{"title":"Nonlinear dynamics of dissipative oscillatory Jeffrey fluid flow via tapered wavy walls: exploration of irreversibility and entropy generation analysis","authors":"P. Vaidehi, J. Sasikumar","doi":"10.1140/epjs/s11734-024-01266-4","DOIUrl":"https://doi.org/10.1140/epjs/s11734-024-01266-4","url":null,"abstract":"<p>The primary objective of the present study is to explore the novelty in the analysis of entropy generation introduced in the oscillatory flow of Jeffrey fluid through an asymmetric tapered wavy channel subjected to Lorentz force and thermal radiation. It has diverse applications in a range of disciplines: automotive elastomers in the material selection process, soft tissue mechanics modeling in biomechanics, extrusion and injection molding optimization in polymer processing, rheological test design and data interpretation in rheology. The unique nature of the tapered wavy shape in the channel and its influence on the velocity profile of MHD oscillatory Jeffrey fluid flow represents a novel element that has not been extensively explored previously. The governing equations are transformed into a system of nonlinear differential equations using non-similarity transformations. The transient system of dimensionless partial differential equations (PDEs) is solved using an implicit finite difference numerical scheme called the Crank-Nicolson method. Incorporating relevant parameters, the exact behavior of the flow with respect to velocity, temperature and volumetric rate of entropy generation is graphically depicted. The increase in entropy generation with a higher Brinkman number implies that the enhanced influence of the porous structure leads to greater irreversibility in the Jeffrey fluid flow. A comparative study is carried out to characterize Newtonian and Jeffrey fluid behavior by analyzing the velocity and temperature profiles. Finally, the findings of the current study have been compared to those of earlier studies. The comparison is seen to bear a good agreement with the existing literature.</p>","PeriodicalId":501403,"journal":{"name":"The European Physical Journal Special Topics","volume":"49 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141872444","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Physical informed memory networks based on domain decomposition for solving nonlinear partial differential equations","authors":"Jiuyun Sun, Huanhe Dong, Mingshuo Liu, Yong Fang","doi":"10.1140/epjs/s11734-024-01263-7","DOIUrl":"https://doi.org/10.1140/epjs/s11734-024-01263-7","url":null,"abstract":"<p>In recent years, deep learning models have emerged as a popular numerical method for solving nonlinear partial differential equations (PDEs). In this paper, the improved physical informed memory networks (PIMNs) are introduced, which are constructed upon domain decomposition. In the improved PIMNs, the solution domain is decomposed into non-overlapping rectangular sub-domains. The loss for each sub-domain is computed independently, and an adaptive function is employed to dynamically adjust the coefficients of the loss terms. This approach significantly improves the PIMNs’ ability to train regions with high loss values. To validate the superiority of the improved PIMNs, the nonlinear Schrödinger equation, the KdV-Burgers equation, and the KdV-Burgers-Kuramoto equation are solved via both the original and the improved PIMNs. The experimental results clearly show that the improved PIMNs provide a significant enhancement in terms of solution accuracy compared to the original PIMNs.</p>","PeriodicalId":501403,"journal":{"name":"The European Physical Journal Special Topics","volume":"19 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141872441","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Elastic waves in a pre-stressed layered media","authors":"S. Selvi, R. Selvamani, S. Sabeena Begam","doi":"10.1140/epjs/s11734-024-01255-7","DOIUrl":"https://doi.org/10.1140/epjs/s11734-024-01255-7","url":null,"abstract":"<p>This study explores the propagation of S-waves in a layered medium characterized by anisotropy, non-homogeneity, incompressibility, pre-existing stress, and couple stress effects. The frequency equation that determines the phase velocity of shear waves, incorporating linear inhomogeneities, has been derived. Using numerical computations in MATLAB, the effects of varying initial stress, density, anisotropy, rigidity, and couple stress parameters on wave propagation are analysed. The findings are presented graphically, providing insights into how these factors influence phase velocity and improving our understanding of wave behaviour in complex media. These findings are not only instrumental in advancing fundamental understanding but also hold practical significance across diverse applications. For instance, in geotechnical engineering, this knowledge can inform the design of robust infrastructure capable of withstanding seismic events. In material science and manufacturing, they facilitate the development of resilient materials and structures.