Article
Engineering, Multidisciplinary
Hilman Syaeful Alam, Priyono Sutikno, Tubagus Ahmad Fauzi Soelaiman, Anto Tri Sugiarto
Summary: In this study, a hydrodynamic model was developed to predict bubble size distribution in a swirling-flow nanobubble generator. The model combined computational fluid dynamics and population balance method and was evaluated with several combinations of turbulence, coalescence, and breakage models. It was found that the combination of turbulence coalescence and Luo breakage models predicted the best. The selection of appropriate turbulence models improved the modeling accuracy.
ENGINEERING APPLICATIONS OF COMPUTATIONAL FLUID MECHANICS
(2022)
Article
Mechanics
Shanqin Jin, Heather Peng, Wei Qiu, Chad Oldfield, Barton Stockdill
Summary: This paper presents the development of best Reynolds-Averaged Navier-Stokes (RANS) modeling practices for simulations of propeller-hull interaction using Star-CCM+. The best propeller modeling methods and parameters were recommended based on convergence studies and validation experiments.
Article
Engineering, Chemical
Zhu Yang, Thomas Holemans, Bert Lagrain, Bert Sels, Maarten Vanierschot
Summary: Solid-liquid mixing plays a crucial role in various chemical processes, and traditional mechanically stirred tank reactors have limitations in high pressure/temperature applications. This study investigates the mixing performance of a specially designed reactor called the Swirling Flow Reactor (SFR) using Computational Fluid Dynamics (CFD) simulation. The results show the presence of coherent flow structures in the swirling flow, including double layer double helical vortex cores and their second order harmonics.
CHEMICAL ENGINEERING SCIENCE
(2023)
Article
Engineering, Civil
S. N. Chan, Jiuhao Guo, Joseph H. W. Lee
Summary: Scroll vortex intakes are commonly used hydraulic structures in water supply, drainage, and sewerage systems, creating stable vortex flow using eccentric approach channels and vortex chambers. This study presents the first comprehensive measurement of the 3D flow field of a scroll vortex intake using Laser Doppler Anemometry, revealing that the vortex flow in the chamber resembles a free vortex with reduced circulation at the outlet.
JOURNAL OF HYDRO-ENVIRONMENT RESEARCH
(2022)
Article
Engineering, Electrical & Electronic
Lujia Wang, Lijun Zhou, Qiuyue Zhu, Xue Hu, Dongyang Wang, Haitao Yang
Summary: A dynamic thermal network model was proposed for the winding domain inside OBTT, which introduced distributed thermal capacitance to reflect heat storage. The thermal resistance of stagnant oil was first modeled to describe heat transfer near boundary layers. The proposed model was validated with CFD simulation and temperature-rise test, based on a real disk-type winding geometry from a 6.3-MVA OBTT. The model can be used for design optimization and dynamic thermal rating.
IEEE TRANSACTIONS ON TRANSPORTATION ELECTRIFICATION
(2023)
Article
Computer Science, Interdisciplinary Applications
Sohail Nadeem, Bushra Ishtiaq, Nevzat Akkurt, Sayed M. Eldin
Summary: The study focuses on examining the unsteady swirling flow of a non-Newtonian Eyring-Powell fluid between two rotating coaxial disks. The three-dimensional axisymmetric flow pattern and heat transfer mechanism are observed considering the effects of a magnetic field and variable thermal conductivity of the fluid. The obtained results show that the fluid parameter and variable thermal conductivity parameter have significant influence on the flow system and heat transfer rate.
JOURNAL OF COMPUTATIONAL DESIGN AND ENGINEERING
(2023)
Article
Engineering, Chemical
Chunhui Li, Junjie Zhang, Jinze He, Peicheng Luo
Summary: This study examines the gas-liquid hydrodynamics in a self-suction jet reactor with or without swirling addition design through experimental and numerical methods. It was found that swirling addition significantly increases the gas suction rate. Numerical predictions indicate that swirling addition promotes radial pressure gradient generation, enhancing gas-liquid mixing efficiency. The proper selection of liquid flow rate and swirling intensity is crucial for balancing gas suction rate and dispersion efficiency in jet reactors with swirling addition design.
CHEMICAL ENGINEERING SCIENCE
(2022)
Article
Engineering, Chemical
Hilman Syaeful Alam, Priyono Sutikno, Tubagus Ahmad Fauzi Soelaiman, Anto Tri Sugiarto
Summary: In this study, a novel model was proposed to optimize a swirling-flow nanobubble generator. Through the combination of a computational fluid dynamics-population balance method (CFD-PBM) coupled model and a response surface method (RSM), the model was validated by experiments and then utilized for optimization. The proposed model can serve as a reference in the design of nanobubble generators and can be applied on a larger scale.
