Numerical analysis of MHD Jeffrey hybrid nanofluid flow over a solar curved sheet using ANN model Seethi Reddy Reddisekhar Reddy, P. Vijayalakshmi, Maduru Lakshmi Rupa, Sai Avanthika, A. Maanav, Shaik Jakeer Discover Nano, 2026 The conversion of solar radiation into thermal energy has gained increasing attention due to the growing demand for renewable sources of heat and electricity. Nanofluids, owing to their enhanced heat transfer capabilities, play a significant role in improving the efficiency of solar thermal systems. In this study, the flow of silicone oil containing diamond and silicon dioxide nanoparticles over a curved extended permeable sheet is investigated in the presence of Darcy-Forchheimer porous medium, thermal radiation, and Lorentz force. The non-Newtonian behavior of the working fluid is modeled using the Jeffrey fluid model. The governing flow equations are transformed into ordinary differential equations (ODEs) and solved numerically using the MATLAB bvp4c solver. Furthermore, an intelligent computational approach based on the Levenberg-Marquardt algorithm combined with a multilayer perceptron (MLP) feed-forward backpropagation artificial neural network is employed. The effects of key parameters, including the Deborah number, injection/suction parameter, permeability parameter, Forchheimer number, Hartmann number, curvature parameter, Prandtl number, Eckert number, and heat generation/absorption parameter, are analyzed in terms of pressure, velocity, temperature, and heat transfer rate. The results indicate that porous resistance and magnetic effects significantly influence boundary layer formation and heat extraction efficiency, showing that optimally adjusted hybrid nanofluids can greatly enhance thermal transfer in porous solar collectors and curved absorber surfaces, thus providing valuable insights for the design of advanced solar thermal systems.
Heat Generation Effects on MHD Natural Convection With Al2O3–Cu/Water Nanofluid in a Wavy Porous Cavity Using Local Thermal Non-Equilibrium Condition Hossam A. Nabwey, Shaik Jakeer, M. A. Mansour, A. M. Rashad, T. Salah, S. R. Reddy, Mohamed M. Awad ZAMM Zeitschrift Fur Angewandte Mathematik Und Mechanik, 2026 This study investigates free convection of energy and flow behavior within a C‐shaped wavy porous cavity containing Al 2 O 3 –Cu/H 2 O hybrid nanofluid, while accounting for the effects of an inclined magnetic field and an internal heat source/sink. The model utilizes a local thermal non‐equilibrium (LTNE) strategy to precisely represent the interaction between the nanofluid and the solid matrix. The dimensionless governing equations are resolved via the finite difference approach within a MATLAB setup. A comprehensive parametric study is conducted by altering the Rayleigh number, Hartmann number, Darcy number, porosity, cavity shape, nanoparticle volume percentage, and thermal source/sink intensity in both two‐dimensional and three‐dimensional domains. The findings demonstrate that increasing the Rayleigh number enhances convective flow and improves thermal transfer within the cavity. When fluid velocity is suppressed by strong magnetic fields, the system transitions to conduction‐dominated thermal transfer. The integration of Al 2 O 3 –Cu hybrid nanofluid markedly enhances heat transmission owing to its exceptional thermal conductivity. Alterations in cavity geometry and heater length affect vortex formation, streamline circulation, and localized heat transfer rates. The average heat transfer results validate the thermal efficiency of hybrid nanofluids in enhancing free convection. These insights enhance the design of passive cooling systems for applications in electronic cooling, thermal insulation, and energy system optimization. An increase in the Darcy number indicates higher permeability of the porous medium, which enhances fluid flow and consequently improves heat transfer efficiency.
