Physical review. E最新文献

{"title":"Hyperbolic embedding of brain networks detects regions disrupted by neurodegeneration in Alzheimer's disease.","authors":"Alice Longhena, Martin Guillemaud, Fabrizio De Vico Fallani, Raffaella Migliaccio, Mario Chavez","doi":"10.1103/PhysRevE.111.044402","DOIUrl":"https://doi.org/10.1103/PhysRevE.111.044402","url":null,"abstract":"<p><p>Graph-theoretical methods have proven valuable for investigating alterations in both anatomical and functional brain connectivity networks during Alzheimer's disease (AD). Recent studies suggest that representing brain networks in a suitable geometric space can better capture their connectivity structure. This study introduces a novel approach to characterize brain connectivity changes using low-dimensional, informative representations of networks in a latent geometric space. Specifically, the networks are embedded in a polar representation of the hyperbolic plane, the hyperbolic disk. Here, we used a geometric score, entirely based on the computation of distances between nodes in the latent space, to measure the effect of a perturbation on the nodes. Precisely, the score is a local measure of distortion in the geometric neighborhood of a node following a perturbation. The method is applied to a brain network dataset of patients with AD and healthy participants, derived from diffusion-weighted (DWI) and functional magnetic resonance (fMRI) imaging scans. We show that, compared with standard graph measures, our method more accurately identifies the brain regions most affected by neurodegeneration. Notably, the abnormalities detected in memory-related and frontal areas are robust across multiple brain parcellation scales. Finally, our findings suggest that the geometric perturbation score could serve as a potential biomarker for characterizing the progression of the disease.</p>","PeriodicalId":20085,"journal":{"name":"Physical review. E","volume":"111 4-1","pages":"044402"},"PeriodicalIF":2.4,"publicationDate":"2025-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144136181","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}

{"title":"Absolute negative mobility of an inertial deformable particle under steady laminar flows.","authors":"Fu-Jun Lin, Jia-le Wu, Wei Lin, Jing-Jing Liao","doi":"10.1103/PhysRevE.111.045407","DOIUrl":"https://doi.org/10.1103/PhysRevE.111.045407","url":null,"abstract":"<p><p>The transport behavior of an inertial deformable particle in a two-dimensional steady laminar flow is numerically analyzed under the influence of a constant force and a periodic potential. By systematically adjusting parameters such as phase difference, target area, potential height, constant force, shape parameter, diffusion coefficient, and Stokes time, we analyze the effects on particle motion and the emergence of absolute negative mobility (ANM). Our results reveal that smaller target areas and moderate potential heights maximize ANM, while increased external force and extreme diffusion or inertia reduce it. We identify an optimal parameter range where negative mobility is most prominent, providing insights relevant to applications in fields like microfluidics and soft robotics.</p>","PeriodicalId":20085,"journal":{"name":"Physical review. E","volume":"111 4-2","pages":"045407"},"PeriodicalIF":2.4,"publicationDate":"2025-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144136207","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}