CHEMICAL ENGINEERING & TECHNOLOGY
(2022)
Article
Mechanics
Prabir Daripa, Rohit Mishra
Summary: Two distinct effects exhibited by polymers are shear thinning and viscoelasticity. In this study, a novel approach is proposed to incorporate the shear thinning effect in chemical enhanced oil recovery using a dynamic viscosity calculation based on a power law model with empirical coefficients. The method has been integrated with an existing model for porous media flows and simulations reveal the competing effects of shear thinning and mobility ratio, the influence of injection conditions on polymer selection, the impact of permeability, and the dynamics of viscosity waves and small scale viscous fingers. The ultimate goal is to provide an effective and easy approach for designing polymer choices in various flooding conditions.
Article
Thermodynamics
Dongyun Wang, Artem Khalatov, E. Shi-Ju, Igor Borisov
Summary: This experimental study investigated swirling flow heat transfer and hydrodynamics in a round passage simulating blade cyclone cooling under different flow supply and co-swirling flow conditions. The results showed that the effects of co-swirling flow on heat transfer enhancement and pressure drop ratio vary under different conditions.
INTERNATIONAL JOURNAL OF HEAT AND MASS TRANSFER
(2021)
Article
Engineering, Chemical
Ming Guo, Hao Xue, Jian Pang, Dang Khoi Le, Xun Sun, Joon Yong Yoon
Summary: By comparing the CVF and SVF_D1, SVF_D2 models of cyclone separator, the influence of SVF on the swirling turbulent flow characteristics was analyzed in detail. It was concluded that the SVF_D2 model could improve the separation efficiency and reduce the pressure drop. This study helps to clarify the impact of SVF on the mechanism of particle separation motion in cyclone separator and identify the differences between traditional cyclone separator and cyclone with SVF installation.
Article
Thermodynamics
Fatih Demir, Oguz Turgut, Tamer Calisir
Summary: The flow field and heat transfer of a swirling jet under low nozzle-to-plate distances were numerically investigated using various turbulence models. The effects of Reynolds number and dimensionless nozzle-to-plate distance on the flow field and heat transfer were analyzed. The results showed that the height of the computational domain defined on the impingement plate significantly influenced the results, particularly at low nozzle-to-plate distances. The agreement between one of the cases and experimental results was observed when using the Realizable k-e turbulence model. The parametric analysis revealed that the theoretical swirl number decreased as Reynolds number increased at a constant nozzle-to-plate distance, but increased for nozzle-to-plate distances below 0.75. The pressure peaks and subatmospheric pressure on the impingement plate varied with the nozzle-to-plate distance and Reynolds number.
JOURNAL OF THERMAL ANALYSIS AND CALORIMETRY
(2023)
Article
Engineering, Marine
Omid Aminoroayaie Yamini, Azin Movahedi, S. Hooman Mousavi, Mohammad Reza Kavianpour, Grigorios L. Kyriakopoulos
Summary: In this paper, the authors use CFD modeling to study the hydraulic design principles and performance criteria for pump intakes. They explore scenarios for avoiding or resolving hydraulic problems and present measures to improve approach flow patterns. Using a numerical model to identify and address issues is found to reduce costs and maintenance in the long run.
JOURNAL OF MARINE SCIENCE AND ENGINEERING
(2022)
Article
Thermodynamics
Bo Wang, Tao Song, Aihua Li, Yaqi Li, Gao Shu, Yuanji Li, Xiaohu Yang
Summary: In this study, the dynamic behavior of wall temperature in an air duct was analyzed using an experimental system, investigating the impact of a pre-swirling device on the increase in wall temperature. The results revealed a lower wall temperature in the presence of the pre-swirl, with a maximum reduction of 55.7%. This study demonstrates that the pre-swirling device effectively diminishes the increase in wall temperature and shows potential applications.
CASE STUDIES IN THERMAL ENGINEERING
(2023)
Article
Thermodynamics
Myeongjin Kim, Joo Hyun Moon
Summary: This study aims to design a thermal system to estimate the effective thermal conductivity in thermosyphon by analyzing the relationship between thermal resistance and effective thermal conductivity. Computational fluid dynamics is used to simulate the thermosyphon under different parameters, and a correlation model is derived. The simulation data is validated using a Deep Neural Network, confirming the consistency and reliability of the results.
THERMAL SCIENCE AND ENGINEERING PROGRESS
(2022)
Article
Multidisciplinary Sciences
Chiya Yousef Rahimzadeh, Azeez Abdullah Barzinjy, Ahmed Salih Mohammed, Samir Mustafa Hamad
Summary: The usage of green synthesis method for producing nanoparticles has gained popularity in the scientific community. The method is favored for being environmentally-friendly and utilizing non-toxic materials. This study successfully synthesized nano-silica (SiO2) nanoparticles using Rhus coriaria L. extract and sodium metasilicate under reflux conditions. The green-synthesized SiO2 nanoparticles showed superior stability, enhanced thermal properties, and a larger surface area compared to chemically synthesized ones.
