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  • Open Access

    ARTICLE

    Gradient Descent-Based Prediction of Heat-Transmission Rate of Engine Oil-Based Hybrid Nanofluid over Trapezoidal and Rectangular Fins for Sustainable Energy Systems

    Maddina Dinesh Kumar1,#, S. U. Mamatha2, Khalid Masood3, Nehad Ali Shah4,#, Se-Jin Yook1,*

    CMES-Computer Modeling in Engineering & Sciences, Vol.146, No.1, 2026, DOI:10.32604/cmes.2025.074680 - 29 January 2026

    Abstract Fluid dynamic research on rectangular and trapezoidal fins is aimed at increasing heat transfer by means of large surfaces. The trapezoidal cavity form is compared with its thermal and flow performance, and it is revealed that trapezoidal fins tend to be more efficient, particularly when material optimization is critical. Motivated by the increasing need for sustainable energy management, this work analyses the thermal performance of inclined trapezoidal and rectangular porous fins utilising a unique hybrid nanofluid. The effectiveness of nanoparticles in a working fluid is primarily determined by their thermophysical properties; hence, optimising these properties… More >

  • Open Access

    ARTICLE

    Novel Analysis of SiO2 + ZnO + MWCNT-Ternary Hybrid Nanofluid Flow in Electromagnetic Squeezing Systems

    Muhammad Hamzah1, Muhammad Ramzan2,*, Abdulrahman A. Almehizia3, Ibrahim Mahariq4,5,6,7,8,*, Laila A. Al-Essa9, Ahmed S. Hassan10

    CMES-Computer Modeling in Engineering & Sciences, Vol.146, No.1, 2026, DOI:10.32604/cmes.2025.070435 - 29 January 2026

    Abstract The present investigation inspects the unsteady, incompressible MHD-induced flow of a ternary hybrid nanofluid made of SiO2 (silicon dioxide), ZnO (zinc oxide), and MWCNT (multi-walled carbon nanotubes) suspended in a water-ethylene glycol base fluid between two perforated squeezing Riga plates. This problem is important because it helps us understand the complicated connections between magnetic fields, nanofluid dynamics, and heat transport, all of which are critical for designing thermal management systems. These findings are especially useful for improving the design of innovative cooling technologies in electronics, energy systems, and healthcare applications. No prior study has… More >

  • Open Access

    ARTICLE

    Photothermal Methane-to-Ethanol Conversion over Cu Single-Atom–Cu9S5 Coupled Crystalline Carbon Nitride

    Xiaohan Zhang1, Han Song2,*, Maoyuan Yin3, Xiaoli Rong2

    Chalcogenide Letters, Vol.23, No.1, 2026, DOI:10.32604/cl.2026.076594 - 26 January 2026

    Abstract We report the rational design and synthesis of a novel trifunctional catalyst comprising atomically dispersed copper single-atom (Cu-SAC) sites and Cu9S5 nanoparticles co-loaded onto a highly crystalline carbon nitride (CCN) support for the photothermal conversion of methane to ethanol. The distinct active sites operate in synergy: the Cu-SAC sites, coordinated to the nitrogen-rich CCN framework, serve as highly efficient centers for the initial activation of methane’s C-H bond to form methyl radicals, while the plasmonic Cu9S5 nanoparticles act as dedicated sites for the subsequent C-C coupling and partial oxidation steps, driven by a combination of photochemical More >

  • Open Access

    ARTICLE

    Synthesis and Photoresponse of Quinary Zinc-Blende Cu3FeInSnS6 Nanoplates

    Dehui Li1,#, Yiming Guo1,#, Tao He1, Binbin Zhang1, Haixia Yu2,*, Lingkun Meng1,*

    Chalcogenide Letters, Vol.23, No.1, 2026, DOI:10.32604/cl.2026.075922 - 26 January 2026

    Abstract Quinary Cu3FeInSnS6 (CFITS) nanoplates were synthesized through a synergistic dual-cation substitution strategy using a hot-injection method, where oleylamine and 1-dodecanethiol served as coordinating ligands to guide two-dimensional growth. The nanocrystals were characterized by X-ray diffraction, transmission electron microscopy, X-ray photoelectron spectroscopy, and absorption spectroscopy. Structural analysis confirms that the CFITS nanoplates crystallize in a phase-pure cubic zinc-blende structure (space group F-43 m) without detectable secondary phases. Optical measurements reveal that the nanoplates exhibit broad and intense visible-light absorption with a direct bandgap of 1.51 ± 0.03 eV, suitable for photovoltaic applications. Under standard AM 1.5 G… More >

  • Open Access

    ARTICLE

    Atomistic Insights into Aluminium–Boron Nitride Nanolayered Interconnects for High-Performance VLSI Systems

    Mallikarjun P. Y.1, Rame Gowda D. N.1, Trisha J. K.1, Varshini M.1, Poornesha S. Shetty1, Mandar Jatkar1,*, Arpan Shah2

    CMC-Computers, Materials & Continua, Vol.86, No.3, 2026, DOI:10.32604/cmc.2025.072507 - 12 January 2026

    Abstract As circuit feature sizes approach the nanoscale, traditional Copper (Cu) interconnects face significant hurdles posed by rising resistance-capacitance (RC) delay, electromigration, and high power dissipation. These limitations impose constraints on the scalability and reliability of future semiconductor technologies. Our paper describes the new Vertical multilayer Aluminium Boron Nitride Nanoribbon (AlBN) interconnect structure, integrated with Density functional theory (DFT) using first-principles calculations. This study explores AlBN-based nanostructures with doping of 1Cu, 2Cu, 1Fe (Iron), and 2Fe for the application of Very Large Scale Integration (VLSI) interconnects. The AlBN structure utilized the advantages of vertical multilayer interconnects… More >

