Physical Review E最新文献_第10页

Flow dynamics of different particle shapes in a rectangular silo.

IF 2.2 3区物理与天体物理

Physical Review E Pub Date : 2025-02-01 DOI: 10.1103/PhysRevE.111.025416

Muhammad Ahmed Hanif, Devaraj van der Meer

引用次数: 0

Spin-S Ising models with multispin interactions on the one-dimensional chain and two-dimensional square lattice.

IF 2.2 3区物理与天体物理

Physical Review E Pub Date : 2025-02-01 DOI: 10.1103/PhysRevE.111.024132

Kohei Suzuki

{"title":"Spin-S Ising models with multispin interactions on the one-dimensional chain and two-dimensional square lattice.","authors":"Kohei Suzuki","doi":"10.1103/PhysRevE.111.024132","DOIUrl":"https://doi.org/10.1103/PhysRevE.111.024132","url":null,"abstract":"We study spin-S Ising models with p-spin interactions on the one-dimensional chain and the two-dimensional square lattice. Here, S denotes the magnitude of the spin and p represents the number of spins involved in each interaction. The analysis is performed for S=1/2,1,3/2,2, and p=3,4,5. For the one-dimensional model, we formulate transfer matrices and numerically diagonalize them to analyze the temperature dependence of the free energy and spin-spin correlations. In the case of S=1/2, the free energy does not depend on p, and the spin-spin correlations are uniformly enhanced across all temperature scales as p increases. In contrast, for S≥1, the free energy varies with p, and the spin-spin correlations are significantly enhanced at lower temperatures as p increases. For the two-dimensional model, by using multicanonical simulations, we analyze physical quantities such as an order parameter, internal energy, and specific heat. In addition, we define and examine an order parameter to distinguish ordered and disordered phases. It is found that a first-order phase transition occurs at finite temperatures for all S and p≥3, and increasing p strengthens its nature. We present S and p dependence of the transition temperature and latent heat, and discuss effects of higher-order interactions on the nature of phase transitions.","PeriodicalId":48698,"journal":{"name":"Physical Review E","volume":"111 2-1","pages":"024132"},"PeriodicalIF":2.2,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143659274","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

Study of the operator product expansion in critical dynamics.

IF 2.2 3区物理与天体物理

Physical Review E Pub Date : 2025-02-01 DOI: 10.1103/PhysRevE.111.024119

C Pagani, J Sobieray

引用次数: 0

Calibrating coupling for collaboration with Kuramoto.

IF 2.2 3区物理与天体物理

Physical Review E Pub Date : 2025-02-01 DOI: 10.1103/PhysRevE.111.024314

Alexander C Kalloniatis, Timothy McLennan-Smith

引用次数: 0

First-order transition and marginal critical behavior in a two-dimensional frustrated Ising model with efficient tensor-network implementation.

IF 2.2 3区物理与天体物理

Physical Review E Pub Date : 2025-02-01 DOI: 10.1103/PhysRevE.111.024109

Christophe Chatelain

引用次数: 0

Attosecond gamma-ray flashes and electron-positron pairs in dyadic laser interaction with microwire.

IF 2.2 3区物理与天体物理

Physical Review E Pub Date : 2025-02-01 DOI: 10.1103/PhysRevE.111.025201

P Hadjisolomou, T M Jeong, P Valenta, A J Macleod, R Shaisultanov, C P Ridgers, S V Bulanov

引用次数: 0

Navigating uncertainty: Risk-averse versus risk-prone strategies in populations facing demographic and environmental stochasticity.

IF 2.2 3区物理与天体物理

Physical Review E Pub Date : 2025-02-01 DOI: 10.1103/PhysRevE.111.024118

Rubén Calvo, Miguel A Muñoz, Tobias Galla

{"title":"Navigating uncertainty: Risk-averse versus risk-prone strategies in populations facing demographic and environmental stochasticity.","authors":"Rubén Calvo, Miguel A Muñoz, Tobias Galla","doi":"10.1103/PhysRevE.111.024118","DOIUrl":"https://doi.org/10.1103/PhysRevE.111.024118","url":null,"abstract":"Strategies aimed at reducing the negative effects of long-term uncertainty and risk are common in biology, game theory, and finance, even if they entail a cost in terms of mean benefit. Here, we focus on the single mutant's invasion of a finite resident population subject to fluctuating environmental conditions. Thus, the game-theoretical model we analyze integrates environmental and demographic randomness, i.e., the two leading sources of stochasticity and uncertainty. We use simulations and mathematical analysis to study if and when strategies that either increase or reduce payoff variance across environmental states can enhance the mutant fixation probability. Variance aversion implies that the mutant pays insurance in terms of mean payoff to avoid worst-case scenarios. Variance-prone or gambling strategies, on the other hand, entail specialization, allowing the mutant to capitalize on transient favorable conditions, leading to a series of \"boom-and-bust\" cycles. Our analyses elucidate how the rate of change of environmental conditions and the shape of the probability distribution of possible states affect the possible most convenient strategies. We discuss how our results relate to the bet-hedging theory, which aims to reduce fitness variance rather than payoff variance. We also describe the analogies and differences between these similar yet distinct approaches.","PeriodicalId":48698,"journal":{"name":"Physical Review E","volume":"111 2-1","pages":"024118"},"PeriodicalIF":2.2,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143659148","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

