Optimizing the preparation of palm kernel shell activated carbon for lithium polysulfide adsorption using response surface methodology and artificial neural network for high performance lithium-sulfur battery

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Optimizing the preparation of palm kernel shell activated carbon for lithium polysulfide adsorption using response surface methodology and artificial neural network for high performance lithium-sulfur battery

This study used response surface methodology (RSM) and artificial neural network (ANN) to predict and optimize lithium polysulfide (LiP) adsorption on nitrogen-doped activated carbon (NDAC). Firstly, the NDAC production from palm kernel shell was optimized using RSM, where statistical analysis indic...

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Bibliographic Details
Published in:	JOURNAL OF ENERGY STORAGE
Main Authors:	Zaini, Mohd Saufi Md; Ali, Ab Malik Marwan; Long, Xiangyi; Syed-Hassan, Syed Shatir A.
Format:	Article
Language:	English
Published:	ELSEVIER 2024
Subjects:	Energy & Fuels
Online Access:	https://www-webofscience-com.uitm.idm.oclc.org/wos/woscc/full-record/WOS:001286581400001

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