Article
Mechanics
Sergey G. Chefranov, Artem S. Chefranov
Summary: An exact analytical solution to the compressible Euler equations is obtained in the form of a nonlinear simple wave, with explicit dependence on initial conditions. This solution allows for the description of turbulence characteristics in a compressible medium, considering dissipation and dissipative anomalies. The energy and dissipation rate fluctuation spectra for turbulence are discussed and validated based on the obtained solution.
Article
Environmental Sciences
S. Simoes, C. Canhoto, F. Barlocher, A. L. Goncalves
Summary: The study found that drought has a significant impact on microbial-mediated decomposition processes, leading to decreased efficiency in fungal communities and affecting stream functioning. Aquatic hyphomycetes play a vital role in litter decomposition in dry streambeds following slower habitat contraction patterns.
SCIENCE OF THE TOTAL ENVIRONMENT
(2021)
Article
Multidisciplinary Sciences
F. Mambretti, M. Mirigliano, E. Tentori, N. Pedrani, G. Martini, P. Milani, D. E. Galli
Summary: Nanostructured Au films fabricated by assembling gas-phase nanoparticles exhibit non-linear and non-local electrical behavior, forming complex networks of metallic nanojunctions that continuously rearrange low and high electrical resistance regions due to thermal effects at the nanoscale. By developing a three-dimensional resistor network model, we are able to qualitatively reproduce the observed electrical conduction properties and extract information from the experimental resistance data. This suggests that nanostructured Au films have activated interconnections that can potentially be used for neuromorphic computing applications.
SCIENTIFIC REPORTS
(2022)
Article
Physics, Fluids & Plasmas
Jaime Clark, Felipe Torres, Laura Morales, Juan Alejandro Valdivia
Summary: The study focuses on the self-organization process induced by a nonlocal critical field, which resembles the behavior of sand grains in certain aspects. By analyzing the long term statistics of events, the research reveals well defined power law event statistics and the existence of large or global events, both of which are important in understanding the long term statistics of systems controlled by nonlocality.
Article
Environmental Sciences
Kelly Y. Y. Huang, Gabriel G. G. Katul, Thomas J. J. Hintz, Jesus Ruiz-Plancarte, Qing Wang, Harindra J. S. Fernando
Summary: The study investigates the intermittency of fog by analyzing the visibility time series collected in July 2022 on Sable Island, Canada. It is found that relative humidity and turbulent kinetic energy are related to various stochastic features of visibility.
Article
Physics, Multidisciplinary
Charlie Nation, Diego Porras
Summary: This study explores how quantum dynamics in a single excitation subspace deviates from predictions of the eigenstate thermalization hypothesis (ETH). By analyzing long-time fluctuations, two-point correlation functions, and out-of-time-ordered correlators, a new relation similar to ETH is derived. Additionally, the time-dependence of equilibrium decay is computed.
JOURNAL OF PHYSICS A-MATHEMATICAL AND THEORETICAL
(2022)
Article
Mathematics, Applied
Marius Neuss
Summary: The long time behavior of solutions to generalized stochastic porous media equations on bounded intervals with zero Dirichlet boundary conditions is studied, focusing on a degenerate form of nonlinearity arising in self-organized criticality. The existence and uniqueness of an invariant measure is proved using the lower bound technique.
JOURNAL OF DYNAMICS AND DIFFERENTIAL EQUATIONS
(2021)
Article
Mathematics, Interdisciplinary Applications
Yiannis F. Contoyiannis, Efstratios K. Kosmidis, Fotios K. Diakonos, Myron Kampitakis, Stelios M. Potirakis
Summary: The recently introduced hybrid artificial neural network based on fundamental principles of Physics can simulate the dynamics of membrane potential fluctuations of real neurons. The study proposes a temporal description of the membrane potential fluctuations that resembles soliton solutions in phi(4) field theory, and kink-antikink dynamics are associated with spike generation. Furthermore, the simulation can reproduce the distribution of inter-spike intervals in biological neurons and discusses the proposal for the origin of intermittency in these fluctuations.
CHAOS SOLITONS & FRACTALS
(2022)
Article
Mechanics
P. Debue, V. Valori, C. Cuvier, F. Daviaud, J. -M. Foucaut, J. -P. Laval, C. Wiertel, V. Padilla, B. Dubrulle
Summary: By studying the three-dimensional structure of turbulent velocity fields around extreme events of local energy transfer in the dissipative range, it was found that most extreme events of local energy transfer correspond to the vortex stretching topology, with large velocity and vorticity norms, and the structure of the vorticity field around these events agrees with previous observations.
