Event submissions
Published
This submission belongs to the session S5. Fractional Calculus in Machine Learning: Applications and Challenges of the event The 1st International Online Conference on Fractal and Fractional
Published date
08 Apr, 2026
Academic Editor
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YangQuan ChenCitation
Zhide Song, Jingyun Shi, Yumeng Wang, Reconstruction of Fractional-Order Ellipsoidal Nanofluid Turbulent Flow Fields and Particle Orientation Evolution Based on PINNs, in Proceedings of The 1st International Online Conference on Fractal and Fractional, 13 April–15 April 2026, MDPI: Basel, Switzerland
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Reconstruction of Fractional-Order Ellipsoidal Nanofluid Turbulent Flow Fields and Particle Orientation Evolution Based on PINNs
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Zhide Song 1
Jingyun Shi 2
Yumeng Wang 1
1. School of Science; Beijing University of Civil Engineering and Architecture; Beijing 102616; China
2. School of Aerospace Engineering; Beijing Institute of Technology; Beijing 100081; China
Abstract
Keywords
Turbulent mean flow
Physics-informed neural networks
Ellipsoidal nanoparticles
Fractional constitutive model
Fokker-Planck equation