Article
Physics, Multidisciplinary
Salambo Dago, Ludovic Bellon
Summary: This study investigates the energy exchanges during erasure processes and the cost of fast operations. It reveals that fast operations require an overhead to Landauer's bound, mainly due to dissipation in the overdamped regime and heating of the memory in the underdamped regime.
PHYSICAL REVIEW LETTERS
(2022)
Article
Physics, Multidisciplinary
Samuel Hidalgo-Caballero, Surabhi Kottigegollahalli Sreenivas, Vincent Bacot, Sander Wildeman, Maxime Harazi, Xiaoping Jia, Arnaud Tourin, Mathias Fink, Alvaro Cassinelli, Matthieu Labousse, Emmanuel Fort
Summary: This article presents a counterintuitive concept of achieving time reversal of waves by using a transitory dissipation pulse. By applying sudden and strong damping in a limited time, a time-reversed wave can be generated. In the case of high damping shock, the initial wave freezes by maintaining the wave amplitude and cancelling its time derivative, resulting in two counterpropagating waves with halved amplitude and opposite time evolutions. This damping-based time reversal is demonstrated using phonon waves in a lattice of interacting magnets on an air cushion, and computer simulations show its applicability to broadband time reversal in complex disordered systems.
PHYSICAL REVIEW LETTERS
(2023)
Article
Physics, Multidisciplinary
Laura Guislain, Eric Bertin
Summary: We propose a mean-field theory to describe the non-equilibrium phase transition to a spontaneously oscillating state in spin models. The non-equilibrium generalization of the Landau free energy is obtained from the joint distribution of magnetization and its smoothed stochastic time derivative. The order parameter of the transition is a Hamiltonian, which indicates the onset of oscillations. The Hamiltonian and the non-equilibrium Landau free energy are explicitly determined from the stochastic spin dynamics. The oscillating phase is characterized by a non-trivial overlap distribution reminiscent of continuous replica symmetry breaking, despite the absence of disorder. An explicit kinetic mean-field spin model is used for illustration.
PHYSICAL REVIEW LETTERS
(2023)
Article
Physics, Multidisciplinary
Carlos M. Bustamante, Esteban D. Gadea, Andrew Horsfield, Tchavdar N. Todorov, Mariano C. Gonzalez Lebrero, Damian A. Scherlis
Summary: This study provides an efficient formalism for the dynamical description of radiative decay in electronically excited states, allowing accurate prediction of decay rates and absorption intensities. Time-dependent DFT simulations yield precise excitation lifetimes for C2+, B+, and Be, in agreement with experimental values, expanding the frontiers of quantum dynamics for first-principles simulations of various photophysical phenomena.
PHYSICAL REVIEW LETTERS
(2021)
Article
Physics, Fluids & Plasmas
Richard Gast, Sara A. Solla, Ann Kennedy
Summary: Mean-field theory connects the physiological properties of individual neurons to the emergent dynamics of neural population activity. The Izhikevich single neuron model is capable of representing different neuron types and spiking patterns, making it an optimal candidate for studying brain dynamics in heterogeneous networks. In this study, we derived mean-field equations for networks of all-to-all coupled Izhikevich neurons with varying spiking thresholds, and found that the mean-field model accurately captures the different dynamic regimes and phase transitions of the Izhikevich neuron network.
Article
Physics, Fluids & Plasmas
Ze-Zhou Zhang, Wei Wu
Summary: In this study, we report a nonanalytic behavior of the averaged work done in the Dicke model and the Lipkin-Meshkov-Glick model. It is revealed that work statistics can serve as a signature of the thermal phase transition when the quenched parameters are tuned across the critical line separating two different thermal phases.
Article
Chemistry, Physical
John C. Tully
Summary: Using toy models, this study assesses the performance of the Ehrenfest method for molecular dynamics simulation, particularly when some atomic nuclei are treated classically and others quantum mechanically. When quantum mechanics is applied to certain nuclei, the mass disparity between classical and quantum particles is significantly reduced, leading to substantial effects on accuracy and usefulness.
CHEMICAL PHYSICS LETTERS
(2023)
Article
Mathematics, Applied
Wenpo Yao, Wenli Yao, Rongshuang Xu, Jun Wang
Summary: This paper conducts a systematic comparative analysis of the relationship between time irreversibility (TIR) and amplitude irreversibility (AIR) based on statistical descriptions and numerical simulations. The results show that TIR and AIR are fundamentally different nonequilibrium descriptors and have similar outcomes when used to analyze both model series and real-world signals. Overall, comparative analysis of TIR and AIR contributes to our understanding of nonequilibrium features and broadens the scope of quantitative nonequilibrium measures.