Article
Materials Science, Multidisciplinary
Yousef Mirzaei, Samir M. Hamad, Azeez A. Barzinjy, Vinos M. Faris, Masoud Karimpour, Mukhtar H. Ahmed
Summary: This study examined the antiparasitic effects of green synthesized NiO and Ag nanoparticles on Marshallagia marshalli. The results showed that both nanoparticles have anthelmintic activity against this parasite, with the efficacy increasing with concentration and incubation time. Among the two, Ag nanoparticles demonstrated a higher level of efficacy compared to NiO nanoparticles.
EMERGENT MATERIALS
(2022)
Article
Engineering, Civil
Chiya Y. Rahimzadeh, Ahmed Salih Mohammed, Azeez A. Barzinjy
Summary: The share of buildings in energy consumption and greenhouse gas emissions is significant. Replacing modified lime mortars with common cement mortars can contribute to environmental sustainability. Lime pastes have durability, flexibility, breathability, and strong resistance to water. The Vipulanandan p-q model is the best for predicting the stress-strain behavior of LRP.
EUROPEAN JOURNAL OF ENVIRONMENTAL AND CIVIL ENGINEERING
(2023)
Article
Nanoscience & Nanotechnology
Banaz Shahab Haji, Azeez Abdullah Barzinjy
Summary: Silver nanoparticles were synthesized using Citrullus colocynthis fruit extract as a reducing, capping, and stabilizing agent. The size, purity, stability, structure, and optical properties of the nanoparticles were characterized through various methods. The investigation revealed that reaction pH, temperature, and precursor concentration play crucial roles in the formation process of the nanoparticles.
E-JOURNAL OF SURFACE SCIENCE AND NANOTECHNOLOGY
(2023)
Article
Biochemical Research Methods
Nzar Shakr Piro, Samir Mustafa Hamad, Ahmed Salih Mohammed, Azeez Abdullah Barzinjy
Summary: In recent years, nanotechnology has emerged as an important and exciting frontier in science, allowing the industrialization of novel materials and devices with atomic precision. Consequently, the development of eco-friendly methods using biological systems, microorganisms, and plant-based materials has gained attention due to the use of toxic and expensive chemicals in conventional methods. This study compares the synthesis of iron oxide (Fe3O4) nanoparticles using a green method with Rhus Coriaria extract and a conventional chemical method, demonstrating the superior properties of the green nanoparticles in terms of aggregation status, capping and stabilizing agents, magnetic and thermal properties, and stability. This highlights the significance of utilizing the available phytochemical in the Rhus Coriaria extract for biosynthesizing Fe3O4 nanoparticles.
IEEE TRANSACTIONS ON NANOBIOSCIENCE
(2023)
Article
Chemistry, Multidisciplinary
Raghad Y. Mohammed, Furman Kasseem Ahmed, Ahmed Fattah Abdulrahman, Samir Mustafa Hamad, Sabah M. Ahmed, Azeez Abdullah Barzinjy, Munirah Abdullah Almessiere
Summary: The effects of growth temperatures on the surface topography, optical properties, and crystal structure of lead-oxide nanostructures were studied. The results showed that the growth temperature significantly influenced the PbO nanostructures. The PbO nanostructures had a polycrystalline tetragonal phase, with larger crystal sizes at higher growth temperatures. The fabricated PbO nanofilms exhibited high transmittance rates and were capable of shielding gamma-rays.
Article
Construction & Building Technology
Chiya Y. Rahimzadeh, Ahmed Salih Mohammed, Azeez A. Barzinjy
Summary: Conventional lime-based roof and screed pastes (LRP) are complex systems composed of various ingredients and binders. Lime pastes exhibit durability, flexibility, breathability, and moisture transfer properties. Thermal analysis and compressive strength tests were used to evaluate LRP, demonstrating its high heat resistance and strength improvement with heat treatment.
JOURNAL OF BUILDING ENGINEERING
(2023)
Article
Materials Science, Multidisciplinary
Peyman K. Aspoukeh, Azeez A. Barzinjy, Samir M. Hamad
Summary: ZnO nanorods were synthesized using the chemical deposition method on a substrate with a seed layer. The biosynthesized ZnO nanoparticles were applied on a glass substrate with Thymus Kotschyanus extract. XRD analysis showed that with higher precursor concentrations, the nanorods were grown primarily along the (002) plane, indicating crystal growth along the c-axis. However, at precursor concentrations of 0.02 and 0.05 Mol, the nanorods were mostly aligned along the (100), (002), and (101) planes. The presence of ZnO nanorods in a hexagonal-wurtzite structure favored orientation along the c-axis. With increasing precursor concentrations, the dispersion of ZnO nanoparticles became denser, the absorption peaks red-shifted, and the bandgap energy of the biosynthesized ZnO decreased.