Machine learning approach for predicting heat and mass transfer in Maxwell–Sutterby fluid flow over a Riga plate geometry via Levenberg–Marquardt backpropagation neural network algorithm: influence of joule heating and activation energy Gunisetty Ramasekhar, Muhammad Jawad, Shaik Jakeer, Seethi Reddy Reddisekhar Reddy, Walid Abdelfattah, Hakim AL Garalleh, Sarfaraz Kamangar Results in Physics, 2026 • Coupled Maxwell–Sutterby nanofluid with activation energy and motile microorganisms over a Riga plate has not been previously investigated. • Incorporation of variable thermal conductivity and Nield boundary conditions within this framework provides new insights into heat and mass transport mechanisms. • Artificial Neural Network (ANN) modelling integrated with bvp5c solutions is applied for predictive analysis and validation, showing strong agreement and offering a computationally efficient alternative. • The results reveal new correlations between Hartmann number, thermal radiation, and thermophoresis effects on velocity, temperature, concentration, and microorganism density distributions. • The study also reports, for the first time, that increasing activation energy reduces reactive species concentration while motile microbe dynamics stabilize the flow, highlighting combined effects not addressed in earlier works. Activation energy is vital in chemical kinetics, influencing reaction rates and aiding in understanding and optimizing various industrial processes. This research aims to investigate the significance of activation energy on magnetized flow of Maxwell–Sutterby fluid bounded by Riga plate in the presence of motile microbes. For the inspiration of problem, the influence of variable thermal conductivity along with Nield boundary conditions are deliberated with ANNs modelling. The theory of heat transfer with joule heating and thermal radiation is measured. The governing PDEs of Maxwell–Sutterby fluid is transformed into nonlinear ODEs via similarity platform. The couple of obtained ODEs is solved via bvp5c in MATLAB then ANN is applied with Levenberg Marquardt training approach to them. The back propagation neural network is used to forecast the intended results. Graphical and tabulated outcomes are carryout for involved profiles such that fluids velocity f ′ , temperature θ , concentration ϕ and microbes χ over prominent parameters of interests. Further the graphs of physical quantities are also plotted. It is noticed that the skin friction factor C f falls as the Hartmann number H rises, indicating a decline in surface shear stress. Conversely, the Nusselt number Nu boosts for developed values of H , indicating improved heat transfer at the surface. Furthermore, a rise in the thermophoresis parameter Nt improves the volumetric concentration distribution.
Leveraging hybrid model for accurate sentiment analysis of Twitter data Naga Surekha Jonnala, A. V. S. Ram Teja, S. Raja Rajeswari, Shaik Jakeer, Allamsetty Dheeraj, Shonak Bansal, Krishna Prakash, Shashank Singh, Mohammad Rashed Iqbal Faruque, K. S. Al-mugren Scientific Reports, 2025 Sentiment analysis has emerged as a vital tool for gauging public opinion in today's fast-paced digital environment. This study examines the use of advanced artificial intelligence techniques to analyze sentiments derived from Twitter, a leading platform for real-time social media engagement. By utilizing Twitter's vast dataset, the research implements a comprehensive pre-processing pipeline that incorporates natural language processing (NLP) techniques such as tokenization, stop-word removal, and stemming to prepare the textual data for analysis. For feature representation, the study employs Bi-Directional Long Short-Term Memory (Bi-LSTM) networks, which are highly effective in identifying sequential patterns within text data. The extracted features are then input into a Logistic Regression model with optimized hyperparameters to classify sentiments as positive or negative. Experimental results highlight the efficacy of this integrated approach, achieving an impressive 81.8% precision, 83.4% recall, 82.5% F1-score, and 82.32% accuracy. These outcomes underscore the strength of combining Bi-LSTM and Logistic Regression for sentiment analysis, offering a robust framework for analyzing unstructured textual data in social media contexts. This approach demonstrates significant potential for enhancing sentiment classification tasks in the ever-evolving digital landscape.
Heat transfer analysis of Al₂O₃–Cu/water nanofluid in a C-shaped wavy cavity under inclined magnetic effects M.M. Nour, Shaik Jakeer, M.A. Mansour, A.M. Rashad, T. Salah, Mohamed M. Awad, Abdallah Eldreham, Hossam A. Nabwey International Journal of Thermofluids, 2025 This study investigates the thermal dynamics of a C-shaped, wavy, porous cavity filled with Al₂O₃-Cu/H₂O hybrid nanofluids, influenced by an inclined magnetic field and a heat source/sink. The governing equations are non-dimensionalized and resolved using the finite difference method in a proprietary MATLAB solver. The study investigates the influence of numerous dimensionless parameters such as length of heat position( B = 0.2, 0.4, 0.8), heat source/sink ( Q = −4, 0, 1), Porosity ( ∈ =0.1, 0.3, 0.9), Rayleigh number( Ra = 10, 100, 10000), Hartmann number( Ha = 0, 25, 50),length of a cavity ( H = 0.5, 10, 100), length of ED/H ( L 2 = 0.2, 0.4, 0.6) and distance of AD/H ( L 1 = 0.2, 0.4, 0.6)are analyzed. The findings demonstrate that an elevated Rayleigh number augments convection, whilst increased porosity promotes heat transfer efficiency. The Al₂O₃-Cu/H₂O hybrid nanofluids markedly improve heat transfer owing to their exceptional thermal conductivity. The average Nusselt number validates the efficacy of hybrid nanofluids in enhancing thermal performance. The results indicate that hybrid nanofluids enhance heat transfer, while magnetic fields hinder convection, and the cavity shape influences flow patterns. By limiting convective flow, an increased Hartmann number leads to heat transport that is dominated by conduction. Additionally, the length of the heater has a direct influence on the generation of vortices and the enhancement of localized heat and heat transfer.