{"title":"Two-dimensional dynamics and microstructure of dense suspensions of ideally polarizable particles in an electric field: The nontrivial effect of confinement.","authors":"Seyed Mohammad Hosseini, Siamak Mirfendereski, Jae Sung Park","doi":"10.1103/PhysRevE.111.045104","DOIUrl":"https://doi.org/10.1103/PhysRevE.111.045104","url":null,"abstract":"<p><p>The dynamics and microstructure of two-dimensional suspensions of ideally polarizable particles in an electric field are studied using large-scale numerical simulations. The particles are assumed to carry no net charge and thus known to undergo a nonlinear electrokinetic phenomenon termed dipolophoresis-the combination of dielectrophoresis and induced-charge electrophoresis. For ideally polarizable particles, the effect of induced-charge electrophoresis is dominant, which results in chaotic and diffusive motions. Up to an area fraction ϕ≈50%, the diffusive particle dynamics get hindered due to increasing excluded volume interactions. At ϕ=50%, the suspension intermittently exhibits a nearly frozen state, resembling a static equilibrium state, which arises only at this area fraction. A nonmonotonic behavior is then observed in the suspension dynamics, where the hydrodynamic diffusivity starts to increase with the area fraction and reaches a local maximum at ϕ=60% before decreasing again as approaching random close packing. We illuminate this nonmonotonic suspension dynamics in connection to the transition in particle contact mechanisms and suspension microstructure. Furthermore, the effects of confinement on suspension dynamics and microstructure are examined, where another nonmonotonic and nontrivial behavior arises in terms of the level of confinement. Upon increasing confinement, velocity fluctuations indeed increase compared to its unbounded values and reach a maximum at moderate confinement before getting diminished at extreme confinement. This nonmonotonic and nontrivial behavior is the most prominent at ϕ=50%. We explain the nonmonotonic behavior as a consequence of symmetry breaking in particle interactions due to confinement, resulting in suspension instability. The confinement-induced instability causes the emergence of coherent vortical structures that lead to the formation of layering microstructure. The confinement-induced effects are well correlated with the level of chaos in a suspension. These results can offer the potential use of confinement to effectively manipulate such suspensions.</p>","PeriodicalId":20085,"journal":{"name":"Physical review. E","volume":"111 4-2","pages":"045104"},"PeriodicalIF":2.4,"publicationDate":"2025-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144136215","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}

{"title":"Coherent puff and slugs in transitional drift-wave turbulence.","authors":"P Manz, S Knauer, C Moon, N Fahrenkamp, D Di Matteo, A Fujisawa","doi":"10.1103/PhysRevE.111.045203","DOIUrl":"https://doi.org/10.1103/PhysRevE.111.045203","url":null,"abstract":"<p><p>The long-term development of the transitional regime of drift-wave turbulence is studied in a magnetized plasma column by means of the conditional-average technique. In the transitional regime, small changes in the magnetic-field strength as control parameter lead to large changes in the correlation times, indicating the existence of a critical point of an underlying nonequilibrium continuous phase transition. This and the spatiotemporal dynamics shows similarities to puff splitting, slug-gap splitting, and puff jamming.</p>","PeriodicalId":20085,"journal":{"name":"Physical review. E","volume":"111 4-2","pages":"045203"},"PeriodicalIF":2.4,"publicationDate":"2025-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144136217","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}

{"title":"Universal scaling solution for a rigidity transition: Renormalization group flows near the upper critical dimension.","authors":"Stephen J Thornton, Itai Cohen, James P Sethna, Danilo B Liarte","doi":"10.1103/PhysRevE.111.045508","DOIUrl":"https://doi.org/10.1103/PhysRevE.111.045508","url":null,"abstract":"<p><p>Rigidity transitions induced by the formation of system-spanning disordered rigid clusters, like the jamming transition, can be well described in most physically relevant dimensions by mean-field theories. A dynamical mean-field theory commonly used to study these transitions, the coherent potential approximation (CPA), shows logarithmic corrections in two dimensions. By solving the theory in arbitrary dimensions and extracting the universal scaling predictions, we show that these logarithmic corrections are a symptom of an upper critical dimension d_{upper}=2, below which the critical exponents are modified. We recapitulate Ken Wilson's phenomenology of the (4-ε)-dimensional Ising model, but with the upper critical dimension reduced to 2. We interpret this using normal form theory as a transcritical bifurcation in the RG flows and extract the universal nonlinear coefficients to make explicit predictions for the behavior near two dimensions. This bifurcation is driven by a variable that is dangerously irrelevant in all dimensions d>2 which incorporates the physics of long-wavelength phonons and low-frequency elastic dissipation. We derive universal scaling functions from the CPA sufficient to predict all linear response in randomly diluted isotropic elastic systems in all dimensions.</p>","PeriodicalId":20085,"journal":{"name":"Physical review. E","volume":"111 4-2","pages":"045508"},"PeriodicalIF":2.4,"publicationDate":"2025-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144136249","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}

