Article
Chemistry, Physical
Neda Zarayeneh, Nitesh Kumar, Ananth Kalyanaraman, Aurora E. Clark
Summary: This article introduces an algorithm called Delta-screening for identifying temporal communities. The algorithm is flexible in handling the evolving compositions, merging, and splitting behaviors within chemical networks, and is able to resolve multiple time scales.
JOURNAL OF CHEMICAL THEORY AND COMPUTATION
(2022)
Editorial Material
Geochemistry & Geophysics
Ze'ev Reches, Jay Fineberg
Summary: Earthquakes are caused by dynamic fractures due to overstresses, not governed by the frictional properties of faults. Frictional interfaces can sustain a wide range of stresses before sliding, generating stress-fields and rupture dynamics. The values of stresses and energy dissipation are determined by fault frictional properties.
JOURNAL OF GEOPHYSICAL RESEARCH-SOLID EARTH
(2023)
Review
Computer Science, Interdisciplinary Applications
Elias Cueto, Francisco Chinesta
Summary: Thermodynamics, as a higher level of physics, has the potential to aid accurate and credible predictions in machine learning. This review explores how thermodynamics provides insights in the learning process, considering factors such as scale, choice of variables, and learning techniques.
ARCHIVES OF COMPUTATIONAL METHODS IN ENGINEERING
(2023)
Article
Physics, Multidisciplinary
Federico Battiston, Enrico Amico, Alain Barrat, Ginestra Bianconi, Guilherme Ferraz de Arruda, Benedetta Franceschiello, Iacopo Iacopini, Sonia Kefi, Vito Latora, Yamir Moreno, Micah M. Murray, Tiago P. Peixoto, Francesco Vaccarino, Giovanni Petri
Summary: This Perspective explores the limitations of network representations for complex systems and the importance of higher-order interactions. While complex network models have been widely used for simulating the dynamics of interacting systems, real-world systems often involve higher-order interactions.
Article
Mathematics, Applied
Chun -Lin Yang, Steve Suh
Summary: This article presents a multivariable nonlinear time-frequency network control scheme for controlling dynamic complex networks, which adjusts the couplings between network constituents to maintain network structure stability and collective behaviors. Experimental results show that the control scheme effectively mitigates disruptions and improves the stability and integrity of the network.
PHYSICA D-NONLINEAR PHENOMENA
(2022)
Editorial Material
Multidisciplinary Sciences
Dmitri V. Alexandrov, Andrey Yu Zubarev
Summary: This journal issue focuses on the theoretical, computational, and experimental studies of transport phenomena in complex systems. It covers various types of phenomena such as heat and mass transfer, hydrodynamic and rheological effects, and electromagnetic field propagation. The issue highlights anomalous, relaxation, and nonlinear transport, as well as transport induced by external fields and noise, with a special emphasis on biological systems and progressive methods in cancer, heart attack, and insult therapy.
PHILOSOPHICAL TRANSACTIONS OF THE ROYAL SOCIETY A-MATHEMATICAL PHYSICAL AND ENGINEERING SCIENCES
(2021)
Article
Multidisciplinary Sciences
Dmitri Alexandrov, Andrey Yu Zubarev
Summary: This theme issue focuses on the research studies of transport phenomena in complex media, including nonlinear transport phenomena in heterogeneous and metastable materials as well as biological systems. The collection of papers presents state-of-the-art methods in theoretical, numerical, and experimental investigations.
PHILOSOPHICAL TRANSACTIONS OF THE ROYAL SOCIETY A-MATHEMATICAL PHYSICAL AND ENGINEERING SCIENCES
(2022)
Article
Chemistry, Physical
Alex Lukyanov
Summary: The study challenges the traditional view of the contact line as a one-dimensional microscopic object and reveals it as a complex non-local macroscopic object involving intricate interplay between microscopic and macroscopic quantities. By developing a modified force balance approach, it identifies a universal tipping point where non-local effects kick in and lead to a modified force balance at the contact line, applicable to a wide range of capillary flows.
JOURNAL OF COLLOID AND INTERFACE SCIENCE
(2022)
Article
Engineering, Electrical & Electronic
Luis David Pabon Ospina, Valeria Usuga Salazar, Daniel Pabon Ospina
Summary: The traditional static load models in power systems cannot accurately represent the highly dynamic behavior of active distribution networks. This paper proposes a method based on Hammerstein-Wiener models to equivalize the networks using only boundary variables measured at the common coupling point, achieving a simple and convenient implementation while preserving the dynamics required for long-term stability studies.