Numerical investigation of Casson fluid flow performance of blood containing gold and Fe 3 O 4 nanofluid injected into a stenotic artery G Ramasekhar, J Shaik, SR Reddisekhar Reddy, A Divya, M Jawad, ... Numerical Heat Transfer, Part A: Applications 87 (1), 2372465 , 2026 2026 Citations: 27
Influence of EMHD flow of a non-Newtonian ternary hybrid nanofluid over a variable thickness surface with thermal effects and Cattaneo-Christov heat flux: Applications in … M Kaleeswari, AR Kotte, ML Rupa, SRR Reddy, S Jakeer Indian Journal of Chemical Technology (IJCT) 33 (3), 444-455 , 2026 2026
Entropy Generation Analysis on Magnetohydrodynamic Flow of Hybrid Nanofluid Influenced by a Wedge and Plate with Different Methods: Solar Thermal Application G Ramasekhar, SRR Reddy, S Jakeer, CS Phanindra, DS Grace, ... Proceedings of the National Academy of Sciences, India Section A: Physical … , 2026 2026
Heat Generation Effects on MHD Natural Convection With Al 2 O 3 –Cu/Water Nanofluid in a Wavy Porous Cavity Using Local Thermal Non‐Equilibrium Condition HA Nabwey, S Jakeer, MA Mansour, AM Rashad, T Salah, SR Reddy, ... ZAMM‐Journal of Applied Mathematics and Mechanics/Zeitschrift für Angewandte … , 2026 2026
Thermal transport in single, binary and tri-hybrid nanofluid over porous medium for heat and aeronautical applications SV Padma, M Sanjalee, SRR Reddy, S Jakeer Discover Nano 21 (1), 155 , 2026 2026
Numerical analysis of MHD Jeffrey hybrid nanofluid flow over a solar curved sheet using ANN model SR Reddisekhar Reddy, P Vijayalakshmi, ML Rupa, S Avanthika, ... Discover Nano 21 (1), 154 , 2026 2026
Heat Transfer Analysis of Al₂O₃–Cu/Water Nanofluid in a C-Shaped Wavy Cavity under Inclined magnetic Effects MM Nour, S Jakeer, MA Mansour, AM Rashad, T Salah, MM Awad, ... International Journal of Thermofluids, 101510 , 2025 2025 Citations: 2
Homotopy Semi-numerical Modeling of Williamson Nanofluid Flow Over a Cone and Wedge with Entropy Generation G Ramasekhar, S Jakeer, SRR Reddy, H Verma, P Jayasri, ... Proceedings of the National Academy of Sciences, India Section A: Physical … , 2025 2025 Citations: 1
Machine learning approach for predicting heat and mass transfer in Maxwell–Sutterby fluid flow over a Riga plate geometry via Levenberg–Marquardt backpropagation neural network … G Ramasekhar, M Jawad, S Jakeer, SRR Reddy, W Abdelfattah, ... Results in Physics, 108528 , 2025 2025 Citations: 2
Entropy Optimization in Magnetic Blood-Based Fe₃O₄–Ti Hybrid Nanofluid Flow Using Machine Learning for Biomedical Engineering Applications J Jegan, R Elankavi, K Jagadeesh, K BNR, K Sathish, S Jakeer 2025
Numerical simulation and machine learning approach of Eyring-Powell dusty hybrid nanofluid flow of solar thermal applications S Vidhurathan, S Reddy Reddisekhar Reddy, H Thameem Basha, ... International Journal of Computer Mathematics 102 (11), 1697-1717 , 2025 2025 Citations: 9
Entropy generation on MHD hybrid nanofluid flow over a porous square cavity with a cross-shaped obstacle and heater corners HA Nabwey, S Jakeer, MA Mansour, T Salah, AM Rashad Journal of Thermal Analysis and Calorimetry 150 (22), 18405-18428 , 2025 2025 Citations: 9
Two-phase Carreau bio-magnetic hybrid nanofluid flow over an inclined spinning disk: numerical simulation and machine learning S Jakeer, DS Grace, P Durgaprasad, SRR Reddy, HT Basha Multiscale and Multidisciplinary Modeling, Experiments and Design 8 (8), 355 , 2025 2025 Citations: 10