COMMUNICATIONS IN NONLINEAR SCIENCE AND NUMERICAL SIMULATION
(2023)
Article
Mathematics, Applied
Antonio Di Crescenzo, Barbara Martinucci, Serena Spina
Summary: In this article, we investigate a continuous-time Ehrenfest model defined over an extended star graph. The model is defined as a lattice formed by the integers of d semiaxis joined at the origin. We perform a detailed investigation of the transient and asymptotic behavior of this process and obtain a diffusive approximation of the model.
MATHEMATICAL METHODS IN THE APPLIED SCIENCES
(2022)
Article
Mathematics
Xiaofeng Xue
Summary: In this paper, a generalized N-Urn Ehrenfest model is studied, in which balls perform independent random walks between N boxes uniformly laid on [0, 1]. The hydrodynamic limit of the model is derived by scaling the transition rates function, and the empirical measure of the model follows the law of large numbers. Non-equilibrium fluctuation and large deviation principle are also obtained from the hydrodynamic limit.
POTENTIAL ANALYSIS
(2023)
Article
Astronomy & Astrophysics
J. A. S. Lima, J. Santos
Summary: Heat flows from hotter to colder in accordance with the laws of thermodynamics, but the relationship between inertia and weight in general relativity breaks the standard equilibrium condition. The thermal equilibrium condition for a static self-gravitating fluid is heavily dependent on the underlying spacetime geometry, and new equilibrium conditions have been deduced for certain gravity theories. These results suggest that experiments based on heat theory may be used to explore gravity theories and the geometric nature of spacetime structure.
Article
Physics, Fluids & Plasmas
Lianjie He, Andri Pradana, Jian Wei Cheong, Lock Yue Chew
Summary: We study a class of discrete-time information ratchet models and explore their thermodynamic consequences as Maxwell demons. It is found that due to the finite information capacity of the tape, these models cannot sustain the operational regime of an engine or eraser. However, cumulative work can be accrued or expended through successive tape scans, and the ratchets obey the information processing second law at all times.
Article
Physics, Multidisciplinary
Kemal Bidzhiev, Maurizio Fagotti, Lenart Zadnik
Summary: This paper investigates the properties of quantum jammed state and its time evolution. By performing localized measurement in a jammed state, it is found that jamming is locally restored, but local observables exhibit nontrivial time evolution on macroscopic scales, without returning to their initial values.
PHYSICAL REVIEW LETTERS
(2022)
Article
Physics, Multidisciplinary
Salambo Dago, Jorge Pereda, Nicolas Barros, Sergio Ciliberto, Ludovic Bellon
Summary: This study investigates the effects of inertia on the Landauer principle by using an underdamped micromechanical oscillator as a 1-bit memory. The researchers demonstrate both experimentally and theoretically that the Landauer bound can be reached with a 1% uncertainty in underdamped systems, even with protocols as short as 100 ms.
PHYSICAL REVIEW LETTERS
(2021)
Article
Mathematics, Applied
D. S. Almeida Junior, M. M. Freitas, A. J. A. Ramos, A. Soufyane, M. L. Cardoso, A. D. S. Campelo
Summary: In this paper, we study the Timoshenko-Ehrenfest beam models and establish exponential decay results based on the influence of the second spectrum of frequency and its damaging consequences for wave propagation speeds. We prove the exponential decay property of the system and the exponential decay property of the total energy under different assumptions.
COMPUTATIONAL & APPLIED MATHEMATICS
(2022)
Article
Mechanics
Marco Baldovin, Andrea Puglisi, Angelo Vulpiani
JOURNAL OF STATISTICAL MECHANICS-THEORY AND EXPERIMENT
(2018)
Article
Multidisciplinary Sciences
Marco Baldovin, Andrea Puglisi, Angelo Vulpiani
Article
Mechanics
Marco Baldovin, Fabio Cecconi, Angelo Vulpiani
JOURNAL OF STATISTICAL MECHANICS-THEORY AND EXPERIMENT
(2020)
Article
Mechanics
Angelo Vulpiani, Marco Baldovin
JOURNAL OF STATISTICAL MECHANICS-THEORY AND EXPERIMENT
(2020)
Article
Mathematics, Applied
Francesco Borra, Marco Baldovin
Summary: Machine-learning techniques can efficiently model dynamical systems and serve as investigative instruments for underlying physics. These methods can provide nontrivial information about original dynamics and help gain insights into the physics of macroscopic motion. By comparing outcomes from machine-learning approaches and numerical computations, researchers can test the ability to describe nontrivial evolution laws and infer important information about dynamics.
Review
Physics, Multidisciplinary
Marco Baldovin, Stefano Iubini, Roberto Livi, Angelo Vulpiani
Summary: The article discusses the importance of negative absolute temperatures in statistical physics, and the relationship between them and the special properties of physical systems and thermodynamics.