  • Open Access

    ARTICLE

    Machine Learning Based Simulation, Synthesis, and Characterization of Zinc Oxide/Graphene Oxide Nanocomposite for Energy Storage Applications

    Tahir Mahmood1,*, Muhammad Waseem Ashraf1,*, Shahzadi Tayyaba2, Muhammad Munir3, Babiker M. A. Abdel-Banat3, Hassan Ali Dinar3

    CMC-Computers, Materials & Continua, Vol.86, No.3, 2026, DOI:10.32604/cmc.2025.072436 - 12 January 2026

    Abstract Artificial intelligence (AI) based models have been used to predict the structural, optical, mechanical, and electrochemical properties of zinc oxide/graphene oxide nanocomposites. Machine learning (ML) models such as Artificial Neural Networks (ANN), Support Vector Regression (SVR), Multilayer Perceptron (MLP), and hybrid, along with fuzzy logic tools, were applied to predict the different properties like wavelength at maximum intensity (444 nm), crystallite size (17.50 nm), and optical bandgap (2.85 eV). While some other properties, such as energy density, power density, and charge transfer resistance, were also predicted with the help of datasets of 1000 (80:20). In… More >

  • Open Access

    ARTICLE

    Structural and Helix Reversal Defects of Carbon Nanosprings: A Molecular Dynamics Study

    Alexander V. Savin1,2, Elena A. Korznikova3,4, Sergey V. Dmitriev5,*

    CMC-Computers, Materials & Continua, Vol.86, No.2, pp. 1-20, 2026, DOI:10.32604/cmc.2025.072786 - 09 December 2025

    Abstract Due to their chiral structure, carbon nanosprings possess unique properties that are promising for nanotechnology applications. The structural transformations of carbon nanosprings in the form of spiral macromolecules derived from planar coronene and kekulene molecules (graphene helicoids and spiral nanoribbons) are analyzed using molecular dynamics simulations. The interatomic interactions are described by a force field including valence bonds, bond angles, torsional and dihedral angles, as well as van der Waals interactions. While the tension/compression of such nanosprings has been analyzed in the literature, this study investigates other modes of deformation, including bending and twisting. Depending… More >

  • Open Access

    ARTICLE

    Artificial Neural Network Model for Thermal Conductivity Estimation of Metal Oxide Water-Based Nanofluids

    Nikhil S. Mane1, Sheetal Kumar Dewangan2,*, Sayantan Mukherjee3, Pradnyavati Mane4, Deepak Kumar Singh1, Ravindra Singh Saluja5

    CMC-Computers, Materials & Continua, Vol.86, No.1, pp. 1-16, 2026, DOI:10.32604/cmc.2025.072090 - 10 November 2025

    Abstract The thermal conductivity of nanofluids is an important property that influences the heat transfer capabilities of nanofluids. Researchers rely on experimental investigations to explore nanofluid properties, as it is a necessary step before their practical application. As these investigations are time and resource-consuming undertakings, an effective prediction model can significantly improve the efficiency of research operations. In this work, an Artificial Neural Network (ANN) model is developed to predict the thermal conductivity of metal oxide water-based nanofluid. For this, a comprehensive set of 691 data points was collected from the literature. This dataset is split More >

  • Open Access

    ARTICLE

    Mechanisms of Pore-Grain Boundary Interactions Influencing Nanoindentation Behavior in Pure Nickel: A Molecular Dynamics Study

    Chen-Xi Hu1, Wu-Gui Jiang1,*, Jin Wang1, Tian-Yu He2

    CMC-Computers, Materials & Continua, Vol.86, No.1, pp. 1-21, 2026, DOI:10.32604/cmc.2025.068655 - 10 November 2025

    Abstract THE mechanical response and deformation mechanisms of pure nickel under nanoindentation were systematically investigated using molecular dynamics (MD) simulations, with a particular focus on the novel interplay between crystallographic orientation, grain boundary (GB) proximity, and pore characteristics (size/location). This study compares single-crystal nickel models along [100], [110], and [111] orientations with equiaxed polycrystalline models containing 0, 1, and 2.5 nm pores in surface and subsurface configurations. Our results reveal that crystallographic anisotropy manifests as a 24.4% higher elastic modulus and 22.2% greater hardness in [111]-oriented single crystals compared to [100]. Pore-GB synergistic effects are found More >

  • Open Access

    PROCEEDINGS

    Highly Efficient and Stable Catalysts Customized by Ultrafast-Laser in Porous Crystals

    Shuailong Guo*

    The International Conference on Computational & Experimental Engineering and Sciences, Vol.34, No.1, pp. 1-1, 2025, DOI:10.32604/icces.2025.012841

    Abstract The loading capacity, spatial arrangement, and structural stability of monatomic catalysts have significant effects on their performance. Traditional physical and chemical methods cannot precisely control the adsorption, reduction, and anchoring of metal salt ions, making it challenging to achieve accurate synthesis of metal single atoms in three-dimensional space. This project aims to use porous crystal materials as the adsorption carrier for metal salt ions and lasers as the energy source for accurate reduction. This approach facilitates the precise synthesis and customization of single atoms in multidimensional space. By designing the pore size, morphology, particle size,… More >

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