Intelligent predictive neural network analysis on two phase bioconvection flow of dusty hybrid nanofluid with Cattaneo Christov flux model and melting phenomena

Abstract Background This analysis’s main purpose is to investigate the outcome of melting heating on microorganisms in a two-phase bioconvection flow of a dusty hybrid nanofluid via a sheet with Cattaneo-Christov flux model. Method Using an appropriate similarity transformation, constitutive partial...

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主要な著者:	Ali Raza, Imen Safra, Saba Liaqat, Farkhod Rakhmonov, Munawar Abbas, Durdana Rustamova Farkhad, Abdulbasit A. Darem
フォーマット:	Artigo
言語:	Inglês
出版事項:	Springer 2026-06-01
シリーズ:	Discover Nano
主題:	Dusty hybrid nanofluid Gyrotactic microbes Melting heating Cattaneo-Christov flux model Artificial neural network
オンライン･アクセス:	https://doi.org/10.1186/s11671-026-04739-8
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