Machine learning and numerical approach of heat transfer properties of two different kinds of hybrid nanofluids flow in a U-shaped cavity S Jakeer, P Durgaprasad, SR Gunakala, SRR Reddy, H Thameem Basha The European Physical Journal Special Topics, 1-28 , 2025 2025 Citations: 5
Impact of Arrhenius activation energy on magnetic nanofluid flow over a slendering stretchable sheet with nonlinear radiative heat transfer: A machine learning algorithm SRR Reddy, KR Sekhar, SK Charupalli, S Jakeer, M Lakshmi Rupa, ... Numerical Heat Transfer, Part B: Fundamentals 86 (7), 2278-2300 , 2025 2025 Citations: 17
Activation energy and Coriolis force impact on three-dimensional dusty nanofluid flow containing gyrotactic microorganisms: Machine learning and numerical approach S Jakeer, SRR Reddy, H Thameem Basha, J Cho, VE Sathishkumar Nanotechnology Reviews 14 (1), 20250179 , 2025 2025 Citations: 13
Numerical simulation of bio-magnetic nanofluid flow in the human circulatory system S Jakeer, S N, SR Reddisekhar Reddy Numerical Heat Transfer, Part A: Applications 86 (11), 3730-3758 , 2025 2025 Citations: 16
Entropy generation and heat transfer in a partly heated I-shaped porous enclosure with hybrid nanofluids under magnetic and radiative effects S Jakeer, HT Basha, SR Gunakala, SRR Reddy, U Moorthy, ... Journal of Radiation Research and Applied Sciences 18 (2), 101433 , 2025 2025 Citations: 11
Semi-analytical approach of rheological properties of blood/silver–gold hybrid nanofluid flow in a circular disk: application to the human circulatory systems G Ramasekhar, S Jakeer, SRR Reddy, AA SAI, P Durgaprasad, ... Journal of Mechanics in Medicine and Biology 25 (04), 2450050 , 2025 2025 Citations: 6
Multi-layer artificial neural network modeling of entropy generation on MHD stagnation point flow of Cross-nanofluid P Bala Anki Reddy, S Jakeer, H Thameem Basha, ... Waves in Random and Complex Media 35 (3), 5215-5242 , 2025 2025 Citations: 38
MOST CITED SCHOLAR PUBLICATIONS
Impact of heated obstacle position on magneto-hybrid nanofluid flow in a lid-driven porous cavity with Cattaneo-Christov heat flux pattern S Jakeer, PBA Reddy, AM Rashad, HA Nabwey Alexandria Engineering Journal 60 (1), 821-835 , 2021 2021 Citations: 149
Nonlinear analysis of Darcy-Forchheimer flow in EMHD ternary hybrid nanofluid (Cu-CNT-Ti/water) with radiation effect S Jakeer, SRR Reddy, AM Rashad, ML Rupa, C Manjula Forces in Mechanics 10, 100177 , 2023 2023 Citations: 95
Radiative effects on unsteady MHD natural convection flow in an inclined wavy porous cavity using hybrid nanofluid containing a square obstacle HA Nabwey, AM Rashad, PBA Reddy, S Jakeer, MA Mansour, T Salah Alexandria Engineering Journal 65, 921-937 , 2023 2023 Citations: 89
Double diffusion effect on the bio-convective magnetized flow of tangent hyperbolic liquid by a stretched nano-material with Arrhenius Catalysts YM Chu, S Jakeer, SRR Reddy, ML Rupa, Y Trabelsi, MI Khan, HA Hejazi, ... Case Studies in Thermal Engineering 44, 102838 , 2023 2023 Citations: 85
Entropy generation on EMHD stagnation point flow of hybrid nanofluid over a stretching sheet: homotopy perturbation solution S Jakeer, P Bala Anki Reddy Physica Scripta 95 (12), 125203 , 2020 2020 Citations: 85
Entropy generation on the variable magnetic field and magnetohydrodynamic stagnation point flow of Eyring–Powell hybrid dusty nanofluid: Solar thermal application S Jakeer, PBA Reddy Proceedings of the Institution of Mechanical Engineers, Part C: Journal of … , 2022 2022 Citations: 45