</p>","PeriodicalId":501403,"journal":{"name":"The European Physical Journal Special Topics","volume":"74 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141872502","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Remagnetization kinetics of soft ferrogels","authors":"A. Yu. Zubarev, L. Yu. Iskakova","doi":"10.1140/epjs/s11734-024-01227-x","DOIUrl":"https://doi.org/10.1140/epjs/s11734-024-01227-x","url":null,"abstract":"<p>We present the results of the theoretical analysis of remagnetization kinetics and magnetic hyperthermia effect in a single-domain ferromagnetic particle embedded in a soft elastic-viscous medium (gel or biological tissue for example). Unlike previous studies, we consider simultaneous action of both main mechanisms of particle remagnetization in an alternating magnetic field. Namely, (i) its body turn (rotation) with its magnetic moment and (ii) the Neel remagnetization through the potential barrier of the particle magnetic anisotropy. We suppose that the energy of the particle Zeeman interaction with the field is less than the energy of the anisotropy; no other restrictions on the field strength are assumed. In the linear, with respect to this field, approximation, the frequency dependences of the real and imaginary parts of the particle complex susceptibility are calculated in more details. The real part monotonic decreases with the field frequency. If the host medium is rigid enough, the imaginary part of the susceptibility has a maximum, corresponding to the Neel relaxation. In the soft system, it has maximum, reflecting the particle rotation in the field. In the intermediate case, our calculations demonstrate two maximums of the imaginary part. We hope the present results will be useful for the development of scientific basement of magnetic hyperthermia therapy of oncological diseases.</p>","PeriodicalId":501403,"journal":{"name":"The European Physical Journal Special Topics","volume":"305 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141774541","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Top-philic machine learning","authors":"Rahool Kumar Barman, Sumit Biswas","doi":"10.1140/epjs/s11734-024-01237-9","DOIUrl":"https://doi.org/10.1140/epjs/s11734-024-01237-9","url":null,"abstract":"<p>In this article, we review the application of modern machine learning (ML) techniques to boost the search for processes involving the top quarks at the LHC. We revisit the formalism of convolutional Neural networks (CNNs), graph neural networks (GNNs), and attention mechanisms. Based on recent studies, we explore their applications in designing improved top taggers, top reconstruction, and event classification tasks. We also examine the ML-based likelihood-free inference approach and generative unfolding models, focusing on their applications to scenarios involving top quarks.</p>","PeriodicalId":501403,"journal":{"name":"The European Physical Journal Special Topics","volume":"53 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141774542","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Hybrid LSTM-Markovian model for greenhouse power consumption prediction: a dynamical approach","authors":"Divyadharshini Venkateswaran, Yongyun Cho, Changsun Shin","doi":"10.1140/epjs/s11734-024-01244-w","DOIUrl":"https://doi.org/10.1140/epjs/s11734-024-01244-w","url":null,"abstract":"<p>In this paper, we consider the LSTM-Markov chain model, combining deep learning with statistical methods, to forecast greenhouse power consumption. By analyzing real-time data spanning two and a half years, the model captures temporal and sequential dependencies in seasonal energy usage patterns. Comparative analysis against CNN-LSTM, LSTM, and CNN models across different seasons highlights its superior accuracy and predictive capability. Particularly during seasonal transitions, the LSTM-Markov model demonstrates exceptional precision. Its effectiveness in optimizing resource allocation and enhancing energy efficiency in greenhouse operations offers valuable insights for stakeholders, enabling informed decision-making and sustainable agricultural practices.</p>","PeriodicalId":501403,"journal":{"name":"The European Physical Journal Special Topics","volume":"49 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141774548","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
K. Chandan, K. Karthik, K. V. Nagaraja, Naman Sharma, R. S. Varun Kumar, Taseer Muhammad
{"title":"Physics-informed Hermite neural networks for wetted porous fin under the local thermal non-equilibrium condition: application of clique polynomial method","authors":"K. Chandan, K. Karthik, K. V. Nagaraja, Naman Sharma, R. S. Varun Kumar, Taseer Muhammad","doi":"10.1140/epjs/s11734-024-01247-7","DOIUrl":"https://doi.org/10.1140/epjs/s11734-024-01247-7","url":null,"abstract":"<p>The proposed investigation highlights the thermal variation and heat transmission behavior of a wetted porous fin under a local thermal non-equilibrium state (LTNE). The fluid–solid interaction is governed by the Darcy formulation. The two-equation model of LTNE is utilized to depict the energy transfer for both the solid and fluid phases. The pertinent thermal distribution problems are represented as highly nonlinear ordinary differential equations (ODEs) with boundary conditions for both solid and fluid phases. The governing heat equations have been transformed into a non-dimensional form by employing dimensionless variables. The application of the clique polynomial method with Laplace–Pade approximant (CPMLPA) for these modified governing equations is the unique objective of the present research endeavor. Furthermore, physics-informed Hermite neural network (PIHNN) is employed to solve the resulting non-dimensional heat equations of the wetted porous fin. An explanation and visual demonstration of the impact of embedded thermal variables on the temperature profiles are provided. As the values of the convection–conduction and surface-ambient radiation parameters rise, the thermal profile diminishes. Augmentation of the Rayleigh number diminishes temperature dispersion in the fin. The upsurge in values of the radiation parameter intensifies the temperature profile. This study compares the temperature values of PIHNN, CPMLPA, and the clique polynomial method and reveals a strong correlation.