JOURNAL OF FLUID MECHANICS
(2021)
Article
Physics, Multidisciplinary
Jose M. Angulo, Ana E. Madrid
Summary: Intermittency is a heterogeneous behavior that is of interest in various fields, such as system dynamics and risk assessment. Wavelets are useful for analyzing intermittency, especially when considering the effect of deformation on the energy transfer and the distribution of energy at different scales. This paper investigates the impact of deformation on intermittency indicators and evaluates the changes in generalized entropy and complexity measures.
Article
Mathematics, Applied
Lingyun Ding, Richard M. McLaughlin
Summary: This study examines the long-term behavior of an advection-diffusion equation with a random shear flow in a parallel-plate channel. By employing a perturbation method, the long-time asymptotics of arbitrary N-point correlators are obtained, and a diffusion equation with a random drift is discovered to have the same probability density function at long times. This approach is not limited to parallel-plate channels, but also applies to straight channels with arbitrary cross-sections. The first two Aris moments using a single realization of the random field can be used to explicitly construct all ensemble averaged moments, and these moments can predict long-time centered Aris moments. The formulas provided quantitatively depict the dependence of deterministic effective diffusion on the interaction between spatial flow structure and random temporal fluctuations.
PHYSICA D-NONLINEAR PHENOMENA
(2022)
Article
Physics, Fluids & Plasmas
Yunxiang Song, Thomas A. Witten
Summary: Random perturbations can synchronize the motion of an ensemble of oscillating objects. We studied multiple copies of an arbitrary dynamical system in a stable limit cycle and found that weak, randomly timed external impulses applied to all copies can synchronize their phases over time. However, beyond a certain threshold, synchronization becomes erratic and produces stochastic fluctuations in the phase distribution. We also discovered that the entropies of these phase distributions form a steady-state ensemble, whose average can be made arbitrarily negative by adjusting the impulse strength. The observed exponential distribution of entropies and stochastic synchronization can be explained by a random-walk description of entropy's evolution.
Review
Multidisciplinary Sciences
Fran Hancock, Fernando E. Rosas, Pedro A. M. Mediano, Andrea I. Luppi, Joana Cabral, Ottavia Dipasquale, Federico E. Turkheimer
Summary: This article discusses competing and complementary models of resting-state brain dynamics, emphasizing the importance of complexity science in describing brain functioning and understanding.
JOURNAL OF THE ROYAL SOCIETY INTERFACE
(2022)
Article
Mathematics, Interdisciplinary Applications
Sundararaman Muthusamy, Narasimhan Devadoss, Sherif I. Ammar
Summary: This paper describes a working vacation queuing model with three different classes of customers and uses the generating functions technique to determine system capacity and performance indices. The approach is significant in the context of the COVID-19 pandemic for telephonic communication systems.
DISCRETE DYNAMICS IN NATURE AND SOCIETY
(2022)
Article
Mathematics, Interdisciplinary Applications
Wei Guo, Ying-Zhou Liu, Fei-Jie Huang, Hong-Da Shi, Lu-Chun Du
Summary: This study reveals the phenomena of anomalous diffusion and ergodicity breaking in one-dimensional potentials through numerical simulations and analytical expressions, suggesting their potential significance in biological processes.
CHAOS SOLITONS & FRACTALS
(2023)
Article
Mathematics, Interdisciplinary Applications
David Lambert, Fabio Vanni
CHAOS SOLITONS & FRACTALS
(2018)
Article
Nanoscience & Nanotechnology
Huizhang Guo, Mirko Lukovic, Miller Mendoza, Christian M. Schleputz, Michele Griffa, Biwan Xu, Sabyasachi Gaan, Hans Herrmann, Ingo Burgert
ACS APPLIED MATERIALS & INTERFACES
(2019)
Article
Chemistry, Multidisciplinary
Huizhang Guo, Peter Warnicke, Michele Griffa, Ulrich Mueller, Zupeng Chen, Robin Schaeublin, Zhidong Zhang, Mirko Lukovic
Article
Forestry
M. Schubert, M. Lukovic, H. Christen
WOOD SCIENCE AND TECHNOLOGY
(2020)
Article
Mathematics, Interdisciplinary Applications
Luigi Palatella, Fabio Vanni, David Lambert
Summary: Accurately estimating the number of SARS-CoV-2 infections is crucial for understanding the overall impact of CoViD-19 and implementing effective public policy. This study discusses a simple yet effective approach to estimate the true number of people infected by SARS-CoV-2 using raw epidemiological data reported by official health institutions in the largest EU countries and the USA.
