Comparative study of machine learning techniques for post-combustion carbon capture systems

Comparative study of machine learning techniques for post-combustion carbon capture systems

Computational analysis of countercurrent flows in packed absorption columns, often used in solvent-based post-combustion carbon capture systems (CCSs), is challenging. Typically, computational fluid dynamics (CFD) approaches are used to simulate the interactions between a solvent, gas, and column�...

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Bibliographic Details
Main Authors: Yeping Hu, Bo Lei, Yash Girish Shah, Jose Cadena, Amar Saini, Grigorios Panagakos, Phan Nguyen
Format: Article
Language:English
Published: Frontiers Media S.A. 2024-11-01
Series:Frontiers in Artificial Intelligence
Subjects:
machine learning
graph neural networks
convolutional neural networks
computational fluid dynamics
carbon capture systems
Online Access:https://www.frontiersin.org/articles/10.3389/frai.2024.1441934/full

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https://www.frontiersin.org/articles/10.3389/frai.2024.1441934/full

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