IEEE TRANSACTIONS ON POWER SYSTEMS
(2022)
Review
Biochemistry & Molecular Biology
Shai Pilosof
Summary: Plasmids play a role in shaping the diversity, structure, and function of microbial communities. However, we lack a detailed understanding of how community structure and dynamics emerge from microbe-plasmid interactions and coevolution. This article suggests using agent-based evolutionary modeling and network analysis to quantify the importance of local processes in governing community dynamics, which can advance our understanding of plasmid ecology and evolution when combined with empirical data.
TRENDS IN MICROBIOLOGY
(2023)
Article
Engineering, Electrical & Electronic
Haihua Guo, Jian Liu, Choon Ki Ahn, Yongbao Wu, Wenxue Li
Summary: This study proposes a novel dynamic event-triggered impulsive control scheme for the exponential stabilization of general stochastic nonlinear systems. The proposed scheme reduces controller updates and saves energy compared to traditional static event-triggered impulsive generators. Furthermore, there is a guaranteed positive minimum inter-event time for each sample path solution. The scheme is also applied to stabilize stochastic complex networks.
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS I-REGULAR PAPERS
(2022)
Article
Mathematics, Applied
Subrata Ghosh, Pitambar Khanra, Prosenjit Kundu, Peng Ji, Dibakar Ghosh, Chittaranjan Hens
Summary: We investigate epidemic spreading in heterogeneous networks with higher-order interactions and provide a recipe for constructing a reduced model. The microscopic state of nodes inversely scales with their degree and becomes diminished due to higher-order interactions, resulting in an abrupt transition in the macroscopic state. We also quantify the network's resilience and propose an alternative dimension reduction framework based on spectral analysis.
Review
Physics, Multidisciplinary
Peng Ji, Jiachen Ye, Yu Mu, Wei Lin, Yang Tian, Chittaranjan Hens, Matjaz Perc, Yang Tang, Jie Sun, Jurgen Kurths
Summary: Signal propagation in complex networks has significant implications in various fields, including epidemiology, social dynamics, neuroscience, engineering, and robotics. The geometry of signal propagation is determined by the network topology and diverse forms of nonlinear interactions. This comprehensive review explores different models and types of complex networks, network time series analysis techniques, and applications. It aims to provide an up-to-date understanding of signal propagation complexities for innovative applications and future research.
PHYSICS REPORTS-REVIEW SECTION OF PHYSICS LETTERS
(2023)
Article
Environmental Sciences
Patrick M. Reed, Antonia Hadjimichael, Richard H. Moss, Christa Brelsford, Casey D. Burleyson, Stuart Cohen, Ana Dyreson, David F. Gold, Rohini S. Gupta, Klaus Keller, Megan Konar, Erwan Monier, Jennifer Morris, Vivek Srikrishnan, Nathalie Voisin, Jim Yoon
Summary: The field of MultiSector Dynamics (MSD) explores the dynamics and co-evolutionary pathways of human and Earth systems with a focus on critical goods and services delivered to people through interdependent sectors. Advancing complex adaptive human-Earth systems science, understanding tradeoffs, synergies, and complexities, and integrating ideas and methods from multiple disciplines are essential for addressing interconnected risks, increasing resilience, and improving sustainability.
Article
Engineering, Civil
Roopali Dogra, Shalli Rani, Himanshi Babbar, Sahil Verma, Kavita Verma, Joel J. P. C. Rodrigues
Summary: For effective green communications amongst vehicles, the proposed dynamic clustering green communication routing (DCGCR) protocol considers various metrics such as energy consumption, network stability, reliability, and data exchange among vehicles. The protocol overcomes the difficulties of identifying a connected route with sufficient latency in Vehicular Sensor Networks and offers computational efficiency in determining load congestion and energy consumption. Compared to other energy-aware routing algorithms, the DCGCR approach achieves higher accuracy with a 7% reduction in failure rate.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
(2022)
Article
Computer Science, Cybernetics
Jaroslaw Jankowski, Andrzej Grabowski
INTERNATIONAL JOURNAL OF HUMAN-COMPUTER INTERACTION
(2015)
Article
Computer Science, Cybernetics
Andrzej Grabowski
INTERNATIONAL JOURNAL OF HUMAN-COMPUTER INTERACTION
(2015)
Article
Engineering, Industrial
Andrzej Grabowski, Jaroslaw Jankowski
Article
Computer Science, Software Engineering
Andrzej Grabowski, Kamil Jach
Summary: Virtual reality (VR) technology has been widely used in the training of professionals in various fields, such as medicine, psychology, forestry, iron casting, and construction. Through case studies, we can see the potential of VR technology to simulate complex scenarios and provide professionals with a more realistic training experience.