CHAOS SOLITONS & FRACTALS
(2021)
Article
Multidisciplinary Sciences
Fabio Vanni, David Lambert, Luigi Palatella, Paolo Grigolini
Summary: This study introduces a modified SIR model with time-dependent contact rate to describe the transmission of infectious diseases like CoViD-19. The theoretical framework predicts changes in the reproduction number of SARS-CoV-2 based on individual mobility and interpersonal proximity, along with other epidemiological and environmental factors. Lockdown policies are shown to reduce the impact of CoViD-19 by decreasing proximity and mobility, mitigating the risk of disease resurgence.
SCIENTIFIC REPORTS
(2021)
Article
Chemistry, Multidisciplinary
Zhihui Zeng, Na Wu, Weidong Yang, Hao Xu, Yaozhong Liao, Chenwei Li, Yunfei Yang, Shanyu Zhao, Zhongqing Su, Xuehong Lu, Mirko Lukovie
Summary: Ultralight and highly flexible aerogel sensors, composed of cross-linked graphene nanosheets and micrometer-sized honeycomb pores, exhibit exceptional properties including superior compressibility and resilience, good mechanical strength and durability, satisfactory fire-resistance, and outstanding electromechanical sensing performances. These sensors can efficiently respond to a wide range of strains and pressures, even at high temperatures, and demonstrate ultrahigh-frequency sensing capabilities, stability, and durability.
Article
Business
Severin Reissl, Alessandro Caiani, Francesco Lamperti, Mattia Guerini, Fabio Vanni, Giorgio Fagiolo, Tommaso Ferraresi, Leonardo Ghezzi, Mauro Napoletano, Andrea Roventini
Summary: A novel interregional computational input-output model was built to assess the economic impact of lockdowns in Italy, modeling lockdowns as shocks to labor supply and showing good performance in reproducing economic dynamics. The model also demonstrated its ability to analyze counterfactual scenarios.
INDUSTRIAL AND CORPORATE CHANGE
(2022)
Article
Forestry
Mark Schubert, Walter Sonderegger, Mirko Lukovic, Oliver Klaeusler
Summary: The conventional quality control methods for wood products have limitations in terms of timely response to fluctuations in product quality, complex and time-consuming procedures, and limited availability of labeled data. In this study, the potential of using semi-supervised learning (SSL) to enhance the prediction performance of machine learning models for wood product quality classification was investigated. Despite a small dataset, the study provides valuable insights for future wood quality assessment.
WOOD SCIENCE AND TECHNOLOGY
(2022)
Article
Multidisciplinary Sciences
Mirko Lukovic, Roman Zweifel, Guillaume Thiry, Ce Zhang, Mark Schubert
Summary: This study proposes the use of machine learning techniques to reverse data losses caused by harsh conditions and presents the TreeNet project's tree stem growth data as a case study. The results show that a deep neural network combining long short-term memory with one-dimensional convolutional layers performs the best.
JOURNAL OF THE ROYAL SOCIETY INTERFACE
(2022)
Article
Chemistry, Physical
Zhihui Zeng, Changxian Wang, Tingting Wu, Daxin Han, Mirko Lukovic, Fei Pan, Gilberto Siqueira, Gustav Nystrom
JOURNAL OF MATERIALS CHEMISTRY A
(2020)
Article
Physics, Fluids & Plasmas
M. N. Najafi, J. Cheraghalizadeh, M. Lukovic, H. J. Herrmann
Article
Economics
Fabio Vanni, Paolo Barucca
JOURNAL OF ECONOMIC INTERACTION AND COORDINATION
(2019)
Article
Physics, Fluids & Plasmas
L. Michiels van Kessenich, M. Lukovic, L. de Arcangelis, H. J. Herrmann
Article
Physics, Fluids & Plasmas
Fabian Hillebrand, Mirko Lukovic, Hans J. Herrmann
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)