Heat transfer exploration for bioconvected tangent hyperbolic nanofluid flow with activation energy and joule heating induced by Riga plate G Ramasekhar, M Jawad, A Divya, S Jakeer, HA Ghazwani, MR Almutiri, ... Case Studies in Thermal Engineering 55, 104100 , 2024 2024 Citations: 42
Entropy generation due to magneto-natural convection in a square enclosure with heated corners saturated porous medium using Cu/water nanofluid PBA Reddy, T Salah, S Jakeer, MA Mansour, AM Rashad Chinese Journal of Physics 77, 1863-1884 , 2022 2022 Citations: 39
Multi-layer artificial neural network modeling of entropy generation on MHD stagnation point flow of Cross-nanofluid P Bala Anki Reddy, S Jakeer, H Thameem Basha, ... Waves in Random and Complex Media 35 (3), 5215-5242 , 2025 2025 Citations: 38
Artificial neural network model of non-Darcy MHD Sutterby hybrid nanofluid flow over a curved permeable surface: Solar energy applications S Jakeer, ML Rupa, SRR Reddy, AM Rashad Propulsion and Power Research 12 (3), 410-427 , 2023 2023 Citations: 36
Characteristics of moving hot block and non-Fourier heat flux model on sinusoidal wavy cavity filled with hybrid nanofluid J Shaik, BAR Polu, M Mohamed Ahmed, R Ahmed Mohamed The European Physical Journal Plus 137 (1), 131 , 2022 2022 Citations: 36
Numerical study of TC4-NiCr/EG+ Water hybrid nanofluid over a porous cylinder with Thompson and Troian slip boundary condition: Artificial neural network model SRR Reddy, S Jakeer, VE Sathishkumar, HT Basha, J Cho Case Studies in Thermal Engineering 53, 103794 , 2024 2024 Citations: 35
Numerical investigation of Casson fluid flow performance of blood containing gold and Fe 3 O 4 nanofluid injected into a stenotic artery G Ramasekhar, J Shaik, SR Reddisekhar Reddy, A Divya, M Jawad, ... Numerical Heat Transfer, Part A: Applications 87 (1), 2372465 , 2026 2026 Citations: 27
Magnetic convection-radiation interaction in wavy porous triangular containers using hybrid nanofluids: Entropy analysis SE Ahmed, PBA Reddy, S Jakeer, AM Rashad, T Salah Journal of Porous Media 26 (5) , 2023 2023 Citations: 25
Heat transfer innovation of engine oil conveying SWCNTs-MWCNTs-TiO 2 nanoparticles embedded in a porous stretching cylinder G Ramasekhar, A Divya, S Jakeer, SRR Reddy, EA Algehyne, M Jawad, ... Scientific Reports 14 (1), 16448 , 2024 2024 Citations: 24
ANN model of three-dimensional micropolar dusty hybrid nanofluid flow with coriolis force: biomedical applications: SRR Reddy et al. SRR Reddy, S Jakeer, ML Rupa Indian Journal of Physics 97 (13), 3801-3825 , 2023 2023 Citations: 23
Entropy generation and Melting heat transfer on the Ferrohydrodynamic flow of Fe 3 O 4-Ag/blood hybrid nanofluid with Cattaneo–Christov heat flux model TB Jakeer, S, P., Reddy, SRR Waves Random Complex Media, 1-24 , 2023 2023 Citations: 22
Homotopy perturbation method solution of magneto-polymer nanofluid containing gyrotactic microorganisms over the permeable sheet with Cattaneo–Christov heat and mass flux model S Jakeer, BAR Polu Proceedings of the Institution of Mechanical Engineers, Part E: Journal of … , 2022 2022 Citations: 22
Exploring the influence of induced magnetic fields and double-diffusive convection on carreau nanofluid flow through diverse geometries: a comparative study using numerical and … S Jakeer, SRR Reddy, SV Easwaramoorthy, HT Basha, J Cho Mathematics 11 (17), 3687 , 2023 2023 Citations: 21
Competence of magnetic dipole and radiation on permeable surface using prescribed heat flux/prescribed surface temperature and homogeneous-heterogeneous reactions S Jakeer, PBA Reddy Special Topics & Reviews in Porous Media: An International Journal 12 (6) , 2021 2021 Citations: 20