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              <text>Further Discussion on the Significance of Quartic Autocatalysis on the Dynamics of Water Conveying 47nm Alumina and 29nm Cupric Nanoparticles</text>
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              <text>29nm CuOwater; 47nm Al &lt;sub&gt;2&lt;/sub&gt;O &lt;sub&gt;3&lt;/sub&gt;water; Brownian motion; Heat transfer; Nanofluid; Thermophoresis</text>
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              <text>Improvement of product performance, efficiency, and reliability is a major concern of experts, scientists, and technologists dealing with the dynamics of water conveying nanoparticles on objects with nonuniform thickness either coated or sprayed with the catalyst. However, little is known on the significance of quartic autocatalysis as it affects the dynamics of water conveying alumina and cupric nanoparticles. In this study, comparative analysis between the dynamics of water conveying 29nm CuO and 47nm Al 2O 3 on an upper horizontal surface of a paraboloid of revolution is modeled and presented. In the transport phenomena, migration of nanoparticles due to temperature gradient, the haphazard motion of nanoparticles, and diffusion of motile microorganisms were incorporated into the mathematical models. Due to the inherent nature of the thermophysical properties of the two nanofluids, viscosity, density, thermal radiation, and heat capacity of the two nanofluids were incorporated in the mathematical model. The nonlinear partial differential equations that model the transport phenomenon were transformed, non-dimensionalized and parameterized. The corresponding boundary value problems were converted to an initial value problem using the method of superposition and solved numerically. The concentration of the catalyst increases significantly with buoyancy at a larger magnitude of space-dependent internal heat source in the flow of 29nm CuOwater nanofluid. Negligible migration of nanoparticles due to temperature gradient decreases the concentration of the fluid throughout the domain.  2020, King Fahd University of Petroleum &amp;amp; Minerals.</text>
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              <text>Liu H.; Animasaun I.L.; Shah N.A.; Koriko O.K.; Mahanthesh B.</text>
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              <text>Arabian Journal for Science and Engineering, Vol-45, No. 7, pp. 5977-6004.</text>
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              <text>Springer</text>
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              <text>2020-01-01</text>
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              <text>&lt;a href="https://doi.org/10.1007/s13369-020-04610-7" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1007/s13369-020-04610-7&lt;/a&gt;
&lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85086849894&amp;amp;doi=10.1007%2Fs13369-020-04610-7&amp;amp;partnerID=40&amp;amp;md5=9af55cbdf14f5a64031fb372da96e5f4" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/inward/record.uri?eid=2-s2.0-85086849894&amp;amp;doi=10.1007%2fs13369-020-04610-7&amp;amp;partnerID=40&amp;amp;md5=9af55cbdf14f5a64031fb372da96e5f4&lt;/a&gt;</text>
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              <text>ISSN: 2193567X</text>
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              <text>Online</text>
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              <text>English</text>
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              <text>Liu H., College of Mechanical and Electronic Engineering, Northwest Agriculture and Forestry University, Yangling, 712100, Shaanxi, China; Animasaun I.L., Department of Mathematical Sciences, Fluid Dynamics and Survey Research Group, Federal University of Technology, Akure, Nigeria; Shah N.A., Informetrics Research Group, Ton Duc Thang University, Ho Chi Minh City, Viet Nam, Faculty of Mathematics &amp;amp; Statistics, Ton Duc Thang University, Ho Chi Minh City, Viet Nam; Koriko O.K., Department of Mathematical Sciences, Federal University of Technology, Akure, Nigeria; Mahanthesh B., Department of Mathematics, CHRIST (Deemed to be University), Bengaluru, 560029, Karnataka, India</text>
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