{"title":"Phase versus coin versus position disorder as a probe for the resilience and revival of single-particle entanglement in cyclic quantum walks.","authors":"Dinesh Kumar Panda, Colin Benjamin","doi":"10.1103/PhysRevE.111.L042103","DOIUrl":"https://doi.org/10.1103/PhysRevE.111.L042103","url":null,"abstract":"<p><p>Quantum states exhibiting single-particle entanglement (SPE) can encode and process quantum information more robustly than their multiparticle analogs. Understanding the vulnerability and resilience of SPE to disorder is therefore crucial. This letter investigates phase, coin, and position disorder via discrete-time quantum walks on odd and even cyclic graphs to study their effect on SPE. The reduction in SPE is insignificant for low levels of phase or coin disorder, showing the resilience of SPE to minor perturbations. However, SPE is seen to be more vulnerable to position disorder. We analytically prove that maximally entangled single-particle states (MESPS) at time step t=1 are impervious to phase disorder regardless of the choice of the initial state. Further, MESPS at timestep t=1 is also wholly immune to coin disorder for phase-symmetric initial states. Position disorder breaks odd-even parity and distorts the physical time cone of the quantum walker, unlike phase or coin disorder. SPE saturates toward a fixed value for position disorder, irrespective of the disorder strength at large timestep t. Furthermore, SPE can be enhanced with moderate to significant phase or coin disorder strengths at specific time steps. Interestingly, disorder can revive single-particle entanglement from absolute zero in some instances, too. These results are crucial in understanding single-particle entanglement evolution and dynamics in a laboratory setting.</p>","PeriodicalId":20085,"journal":{"name":"Physical review. E","volume":"111 4","pages":"L042103"},"PeriodicalIF":2.4,"publicationDate":"2025-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144136297","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}

{"title":"Interpretability versus performance of analytical and neural-network-based permeability prediction models: Exploring separability, monotonicity, and dimensional consistency.","authors":"Erik Jansson, Magnus Röding","doi":"10.1103/PhysRevE.111.045509","DOIUrl":"https://doi.org/10.1103/PhysRevE.111.045509","url":null,"abstract":"<p><p>Effective mass transport properties of porous materials, such as permeability, are heavily influenced by their three-dimensional microstructure. There are numerous models developed for the prediction of permeability from microstructural characteristics, ranging from straightforward analytical relationships to high-performing machine learning models based on neural networks. There is an inherent tradeoff between predictive performance and interpretability; analytical models do not provide the best predictive performance but are relatively simple to understand. Neural networks, on the other hand, provide better predictive performance but are harder to interpret. In this paper, we investigate a multitude of models on the performance-versus-interpretability spectrum. Specifically, we use a dataset of 90000 microstructures developed elsewhere and consider the prediction of permeability using the microstructural descriptors porosity, specific surface area, and geodesic tortuosity. At the respective ends of the spectrum, we study analytical, power-law-type models and fully connected neural networks. In between, we study neural networks that are either separable, monotonic, or both separable and monotonic. Establishing monotonic relationships is particularly interesting considering the potential for solving the inverse microstructure design problem using gradient-based methods. In addition, we study versions of these models that are consistent and inconsistent in terms of physical dimension.</p>","PeriodicalId":20085,"journal":{"name":"Physical review. E","volume":"111 4-2","pages":"045509"},"PeriodicalIF":2.4,"publicationDate":"2025-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144136392","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}