PHYSICS REPORTS-REVIEW SECTION OF PHYSICS LETTERS
(2021)
Article
Biochemistry & Molecular Biology
Fabio Cecconi, Giulio Costantini, Carlo Guardiani, Marco Baldovin, Angelo Vulpiani
Summary: Correlation analysis and principal component analysis are widely used tools for predicting the biological functions of macromolecules. However, these analyses may lead to misinterpretation due to the absence of causation links between elements. In this study, we compared correlation analysis with two other indicators, response function and transfer entropy, to quantify causal dependence using ubiquitin as a benchmark. Our comparison suggests that combining these three analysis methods can help validate the preliminary information obtained from correlation analysis and discard spurious correlations.
Article
Physics, Fluids & Plasmas
Marco Baldovin, David Guery-Odelin, Emmanuel Trizac
Summary: This study focuses on the problem of finding shortcuts to adiabaticity for particles in an external potential governed by Levy stochastic processes. The authors propose an inverse-engineering approach and derive exact equations for the relevant characteristic functions in Fourier space, providing analytical solutions for the broader class of Levy stochastic processes.
Article
Physics, Fluids & Plasmas
M. Baldovin, L. Caprini, A. Vulpiani
Summary: The general formulation of the fluctuation-dissipation relations introduced in this study applies to far-from-equilibrium stochastic dynamics without requiring explicit knowledge of the stationary probability density function. It provides exact results for systems with multiplicative and non-Gaussian noise distributions, such as Cauchy noise, and allows for reproducing response functions of deterministic, strongly nonlinear dynamical models even in the presence of chaotic behavior. The formula has important practical applications in various contexts, including geophysics and climate, as demonstrated by the case study of the Lorenz '63 model.
Article
Physics, Fluids & Plasmas
Camilla Sarra, Marco Baldovin, Angelo Vulpiani
Summary: Entropy production is a proxy for detecting nonequilibrium, but it does not reveal spatial currents or information fluxes in specific elements of the system. Studying transfer entropy and response quantifies the influence of system parts and the asymmetry of fluxes. Numerical investigations show the relationship between entropy production and introduced degrees of asymmetry.
Article
Physics, Multidisciplinary
Marco Baldovin, Fabio Cecconi, Angelo Vulpiani
PHYSICAL REVIEW RESEARCH
(2020)
Article
Physics, Fluids & Plasmas
Marco Baldovin, Angelo Vulpiani, Andrea Puglisi, Antonio Prados
Article
Physics, Fluids & Plasmas
Fabio Miceli, Marco Baldovin, Angelo Vulpiani
Article
Physics, Fluids & Plasmas
Marco Baldovin
Article
Physics, Multidisciplinary
Xiaoyu Shi, Jian Zhang, Xia Jiang, Juan Chen, Wei Hao, Bo Wang
Summary: This study presents a novel framework using offline reinforcement learning to improve energy consumption in road transportation. By leveraging real-world human driving trajectories, the proposed method achieves significant improvements in energy consumption. The offline learning approach demonstrates generalizability across different scenarios.
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS
(2024)
Article
Physics, Multidisciplinary
Junhyuk Woo, Soon Ho Kim, Hyeongmo Kim, Kyungreem Han
Summary: Reservoir computing (RC) is a new machine-learning framework that uses an abstract neural network model to process information from complex dynamical systems. This study investigates the neuronal and network dynamics of liquid state machines (LSMs) using numerical simulations and classification tasks. The findings suggest that the computational performance of LSMs is closely related to the dynamic range, with a larger dynamic range resulting in higher performance.
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS
(2024)
Article
Physics, Multidisciplinary
Yuwei Yang, Zhuoxuan Li, Jun Chen, Zhiyuan Liu, Jinde Cao
Summary: This paper proposes an extreme learning machine (ELM) algorithm based on residual correction and Tent chaos sequence (TRELM-DROP) for accurate prediction of traffic flow. The algorithm reduces the impact of randomness in traffic flow through the Tent chaos strategy and residual correction method, and avoids weight optimization using the iterative method. A DROP strategy is introduced to improve the algorithm's ability to predict traffic flow under varying conditions.
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS
(2024)
Article
Physics, Multidisciplinary
Chengwei Dong, Min Yang, Lian Jia, Zirun Li
Summary: This work presents a novel three-dimensional system with multiple types of coexisting attractors, and investigates its dynamics using various methods. The mechanism of chaos emergence is explored, and the periodic orbits in the system are studied using the variational method. A symbolic coding method is successfully established to classify the short cycles. The flexibility and validity of the system are demonstrated through analogous circuit implementation. Various chaos-based applications are also presented to show the system's feasibility.