JOURNAL OF MATERIALS RESEARCH
(2023)
Article
Nanoscience & Nanotechnology
Samir Mustafa Hamad, Azeez Abdullah Barzinjy, Raghda Rafigh, Parwin Jalil, Yousef Mirzaei, Dilshad Shaikhah
Summary: This study developed a green synthesis method for ZnO/CuO nanocomposites using parsley extract and evaluated their in vitro anticoccidial properties. The synthesized nanocomposites showed significant inhibitory effects on coccidia, with notable changes in morphology and structure. Therefore, these parsley-extract-synthesized nanocomposites have promising potential for the treatment of coccidiosis.
ACS APPLIED BIO MATERIALS
(2023)
Article
Nanoscience & Nanotechnology
Peyman K. Aspoukeh, Azeez A. Barzinjy, Samir M. Hamad
Summary: This research introduces a novel method for synthesizing zinc oxide nanorods on a glass substrate using Thymus kotschyanus plant extract. The study investigates the effects of ammonium hydroxide and precursor concentrations on the morphology, size, alignment, and crystalline structure of the nanorods. The findings highlight the importance of specific concentrations of these substances in the formation and properties of the nanorods.
Article
Chemistry, Multidisciplinary
Soma Majedi, Faiq H. S. Hussain, Azeez A. Barzinjy, Maryam Hosseinpoor Tehrani, Farouq E. Hawaiz
Summary: This study utilized Dill (Anethum graveolens) leaf extract to produce Zinc Oxide Nanoparticles (ZnO NPs) as a highly efficient nanocatalyst for the green preparation of 1H- pyrazolo[1,2-a]pyridazine-5,8-diones. The ZnO NPs formed are spherical, monodisperse, highly crystalline, and have a wide band gap of 3.56 eV. The protocols in this study showed good yields, short reaction times, and the ability to easily recover the catalyst.
NEW JOURNAL OF CHEMISTRY
(2023)
Article
Engineering, Environmental
Shelan M. Mustafa, Azeez A. Barzinjy, Abubaker H. Hamad
Summary: Global warming poses a threat to human health due to increasing pollutants produced by various products. The Green synthesis method effectively eliminates toxic effects caused by wet-chemical synthesis. ZnO nanoparticles doped with Co2+ and Mn2+ ions were designed at a low temperature, using a sustainable method with dandelion leaf extract. The nanoparticles showed enhanced crystallinity and confirmed crystal phase, purity, and grain size through XRD analysis. SEM and TEM images revealed spherical-shaped particles with a size below 100 nm.
JOURNAL OF ENVIRONMENTAL CHEMICAL ENGINEERING
(2023)
Article
Materials Science, Biomaterials
Azeez Abdullah Barzinjy, Samir Mustafa Hamad, Vinos Mushir Faris, Ahmed Fattah Abdulrahman, Mohammad Mansoob Khan, Amir Abdulrahman Ahmad
Summary: A low-cost and environmentally friendly method using weeping willow leaf extract as a reducing agent was employed for synthesizing magnetite nanoparticles (Fe3O4 NPs). The synthesized NPs showed plasmonic properties under solar radiation and were able to significantly raise the temperature of water. The optimal pH value for the Fe3O4 NPs was found to be 6, resulting in high stability and a dramatic increase in water temperature.
BIOMATERIALS SCIENCE
(2023)
Article
Public, Environmental & Occupational Health
Azeez A. Barzinjy, Kareem F. Aziz, Bashdar M. Hussen, Saleem S. Qader, Samir M. Hamad, Arez S. Qader, Abdullah L. Jamal
Summary: This study examines the sources of information and protective practices related to COVID-19 among the population in the Kurdistan Region/Iraq. The majority of individuals rely on TV broadcasts for COVID-19 updates, and there is a strong association between infection prevention and control practices and COVID-19. However, there is no significant association between other causes such as cancer, heart diseases, diabetes, road traffic accidents, and death probability.
JOURNAL OF PUBLIC HEALTH-HEIDELBERG
(2023)
Review
Physics, Multidisciplinary
Banaz S. Haji, Azeez A. Barzinjy
Summary: Nanoparticles, with their wide range of applications, are being synthesized through physical, chemical, and biological methods. Green synthesis, using plant extracts with high reducing ability, offers an alternative to the traditional methods. This study focuses on the green synthesis of silver nanoparticles and evaluates the trends, plant sources, and proposed mechanisms.
JORDAN JOURNAL OF PHYSICS
(2022)
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)
