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

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 Author: Md Zaini M.S.; Ali A.M.M.; Long X.; Syed-Hassan S.S.A.
Format: Article
Language:English
Published: Elsevier Ltd 2024
Online Access:https://www.scopus.com/inward/record.uri?eid=2-s2.0-85199874847&doi=10.1016%2fj.est.2024.113141&partnerID=40&md5=8f55dcbcf5a680d40e154460e616f2e2

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https://www.scopus.com/inward/record.uri?eid=2-s2.0-85199874847&doi=10.1016%2fj.est.2024.113141&partnerID=40&md5=8f55dcbcf5a680d40e154460e616f2e2

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