Machine learning for CO2 capture and conversion: A review

Machine learning for CO2 capture and conversion: A review

Coupled electrochemical systems for the direct capture and conversion of CO2 have garnered significant attention owing to their potential to enhance energy- and cost-efficiency by circumventing the amine regeneration step. However, optimizing the coupled system is more challenging than handling sepa...

Full description

Bibliographic Details
Main Authors: Sung Eun Jerng, Yang Jeong Park, Ju Li
Format: Article
Language:English
Published: Elsevier 2024-05-01
Series:Energy and AI
Subjects:
Machine learning
CO2 conversion
CO2 capture
Amine
Ionic liquids
Single-atom alloys
Online Access:http://www.sciencedirect.com/science/article/pii/S2666546824000272

Similar Items

Similar Items