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Regression analysis of squeezing-induced hybrid nanofluid flow in Darcy-Forchheimer porous medium

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Applied Mathematics and Mechanics(English Edition) 2025年第1期46卷 193-208页

作者： k.MUHAMMAD M.sARFRAZ Department of Humanities and sciences School of Electrical Engineering and Computer Science National University of Sciences and Technology Department of Mathematics Quaid-i-Azam University

This article presents a mathematical model addressing a scenario involving a hybrid nanofluid flow between two infinite parallel plates. One plate remains stationary, while the other moves downward at a squeezing velocity. The space between these plates contains a Darcy-Forchheimer porous medium. A mixture of water-based fluid with gold(Au) and silicon dioxide(si O2) nanoparticles is formulated. In contrast to the conventional Fourier's heat flux equation, this study employs the Cattaneo-Christov heat flux equation. A uniform magnetic field is applied perpendicular to the flow direction, invoking magnetohydrodynamic(MHD) effects. Further, the model accounts for Joule heating, which is the heat generated when an electric current passes through the fluid. The problem is solved via NDsolve in MATHEMATICA. Numerical and statistical analyses are conducted to provide insights into the behavior of the nanomaterials between the parallel plates with respect to the flow, energy transport, and skin *** findings of this study have potential applications in enhancing cooling systems and optimizing thermal management strategies. It is observed that the squeezing motion generates additional pressure gradients within the fluid, which enhances the flow rate but reduces the frictional drag. Consequently, the fluid is pushed more vigorously between the plates, increasing the flow velocity. As the fluid experiences higher flow rates due to the increased squeezing effect, it spends less time in the region between the plates. The thermal relaxation, however, abruptly changes the temperature, leading to a decrease in the temperature fluctuations.

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Binary Image Reconstruction Based on Prescribed Numerical Information

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Acta Mathematicae Applicatae sinica 2015年第2期31卷 519-528页

作者： k.G.subramanian Pradeep Isawasan Rahmat Budiarto Ibrahim Venkat school of Computer sciences Universiti Sains Malaysia Networked Computing Center Surya University

The problem of reconstruction of a binary image in the field of discrete tomography is a classic instance of seeking solution applying mathematical techniques. Here two such binary image reconstruction problems are considered given some numerical information on the image. Algorithms are developed for solving these problems and correctness of the algorithms are discussed.

关键词： discrete tomography and binary image and reconstruction and subwords and Parikh matrix

Efficient WENO-Based Prolongation strategies for Divergence-Preserving Vector Fields

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Communications on Applied Mathematics and Computation 2023年第1期5卷 428-484页

作者： Dinshaw s.Balsara saurav samantaray sethupathy subramanian Department of Physics University of Notre DameNotre DameINUSA Department of ACMs University of Notre DameNotre DameINUSA

Adaptive mesh refinement(AMR)is the art of solving PDEs on a mesh hierarchy with increasing mesh refinement at each level of the *** treatment on AMR hierarchies requires accurate prolongation of the solution from a coarse mesh to a newly defined finer *** scalar variables,suitably high-order finite volume WENO methods can carry out such a ***,classes of PDEs,such as computational electrodynamics(CED)and magnetohydrodynamics(MHD),require that vector fields preserve a divergence *** primal variables in such schemes consist of normal components of the vector field that are collocated at the faces of the *** a result,the reconstruction and prolongation strategies for divergence constraint-preserving vector fields are necessarily more *** this paper we present a fourth-order divergence constraint-preserving prolongation strategy that is analytically *** to higher orders using analytically exact methods is very *** overcome that challenge,a novel WENO-like reconstruction strategy is invented that matches the moments of the vector field in the faces,where the vector field components are *** approach is almost divergence constraint-preserving,therefore,we call it *** make it exactly divergence constraint-preserving,a touch-up procedure is developed that is based on a constrained least squares(CLsQ)method for restoring the divergence constraint up to machine *** the touch-up,it is called *** is shown that refinement ratios of two and higher can be *** item of broader interest in this work is that we have also been able to invent very efficient finite volume WENO methods,where the coefficients are very easily obtained and the multidimensional smoothness indicators can be expressed as perfect *** demonstrate that the divergence constraint-preserving strategy works at several high orders for divergence-free vector fields as well as vecto

