A hybrid machine learning-genetic algorithm (ML-GA) model to predict optimal process parameters of nanoporous Cu for CO2 reduction-Reference-Cited by-同舟云学术

A hybrid machine learning-genetic algorithm (ML-GA) model to predict optimal process parameters of nanoporous Cu for CO2 reduction

Published:2023-08 Issue: Volume:36 Page:101352
ISSN:2468-6069
Container-title:Materials Today Energy
language:en
Short-container-title:Materials Today Energy

Author:

Lok Jun Yi,Tsai Wen-Han,Cheng I-Chung^ORCID

Funder

Nanyang Technological University

National Taiwan University

National Science and Technology Council

Publisher

Elsevier BV

Subject

Energy Engineering and Power Technology,Fuel Technology,Nuclear Energy and Engineering,Materials Science (miscellaneous),Renewable Energy, Sustainability and the Environment

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