COMPUTER ANIMATION AND VIRTUAL WORLDS
(2021)
Article
Engineering, Civil
Andrzej Grabowski
Summary: Training in enclosure fires is crucial for firefighters, and the specificity of training simulators and end-user opinions play a vital role in achieving optimal outcomes. This research focuses on developing and comparing two realistic virtual training systems to bridge the gap between theoretical and real-life training, while minimizing costs. The study shows that both CAVE and VR simulators are accepted and rated as very useful, with efforts to reduce limitations of VR training simulators being discussed.
FIRE SAFETY JOURNAL
(2021)
Article
Computer Science, Cybernetics
Andrzej Grabowski, Jaroslaw Jankowski, Mieszko Wodzynski
Summary: The article introduces a method of using virtual reality techniques to control a two-armed mobile robot for supporting work. The study found that the operator's work efficiency is influenced by factors such as human-machine interface, VR training, and age.
INTERNATIONAL JOURNAL OF HUMAN-COMPUTER STUDIES
(2021)
Proceedings Paper
Engineering, Electrical & Electronic
Andrzej Grabowski, Piotr Glowacki, Krzysztof T. Pozniak, Grzegorz H. Kasprowicz, Adam Czekala, Zbigniew M. Wawrzyniak, Agata Tyburska, Zbigniew Ajdukiewicz, Jaroslaw Struniawski, Jacek Iwanski, Sebastian Brawata, Waldemar Szymajda
Summary: In situations where communication systems fail or access to telecommunications infrastructure is lacking, alternative solutions such as using a dedicated vehicle or MESH networks to extend communication range may be necessary.
PHOTONICS APPLICATIONS IN ASTRONOMY, COMMUNICATIONS, INDUSTRY, AND HIGH ENERGY PHYSICS EXPERIMENTS 2021
(2021)
Proceedings Paper
Engineering, Electrical & Electronic
Andrzej Grabowski, Piotr Glowacki, Krzysztof T. Pozniak, Grzegorz H. Kasprowicz, Wojciech M. Zabolotny, Zbigniew M. Wawrzyniak, Andrzej Wojenski, Agata Tyburska, Zbigniew Ajdukiewicz, Jaroslaw Struniawski, Jacek Iwanski, Sebastian Brawata, Waldemar Szymajda, Piotr Markowski, Mariusz Kotlik, Piotr Mrozowski, Ewelina Katewicz
PHOTONICS APPLICATIONS IN ASTRONOMY, COMMUNICATIONS, INDUSTRY, AND HIGH ENERGY PHYSICS EXPERIMENTS 2020
(2020)
Proceedings Paper
Optics
Grzegorz H. Kasprowicz, Krzysztof T. Pozniak, Wojciech M. Zabolotny, Zbigniew M. Wawrzyniak, Andrzej Wojenski, Agata Tyburska, Jaroslaw Kaminski, Jaroslaw Struniawski, Jacek Iwanski, Sebastian Brawata, Waldemar Szymajda, Piotr Markowski, Mariusz Kotlik, Piotr Mrozowski, Ewelina Katewicz, Andrzej Grabowski, Krzysztof Malkiewicz
PHOTONICS APPLICATIONS IN ASTRONOMY, COMMUNICATIONS, INDUSTRY, AND HIGH-ENERGY PHYSICS EXPERIMENTS 2019
(2019)
Proceedings Paper
Computer Science, Information Systems
Andrzej Jarynowski, Andrzej Grabowski
SOCIAL INFORMATICS (SOCINFO 2018), PT II
(2018)
Proceedings Paper
Computer Science, Hardware & Architecture
Andrzej Grabowski, Andrzej Jarynowski
2016 THIRD EUROPEAN NETWORK INTELLIGENCE CONFERENCE (ENIC 2016)
(2016)
Article
Ergonomics
Pawel Budziszewski, Andrzej Grabowski, Marcin Milanowicz, Jaroslaw Jankowski
INTERNATIONAL JOURNAL OF OCCUPATIONAL SAFETY AND ERGONOMICS
(2016)
Article
Ergonomics
Marzena Malinska, Krystyna Zuzewicz, Joanna Bugajska, Andrzej Grabowski
INTERNATIONAL JOURNAL OF OCCUPATIONAL SAFETY AND ERGONOMICS
(2015)
Article
Public, Environmental & Occupational Health
Marzena Malinska, Krystyna Zuzewicz, Joanna Bugajska, Andrzej Grabowski
Article
Ergonomics
Andrzej Grabowski, Jaroslaw Jankowski, Marek Dzwiarek, Robert A. Kosinski
INTERNATIONAL JOURNAL OF OCCUPATIONAL SAFETY AND ERGONOMICS
(2014)
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)