关键词： PDEs Numerical schemes Mimetic

A Continuous Action space Tree search for INverse desiGn (CAsTING) framework for materials discovery

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npj Computational Materials 2023年第1期9卷 500-515页

作者： suvo Banik Troy Loefller sukriti Manna Henry Chan srilok srinivasan Pierre Darancet Alexander Hexemer subramanian k.R.s.sankaranarayanan Center for Nanoscale Materials Argonne National LaboratoryLemontIL 60439USA Department of Mechanical and Industrial Engineering University of IllinoisChicagoIL 60607USA Advanced Light source(ALs)Division Lawrence Berkeley National LaboratoryBerkeleyCA 94720USA

Material properties share an intrinsic relationship with their structural attributes,making inverse design approaches crucial for discovering new materials with desired *** Learning(RL)approaches are emerging as powerful inverse design tools,often functioning in discrete action *** constrains their application in materials design problems,which involve continuous search ***,we introduce an RL-based framework CAsTING(Continuous Action space Tree search for inverse design),that employs a decision tree-based Monte Carlo Tree search(MCTs)algorithm with continuous space adaptation through modified policies and *** representative examples like silver(Ag)for metals,Carbon(C)for covalent systems,and multicomponent systems such as graphane,boron nitride,and complex correlated oxides,we showcase its accuracy,convergence speed,and scalability in materials discovery and ***,with the inverse design of super-hard Carbon phases,we demonstrate CAsTING’s utility in discovering metastable phases tailored to user-defined target properties and preferences.

关键词： Action framework Tree

3D integration review

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science China(Information sciences) 2011年第5期54卷 1012-1025页

作者： FAROOQ Mukta G. IYER subramanian s. IBM Corporation Semiconductor Research & Development Center Hopewell Junction NY 12533 USA

3-D integration delivers value by increasing the volumetric transistor density with the potential benefit of shorter electrical path lengths through use of the shorter third dimension. several researchers have studied various aspect of 3Di such as bonding level, through silicon via processes and integration, thermomechanical reliability of the vias, and the impact of the vias on devices. In this paper, we review some of the literature with a view to understanding the key options and challenges in 3Di. We also discuss some important applications of this technology, and the constraints that have to be overcome to make it work.

关键词： 3D integration embedded memory through silicon via die stacking

Acoustical properties of a 3D printed honeycomb structure filled with nanofillers:Experimental analysis and optimization for emerging applications

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Defence Technology（防务技术） 2024年第5期35卷 248-258页

作者： Jeyanthi subramanian Vinoth kumar selvaraj Rohan singh Ilangovan s Naresh kakur Ruban Whenish school of Mechanical Engineering Vellore Institute of TechnologyChennai600127Tamil NaduIndia Department of Mechanical Engineering SRM Institute of Science and TechnologyRamapuramChennai600089India Department of Chemical Engineering and Materials science University of Southern CaliforniaLos Angeles90089USA Advanced Materials Research Centre Technology Innovation InstituteAbu Dhabi9639UAE Center for Biomaterials Cellular and Molecular TheranosticsVellore Institute of TechnologyVellore632014Tamil NaduIndia

The novelty of this research lies in the successful fabrication of a 3D-printed honeycomb structure filled with nanofillers for acoustic properties,utilizing an impedance tube setup in accordance with AsTM standard E *** Creality Ender-3,a 3D printer,was used for printing the honeycomb structures,and polylactic acid(PLA)material was employed for their *** organic,inorganic,and polymeric compounds within the composites were identified using fourier transformation infrared(FTIR)*** structure and homogeneity of the samples were examined using a field emission scanning electron microscope(FEsEM).To determine the sound absorption coefficient of the 3D printed honeycomb structure,numerous samples were systematically developed using central composite design(CCD)and analysed using response surface methodology(RsM).The RsM mathematical model was established to predict the optimum values of each factor and noise reduction coefficient(NRC).The optimum values for an NRC of 0.377 were found to be 1.116 wt% carbon black,1.025 wt% aluminium powder,and 3.151 mm distance between parallel ***,the results demonstrate that a 3Dprinted honeycomb structure filled with nanofillers is an excellent material that can be utilized in various fields,including defence and aviation,where lightweight and acoustic properties are of great importance.

