Guiding the optimization of membraneless microfluidic fuel cells via explainable artificial intelligence: Comparative analyses of multiple machine learning models and investigation of key operating parameters-Reference-Cited by-同舟云学术

Guiding the optimization of membraneless microfluidic fuel cells via explainable artificial intelligence: Comparative analyses of multiple machine learning models and investigation of key operating parameters

Published:2023-10 Issue: Volume:349 Page:128742
ISSN:0016-2361
Container-title:Fuel
language:en
Short-container-title:Fuel

Author:

Nguyen Dang Dinh,Tanveer Muhammad^ORCID,Mai Hang-Nga,Pham Thinh Quy Duc,Khan Haroon,Park Cheol Woo,Kim Gyu Man

Funder

National Research Foundation of Korea

Publisher

Elsevier BV

Subject

Organic Chemistry,Energy Engineering and Power Technology,Fuel Technology,General Chemical Engineering

Reference41 articles.

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4. Investigation of the effects of intermediate reservoirs and intermediate feedings applications on the performance of proton exchange membrane fuel cells;Celik;Fuel,2023

5. Membraneless laminar flow-based micro fuel cells operating in alkaline, acidic, and acidic/alkaline media;Choban;Electrochim Acta,2005

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