Inception and growth of an electrodeless atmospheric double-headed streamer.

IF 2.2 3区物理与天体物理

Physical Review E Pub Date : 2025-02-01 DOI: 10.1103/PhysRevE.111.L023202

S Iseni, G B Sretenović, V V Kovačević, N Bonifaci, C Pichard, C Cachoncinlle, A Khacef

{"title":"Inception and growth of an electrodeless atmospheric double-headed streamer.","authors":"S Iseni, G B Sretenović, V V Kovačević, N Bonifaci, C Pichard, C Cachoncinlle, A Khacef","doi":"10.1103/PhysRevE.111.L023202","DOIUrl":"https://doi.org/10.1103/PhysRevE.111.L023202","url":null,"abstract":"Gas discharge physics is particularly helpful to study many spectacular aspects of atmospheric electricity, e.g., lightning and sprite streamers. However, the observations of double-headed streamers (DHS) in nature-formed after the breakdown-remain an open question. Considering that the topic of DHS has been studied exclusively through theoretical and numerical models, this Letter presents the very first experimental model of DHS. Here, a primary plasma jet device operated at ground pressure is used to ignite a DHS in laboratory-scale experiments. This fundamental experimental model employs a noble gas flow (helium or neon) that expands freely and mixes with ambient air. The growth of the positive and the negative head was observed to originate from an isolated ionized column, directly confirming the previously published theoretical study. The high predictability and stability of the discharge allow advanced characterization diagnostics such as the Stark effect from which the electric field was measured along the discharge axis. This investigation indicates that a DHS can ignite in subbreakdown conditions and reveals the crucial role of the preionization phase. The consistency of these findings with some modeling studies on the topic will shed light on fundamental elementary processes in atmospheric electricity.","PeriodicalId":48698,"journal":{"name":"Physical Review E","volume":"111 2","pages":"L023202"},"PeriodicalIF":2.2,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143659172","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

Efficient optimization of variational autoregressive networks with natural gradient.

IF 2.2 3区物理与天体物理

Physical Review E Pub Date : 2025-02-01 DOI: 10.1103/PhysRevE.111.025304

Jing Liu, Ying Tang, Pan Zhang

{"title":"Efficient optimization of variational autoregressive networks with natural gradient.","authors":"Jing Liu, Ying Tang, Pan Zhang","doi":"10.1103/PhysRevE.111.025304","DOIUrl":"https://doi.org/10.1103/PhysRevE.111.025304","url":null,"abstract":"Estimating free energy is a fundamental problem in statistical mechanics. Recently, machine-learning-based methods, particularly the variational autoregressive networks (VANs) have been proposed to minimize variational free energy and to approximate the Boltzmann distribution. VAN enjoys notable advantages, including the exact computation of the normalized joint distribution and fast sampling, which are critical features often missing in Markov chain Monte Carlo algorithms. However, VAN also faces significant computational challenges. These include difficulties in the optimization of variational free energy in a complicated parameter space and slow convergence of learning. In this work, we introduce an optimization technique based on natural gradients to the VAN framework, namely ng-VAN, to enhance the learning efficiency and accuracy of the conventional VAN. The method has computational complexity cubic in the batch size rather than in the number of model parameters, hence it can be efficiently implemented for a large VAN model. We carried out extensive numerical experiments on the Sherrington-Kirkpatrick model, spin glasses on random graphs, and the two-dimensional Ising model. Our results indicate that compared with the conventional VAN, ng-VAN significantly improves the accuracy in estimating free energy and converges much faster with shorter learning time. This allows extending the VAN framework's applicability to challenging statistical mechanics problems that were previously not accessible.","PeriodicalId":48698,"journal":{"name":"Physical Review E","volume":"111 2-2","pages":"025304"},"PeriodicalIF":2.2,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143659173","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

Probabilistic approach for estimation of binding rate constants for clusters of targets.

IF 2.2 3区物理与天体物理

Physical Review E Pub Date : 2025-02-01 DOI: 10.1103/PhysRevE.111.024401

Boris P Belotserkovskii

引用次数: 0