关键词： 3D printing Honeycomb structure Acoustics Field emission scanning electron microscope Response surface methodology

Revisiting cerebral endothelial cells in Alzheimer’s disease

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Neural Regeneration Research 2025年第10期20卷 2911-2912页

作者： Amira s.Hanafy Department of Neurosurgery University Hospital BonnBonnGermany

Alzheimer’s disease(AD)is the most common neurodegenerative disorder characterized by slow and progressive decline of cognitive and memory *** only approximately 5%of the cases,AD is familial,as often predisposed by genetic mutations(Hoogmartens et al.,2021),while sporadic AD accounts for approximately 95%of the *** amyloid cascade hypothesis is one of the fundamental hypotheses put out to explain AD pathogenesis as dysregulated homeostasis of amyloid-β(Aβ)peptides that leads to the accumulation of Aβplaques in the parenchyma,an anatomical hallmark of AD.

关键词： Alzheimer Aβ cerebral

A systematic review of progenitor survival and maturation in Parkinsonian models

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Neural Regeneration Research 2025年第11期20卷 3172-3178页

作者： Giulia Comini Eilís Dowd Pharmacology&Therapeutics and Galway Neuroscience Center University of GalwayGalwayIreland

stem cell-based brain repair is a promising emergent therapy for Parkinson's disease based on years of foundational research using human fetal donors as a cell *** current therapeutic options for patients,this approach has the potential to provide longterm stem cell–derived reconstruction and restoration of the dopaminergic input to denervated regions of the brain allowing for restoration of certain functions to *** ultimate clinical success of stem cell–derived brain repair will depend on both the safety and efficacy of the approach and the latter is dependent on the ability of the transplanted cells to survive and differentiate into functional dopaminergic neurons in the Parkinsonian *** the pre-clinical literature suggests that there is considerable variability in survival and differentiation between studies,the aim of this systematic review was to assess these parameters in human stem cell-derived dopaminergic progenitor transplant studies in animal models of Parkinson's disease.A defined systematic search of the PubMed database was completed to identify relevant studies published up to March *** screening,76 articles were included in the analysis from which 178 separate transplant studies were *** these,graft survival could be assessed in 52 studies and differentiation in 129 ***,we found that graft survival ranged froms transplanted,with a median of 51%of transplanted cells surviving in the brain;while dopaminergic differentiation of the cells ranged from 0% to 46% of cells transplanted with a median of 3%.This systematic review suggests that there is considerable scope for improvement in the differentiation of stem cell-derived dopaminergic progenitors to maximize the therapeutic potential of this approach for patients.

关键词： cell replacement therapy differentiation embryonic stem cells graft induced pluripotent stem cells Parkinson's disease survival transplant

Cost Effective Optimal Task scheduling Model in Hybrid Cloud Environment

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Computer systems science & Engineering 2022年第9期42卷 935-948页

作者： M.Manikandan R.subramanian M.s.kavitha s.karthik Department of Computer science&Engineering Sri Krishna College of Engineering and TechnologyCoimbatore641008India Department of Electrical and Electronics Engineering SNS College of TechnologyCoimbatore641035India Department of Computer science&Engineering SNS College of TechnologyCoimbatore641035India

In today’s world, Cloud Computing (CC) enables the users to accesscomputing resources and services over cloud without any need to own the infrastructure. Cloud Computing is a concept in which a network of devices, located inremote locations, is integrated to perform operations like data collection, processing, data profiling and data storage. In this context, resource allocation and taskscheduling are important processes which must be managed based on the requirements of a user. In order to allocate the resources effectively, hybrid cloud isemployed since it is a capable solution to process large-scale consumer applications in a pay-by-use manner. Hence, the model is to be designed as a profit-driven framework to reduce cost and make span. With this motivation, the currentresearch work develops a Cost-Effective Optimal Task scheduling Model(CEOTs). A novel algorithm called Target-based Cost Derivation (TCD) modelis used in the proposed work for hybrid clouds. Moreover, the algorithm workson the basis of multi-intentional task completion process with optimal resourceallocation. The model was successfully simulated to validate its effectivenessbased on factors such as processing time, make span and efficient utilization ofvirtual machines. The results infer that the proposed model outperformed theexisting works and can be relied in future for real-time applications.

关键词： Cost effectiveness hybrid cloud optimal task scheduling virtual machine resource allocation make span