Significance of EMHD graphene oxide (GO) water ethylene glycol nanofluid flow in a Darcy–Forchheimer medium by machine learning algorithm
Author:
Publisher
Springer Science and Business Media LLC
Subject
General Physics and Astronomy,Fluid Flow and Transfer Processes
Link
https://link.springer.com/content/pdf/10.1140/epjp/s13360-023-03798-5.pdf
Reference42 articles.
1. M. Alhadri, J. Raza, U. Yashkun, L.A. Lund, C. Maatki, S.U. Khan, L. Kolsi, Response surface methodology (RSM) and artificial neural network (ANN) simulations for thermal flow hybrid nanofluid flow with Darcy–Forchheimer effects. J. Indian Chem. Soc. 99, 100607 (2022)
2. F. Alzahrani, M.I. Khan, Entropy generation and Joule heating applications for Darcy Forchheimer flow of Ree–Eyring nanofluid due to double rotating disks with artificial neural network. Alex. Eng. J. 61(5), 3679–3689 (2022)
3. M. Shoaib, M. Kausar, M.I. Khan, M. Zeb, R.J.P. Gowda, B.C. Prasannakumara, F. Alzahrani, M.A.Z. Raja, Intelligent backpropagated neural networks application on Darcy–Forchheimer ferrofluid slip flow system. Int. Commun. Heat Mass Transf. 129, 105730 (2021)
4. M.A.Z. Raja, Z. Khan, S. Zuhra, N.I. Chaudhary, W.U. Khan, Y. He, S. Islam, M. Shoaib, Cattaneo–Christov heat flux model of 3D hall current involving biconvection nanofluidic flow with Darcy–Forchheimer law effect: backpropagation neural networks approach. Case Stud. Therm. Eng. 26, 101168 (2021)
5. A.B. Çolak, A. Shafiq, T.N. Sindhu, Modeling of Darcy–Forchheimer bioconvective Powell Eyring nanofluid with artificial neural network. Chin. J. Phys. 77, 2435–2453 (2022)
Cited by 38 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. Dynamics of stratified-convected Eyring-Powell nanoliquid featuring chemically reactive species and Ohmic dissipation: Application of Levenberg-Marquardt artificial neural networks(ALM-ANNs);International Journal of Heat and Fluid Flow;2024-09
2. Designing machine learning based intelligent network for assessment of heat transfer performance of ternary hybrid nanofluid flow between a cone and a disk: Case of MLP feed forward neural network;Computers & Mathematics with Applications;2024-09
3. Applying machine learning to reveal the microscopic heat transfer mechanism of nanofluids as coolants;Thermochimica Acta;2024-08
4. Fractional dynamics of entropy generation in unsteady mixed convection of a reacting nanofluid over a slippery permeable plate in Darcy–Forchheimer porous medium;ZAMM - Journal of Applied Mathematics and Mechanics / Zeitschrift für Angewandte Mathematik und Mechanik;2024-07-10
5. Supervised Stochastic Approach for computational analysis of convectively heated magnetized nanofluid flow with bioconvection aspects;Alexandria Engineering Journal;2024-07
1.学者识别学者识别
2.学术分析学术分析
3.人才评估人才评估
"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370
www.globalauthorid.com
TOP
Copyright © 2019-2024 北京同舟云网络信息技术有限公司 京公网安备11010802033243号 京ICP备18003416号-3