi , A. Slaoui , R. Ahl Laamara

{"title":"Linear quantum discord and entanglement in qubit–qutrit systems under Non-Markovian colored noise dephasing","authors":"M. Abdellaoui , S. Gaidi , A. Slaoui , R. Ahl Laamara","doi":"10.1016/j.physa.2026.131310","DOIUrl":"10.1016/j.physa.2026.131310","url":null,"abstract":"<div><div>In this paper, we introduce a reliable method that uses linear entropy to analyze non-classical correlations in any qubit–qudit quantum state. This approach avoids the complex maximization of classical correlations required when using von Neumann entropy to calculate quantum discord. We then explore the dynamics of this quantum discord measure, as well as entanglement quantified via logarithmic negativity and measurement-induced disturbance, in qubit–qutrit systems under the influence of a non-Markovian dephasing channel with colored noise. Our results reveal how system parameters and noise properties influence the degradation of quantum correlations. Notably, we demonstrate the robustness of certain correlation measures under non-Markovian noise and emphasize the role of system dimensionality in maintaining quantum coherence. These findings offer valuable insights into the resilience of quantum correlations in noisy environments and open avenues for future research, such as extending the analysis to higher-dimensional systems or exploring other types of noise channels, thus contributing to the broader understanding of quantum systems in real-world applications.</div></div>","PeriodicalId":20152,"journal":{"name":"Physica A: Statistical Mechanics and its Applications","volume":"685 ","pages":"Article 131310"},"PeriodicalIF":3.1,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146024806","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

Gauge theory approach to describe ice crystals habit evolution for ice clouds radiative transfer modeling 规范理论描述冰晶习惯演化的方法用于冰云辐射传输建模

IF 3.1 3区物理与天体物理

Physica A: Statistical Mechanics and its Applications Pub Date : 2026-03-01 Epub Date: 2026-01-22 DOI: 10.1016/j.physa.2026.131312

Gianluca Di Natale , Francesco Pio De Cosmo , Leandro Cieri

{"title":"Gauge theory approach to describe ice crystals habit evolution for ice clouds radiative transfer modeling","authors":"Gianluca Di Natale , Francesco Pio De Cosmo , Leandro Cieri","doi":"10.1016/j.physa.2026.131312","DOIUrl":"10.1016/j.physa.2026.131312","url":null,"abstract":"<div><div>Ice clouds, particularly cirrus, play a crucial role in Earth’s radiative balance, yet remain poorly represented in current climate models. A major source of uncertainty stems from the variability of their microphysical properties, especially the shape of ice crystals. In this paper, we propose a heuristic framework to describe the evolution of four main crystal habits — droxtals, plates, columns, and rosettes — commonly identified in situ observations and widely adopted in radiative transfer simulations. Rather than predicting the exact final morphology of individual crystals, our approach aims to assess the likelihood that, at a given time and under specified thermodynamic conditions, a crystal will most closely correspond to one of these canonical shapes used in cirrus modeling. In this study, we establish the theoretical foundations of this new approach by employing a non-Abelian gauge theory within a field-theoretical framework. Specifically, we impose an SU(2)<span><math><mo>⊗</mo></math></span>U(1) symmetry on the fields associated with the probability of habit growth. This symmetry leads to a modified system of coupled Fokker–Planck equations, which capture the stochastic dynamics of ice crystal growth while incorporating phenomenological interactions among different habits. Our framework thus outlines a novel theoretical direction for integrating symmetry principles and field-theoretical tools into the modeling of habit dynamics in ice clouds. At this stage, numerical solutions of the proposed equations have not yet been implemented; developing and validating these with experimental data represents the next step of this research.</div></div>","PeriodicalId":20152,"journal":{"name":"Physica A: Statistical Mechanics and its Applications","volume":"685 ","pages":"Article 131312"},"PeriodicalIF":3.1,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146024809","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

Disentangling childhood asthma risk structure via Bayesian network topology 基于贝叶斯网络拓扑的儿童哮喘风险结构分析

IF 3.1 3区物理与天体物理

Physica A: Statistical Mechanics and its Applications Pub Date : 2026-03-01 Epub Date: 2026-01-15 DOI: 10.1016/j.physa.2026.131306

Changgui Gu , Huize Ge , Haiying Wang , Chanjuan Sun , Huijie Yang

{"title":"Disentangling childhood asthma risk structure via Bayesian network topology","authors":"Changgui Gu , Huize Ge , Haiying Wang , Chanjuan Sun , Huijie Yang","doi":"10.1016/j.physa.2026.131306","DOIUrl":"10.1016/j.physa.2026.131306","url":null,"abstract":"<div><div>Asthma is a complex chronic respiratory disease that involves intricate interactions among indoor air pollution, allergen exposure, and multiple comorbidities. Traditional statistical methods often fail to capture dependencies among risk factors in nonlinear, multifactorial relationships. To address this, we employ a Bayesian network model from a network science perspective to represent probabilistic dependencies via a directed acyclic graph and conditional probability tables, enabling comprehensive analysis of dependency patterns and community structures. Community detection reveals four distinct modules, which yield a modularity of 0.59. Additionally, we develop a novel quantitative assessment system to rank environmental factors based on their relative contributions to asthma risk. Among individuals with allergic tendencies, changes in cleaning habits were linked to the highest increase in predicted asthma risk, reaching 7.64%. Paradoxically, this behavioral change appears to elevate asthma risk. Furthermore, the combined effect of cleaning habit modification and pet avoidance demonstrates significant synergy, providing valuable insights for developing early warning systems and targeted preventive strategies.</div></div>","PeriodicalId":20152,"journal":{"name":"Physica A: Statistical Mechanics and its Applications","volume":"685 ","pages":"Article 131306"},"PeriodicalIF":3.1,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145980821","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