{"title":"Modeling of warm dense hydrogen via explicit real-time electron dynamics: Electron transport properties.","authors":"Pontus Svensson, Patrick Hollebon, Daniel Plummer, Sam M Vinko, Gianluca Gregori","doi":"10.1103/PhysRevE.111.045208","DOIUrl":"https://doi.org/10.1103/PhysRevE.111.045208","url":null,"abstract":"<p><p>We extract electron transport properties from atomistic simulations of a two-component plasma by mapping the long-wavelength behavior to a two-fluid model. The mapping procedure is performed via Markov Chain Monte Carlo sampling over multiple spectra simultaneously. The free-electron dynamic structure factor and its properties have been investigated in the hydrodynamic formulation to justify its application to the long-wavelength behavior of warm dense matter. We have applied this method to warm dense hydrogen modeled with wave packet molecular dynamics and showed that the inferred electron transport properties are in agreement with a variety of reference calculations, except for the electron viscosity, where a substantive decrease is observed when compared to classical models.</p>","PeriodicalId":20085,"journal":{"name":"Physical review. E","volume":"111 4-2","pages":"045208"},"PeriodicalIF":2.4,"publicationDate":"2025-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144136441","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}

{"title":"Structure of superscars in a pseudointegrable right-triangular billiard.","authors":"Zhen-Qi Chen, Rui-Hua Ni, Yalei Song, Hong-Ya Xu, Liang Huang","doi":"10.1103/PhysRevE.111.044137","DOIUrl":"https://doi.org/10.1103/PhysRevE.111.044137","url":null,"abstract":"<p><p>Superscars are quantum eigenstates that are localized in an extended region of a family of parallel periodic orbits. They are prevalent in pseudointegrable systems. Here we consider a pseudo-integrable right-triangular quantum billiard with an acute angle π/5 as an example. In the configuration space, we identify and explain a fringe structure of superscar eigenstates originating from a correlation between the two quantum numbers imposed by the sign change rule of the wave function during unfolding. In the wave-vector space, we unveil unique characteristics of the peaks for superscar states, and in return, exploit these features to determine the family of periodic orbits and the corresponding quantum numbers without ambiguity. We also find that the eigenstates can be superpositions not only of superscar modes corresponding to different families of periodic orbits, but also of superscar modes corresponding to the same family but with different sets of quantum numbers, which poses a challenge for conventional approaches in identifying the superscar modes but can be addressed properly by our analysis. These results are also applicable to superscar states in other pseudointegrable systems.</p>","PeriodicalId":20085,"journal":{"name":"Physical review. E","volume":"111 4-1","pages":"044137"},"PeriodicalIF":2.4,"publicationDate":"2025-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144136529","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}

{"title":"Uncertainties in signal recovery from heterogeneous and convoluted time series with principal component analysis.","authors":"Mariia Legenkaia, Laurent Bourdieu, Rémi Monasson","doi":"10.1103/PhysRevE.111.044314","DOIUrl":"https://doi.org/10.1103/PhysRevE.111.044314","url":null,"abstract":"<p><p>Principal component analysis (PCA) is one of the most used tools for extracting low-dimensional representations of data, in particular for time series. Performances are known to strongly depend on the quality (amount of noise) and the quantity of data. We here investigate the impact of heterogeneities, often present in real data, on the reconstruction of low-dimensional trajectories and of their associated modes. We focus in particular on the effects of sample-to-sample fluctuations and of component-dependent temporal convolution and noise in the measurements. We derive analytical predictions for the error on the reconstructed trajectory and the confusion between the modes using the replica method in a high-dimensional setting, in which the number and the dimension of the data are comparable. We find in particular that sample-to-sample variability is deleterious for the reconstruction of the signal trajectory, but beneficial for the inference of the modes, and that the fluctuations in the temporal convolution kernels prevent perfect recovery of the latent modes even for very weak measurement noise. Our predictions are corroborated by simulations with synthetic data for a variety of control parameters.</p>","PeriodicalId":20085,"journal":{"name":"Physical review. E","volume":"111 4-1","pages":"044314"},"PeriodicalIF":2.4,"publicationDate":"2025-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144135934","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}