</p>","PeriodicalId":501403,"journal":{"name":"The European Physical Journal Special Topics","volume":"83 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141774543","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Design of fuzzy dissipative sampled-data control for nonlinear wind turbine systems with random packet losses and communication delays","authors":"Anto Anbarasu Yesudhas, Syeong Ryong Lee, Jae Hoon Jeong, Young Hoon Joo","doi":"10.1140/epjs/s11734-024-01249-5","DOIUrl":"https://doi.org/10.1140/epjs/s11734-024-01249-5","url":null,"abstract":"<p>This article investigates a <span>(({mathscr {Q}},{mathscr {S}},{mathscr {R}}))</span>-<span>(upsilon )</span>-dissipativity-based fuzzy memory sampled-data design control (MSDC) for stabilizing a nonlinear wind turbine system (WTS) against random packet losses that uses a permanent magnet synchronous generator (PMSG). To do this, the proposed control method employs Takagi–Sugeno (T–S) fuzzy approach to convert the nonlinear model of the system into linear sub-systems. Moreover, a fuzzy MSDC is designed, and a proper Lyapunov–Krasovskii functional (LKF) is formulated using the knowledge of the sampling information. Subsequently, the looped-type LKF facilitates the establishment of criteria for stabilizing the PMSG-based WTS, taking into account the sampling interval duration and a consistent communication delay. Besides, the conditions are described as linear matrix inequalities (LMIs), ensuring global asymptotic stability and <span>(({mathscr {Q}},{mathscr {S}},{mathscr {R}})-upsilon -)</span> dissipative of T–S fuzzy systems with the suggested control mechanism. At last, the efficacy and superiority of the proposed approach are illustrated through numerical validations of the PMSG-based WTS.</p>","PeriodicalId":501403,"journal":{"name":"The European Physical Journal Special Topics","volume":"19 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141738595","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Hydrodynamics of flow sensing in plankton","authors":"Christophe Eloy","doi":"10.1140/epjs/s11734-024-01252-w","DOIUrl":"https://doi.org/10.1140/epjs/s11734-024-01252-w","url":null,"abstract":"<p>Planktonic organisms, despite their passive drift in the ocean, exhibit complex responses to fluid flow, including escape behaviors and larval settlement detection. But what flow signals can they perceive? This paper addresses this question by considering an organism covered with sensitive cilia and immersed in a background flow. The organism is modeled as a spherical particle in Stokes flow, with cilia assumed to measure the local shear at the particle surface. This study reveals that, while these organisms can always measure certain components of the flow strain, bottom-heaviness is necessary to measure the horizontal component of vorticity. These findings shed light on flow sensing by plankton, contributing to a better understanding of their behavior.</p>","PeriodicalId":501403,"journal":{"name":"The European Physical Journal Special Topics","volume":"46 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141738599","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Collisions of monopoles, disclinations and dislocations","authors":"Pawel Pieranski, Maria Helena Godinho","doi":"10.1140/epjs/s11734-024-01253-9","DOIUrl":"https://doi.org/10.1140/epjs/s11734-024-01253-9","url":null,"abstract":"<p>Motions and collisions of topological defects produced during symmetry breaking transitions is a crucial issue in cosmology and in condensed matter physics. Here, we deal with topological defects in nematics and cholesterics. Nematics may contain linear defects i.e. disclinations and point defects i.e. monopoles while cholesterics may contain linear defects of their 1D periodic order parameter, i.e. dislocations. The dowser texture appears as a natural universe of the nematic monopoles. They can be generated in it, set into motion and brought to collisions that may result in annihilation of pairs of monopoles. We show how to generate pairs of disclinations in twisted nematic cells by the isotropic-nematic transition in the presence of magnetic fields. When two such disclinations collide, i.e. enter into a contact at one point, an intercommutation or rewiring into a new pair of disclination can occur. We show how to bring these disclinations to collisions by means of an electric field and how to steer the rewiring by magnetic fields. For generation of dislocations in cholesteric we use a Grandjean–Cano wedge made of crossed cylindrical mica sheets. After their nucleation upon dilation, dislocation loops are growing and collide. Collision of dislocation loops can result in a trivial crossing or may produce a stable configuration called Lehmann cluster. Subsequently, upon application of a high enough tensile strain, the Lehmann splits into a pair of dislocations that can be entangled.</p>","PeriodicalId":501403,"journal":{"name":"The European Physical Journal Special Topics","volume":"76 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141738596","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}