Computation of Real-Fluid Thermophysical Properties Using a Neural Network Approach Implemented in OpenFOAM

Computation of Real-Fluid Thermophysical Properties Using a Neural Network Approach Implemented in OpenFOAM

Machine learning based on neural networks facilitates data-driven techniques for handling large amounts of data, either obtained through experiments or simulations at multiple spatio-temporal scales, thereby finding the hidden patterns underlying these data and promoting efficient research methods....

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Bibliographic Details
Main Authors: Nasrin Sahranavardfard, Damien Aubagnac-Karkar, Gabriele Costante, Faniry N. Z. Rahantamialisoa, Chaouki Habchi, Michele Battistoni
Format: Article
Language:English
Published: MDPI AG 2024-02-01
Series:Fluids
Subjects:
OpenFOAM
real-fluid model
machine learning
neural network
NNICE
Online Access:https://www.mdpi.com/2311-5521/9/3/56

Internet

https://www.mdpi.com/2311-5521/9/3/56

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