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              <text>The computational model of nanofluid considering heat transfer and entropy generation across a curved and flat surface</text>
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              <text>The entropy generation analysis for the nanofluid flowing over a stretching/shrinking curved region is performed in the existence of the cross-diffusion effect. The surface is also subjected to second-order velocity slip under the effect of mixed convection. The Joule heating that contributes significantly to the heat transfer properties of nanofluid is incorporated along with the heat source/sink. Furthermore, the flow is assumed to be governed by an exterior magnetic field that aids in gaining control over the flow speed. With these frameworks, the mathematical model that describes the flow with such characteristics and assumptions is framed using partial differential equations (PDEs). The bvp4c solver is used to numerically solve the system of non-linear ordinary differential equations (ODEs) that are created from these equations. The solutions of obtained through this technique are verified with the available articles and the comparison is tabulated. Meanwhile, the interpretation of the results of this study is delivered through graphs. The findings showed that the Bejan number was decreased by increasing Brinkman number values whereas it enhanced the entropy generation. Also, as the curvature parameter goes higher, the speed of the nanofluid flow diminishes. Furthermore, the increase in the Soret and Dufour effects have enhanced the thermal conduction and the mass transfer of the nanofluid.  2023, The Author(s).</text>
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              <text>Alharbi S.O.; Smarandache F.; Elsiddieg A.M.A.; Alqahtani A.M.; Khan M.R.; Puneeth V.; Becheikh N.</text>
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              <text>Scientific Reports, Vol-13, No. 1</text>
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              <text>Nature Research</text>
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              <text>2023-01-01</text>
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              <text>&lt;a href="https://doi.org/10.1038/s41598-023-46955-7" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1038/s41598-023-46955-7&lt;/a&gt;
&lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85177076169&amp;amp;doi=10.1038%2Fs41598-023-46955-7&amp;amp;partnerID=40&amp;amp;md5=255b99efa2090c26a8da85de07b1c0f6" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/inward/record.uri?eid=2-s2.0-85177076169&amp;amp;doi=10.1038%2fs41598-023-46955-7&amp;amp;partnerID=40&amp;amp;md5=255b99efa2090c26a8da85de07b1c0f6&lt;/a&gt;</text>
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              <text>All Open Access; Gold Open Access; Green Open Access</text>
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              <text>ISSN: 20452322; PubMed ID: 37973960</text>
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              <text>Online</text>
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              <text>English</text>
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              <text>Alharbi S.O., Mathematics Department, College of Science Al-Zulfi, Majmaah University, Majmaah, 11952, Saudi Arabia; Smarandache F., Mathematics, Physics, and Natural Science Division, The University of New Mexico, 705 Gurley Ave., Gallup, 87301, NM, United States; Elsiddieg A.M.A., Department of Mathematics, College of Science and Humanities, Prince Sattam bin Abdul-Aziz University, Al-Kharj,  11942, Saudi Arabia; Alqahtani A.M., Department of mathematical sciences, College of Science, Princess Nourah Bint Abdulrahman University, P. O. Box 84428, Riyadh, 11671, Saudi Arabia; Khan M.R., Department of Mathematics, Quaid-I-Azam University, Islamabad, 44000, Pakistan; Puneeth V., School of Sciences, CHRIST University, Delhi NCR, Ghaziabad, 201003, India; Becheikh N., College of Engineering, Northern Border University, Arar, 73222, Saudi Arabia</text>
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