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS
(2024)
Article
Physics, Multidisciplinary
Viorel Badescu
Summary: This article discusses the maximum work extraction from confined particles energy, considering both reversible and irreversible processes. The results vary for different types of particles and conditions. The concept of exergy cannot be defined for particles that undergo spontaneous creation and annihilation. It is also noted that the Carnot efficiency is not applicable to the conversion of confined thermal radiation into work.
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS
(2024)
Article
Physics, Multidisciplinary
P. M. Centres, D. J. Perez-Morelo, R. Guzman, L. Reinaudi, M. C. Gimenez
Summary: In this study, a phenomenological investigation of epidemic spread was conducted using a model of agent diffusion over a square region based on the SIR model. Two possible contagion mechanisms were considered, and it was observed that the number of secondary infections produced by an individual during its infectious period depended on various factors.
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS
(2024)
Article
Physics, Multidisciplinary
Zuan Jin, Minghui Ma, Shidong Liang, Hongguang Yao
Summary: This study proposes a differential variable speed limit (DVSL) control strategy considering lane assignment, which sets dynamic speed limits for each lane to attract vehicle lane-changing behaviors before the bottleneck and reduce the impact of traffic capacity drop. Experimental results show that the proposed DVSL control strategy can alleviate traffic congestion and improve efficiency.
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS
(2024)
Article
Physics, Multidisciplinary
Matthew Dicks, Andrew Paskaramoorthy, Tim Gebbie
Summary: In this study, we investigate the learning dynamics of a single reinforcement learning optimal execution trading agent when it interacts with an event-driven agent-based financial market model. The results show that the agents with smaller state spaces converge faster and are able to intuitively learn to trade using spread and volume states. The introduction of the learning agent has a robust impact on the moments of the model, except for the Hurst exponent, which decreases, and it can increase the micro-price volatility as trading volumes increase.
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS
(2024)
Article
Physics, Multidisciplinary
Zhouzhou Yao, Xianyu Wu, Yang Yang, Ning Li
Summary: This paper developed a cooperative lane-changing decision system based on digital technology and indirect reciprocity. By introducing image scoring and a Q-learning based reinforcement learning algorithm, drivers can continuously evaluate gains and adjust their strategies. The study shows that this decision system can improve driver cooperation and traffic efficiency, achieving over 50% cooperation probability under any connected vehicles penetration and traffic density, and reaching 100% cooperation probability under high penetration and medium to high traffic density.
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS
(2024)
Article
Physics, Multidisciplinary
Josephine Nanyondo, Henry Kasumba
Summary: This paper presents a multi-class Aw-Rascle (AR) model with area occupancy expressed in terms of vehicle class proportions. The qualitative properties of the proposed equilibrium velocity and the stability conditions of the model are established. The numerical results show the effect of proportional densities on the flow of vehicle classes, indicating the realism of the proposed model.
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS
(2024)
Article
Physics, Multidisciplinary
Oliver Smirnov
Summary: This study proposes a new method for simultaneously estimating the parameters of the 2D Ising model. The method solves a constrained optimization problem, where the objective function is a pseudo-log-likelihood and the constraint is the Hamiltonian of the external field. Monte Carlo simulations were conducted using models of different shapes and sizes to evaluate the performance of the method with and without the Hamiltonian constraint. The results demonstrate that the proposed estimation method yields lower variance across all model shapes and sizes compared to a simple pseudo-maximum likelihood.
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS
(2024)
Article
Physics, Multidisciplinary
Przemyslaw Chelminiak
Summary: The study investigates the first-passage properties of a non-linear diffusion equation with diffusivity dependent on the concentration/probability density through a power-law relationship. The survival probability and first-passage time distribution are determined based on the power-law exponent, and both exact and approximate expressions are derived, along with their asymptotic representations. The results pertain to diffusing particles that are either freely or harmonically trapped. The mean first-passage time is finite for the harmonically trapped particle, while it is divergent for the freely diffusing particle.
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS
(2024)
Article
Physics, Multidisciplinary
Hidemaro Suwa
Summary: The choice of transition kernel is crucial for the performance of the Markov chain Monte Carlo method. A one-parameter rejection control transition kernel is proposed, and it is shown that the rejection process plays a significant role in determining the sampling efficiency.
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS
(2024)
Article
Physics, Multidisciplinary
Xudong Wang, Yao Chen
Summary: This article investigates the joint influence of expanding medium and constant force on particle diffusion. By starting from the Langevin picture and introducing the effect of external force in two different ways, two models with different force terms are obtained. Detailed analysis and derivation yield the Fokker-Planck equations and moments for the two models. The sustained force behaves as a decoupled force, while the intermittent force changes the diffusion behavior with specific effects depending on the expanding rate of the medium.
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS
(2024)