A study on Ti-doped Fe3O4 anode for Li ion battery using machine learning, electrochemical and distribution function of relaxation times (DFRTs) analyses

Please use this identifier to cite or link to this item: http://ir.sinica.edu.tw/handle/201000000A/85356

Title:	A study on Ti-doped Fe3O4 anode for Li ion battery using machine learning, electrochemical and distribution function of relaxation times (DFRTs) analyses
Authors:	Chi, Po-Wei Paul, Tanmoy Su, Yu-Hsuan Su, Kai-Han Su, Cherng-Yuh Wu, Phillip M. Wang, Sea-Fue Wu, Maw-Kuen
Issue Date:	2022
Relation:	Scientific Reports 12, 4851
URI:	http://ir.sinica.edu.tw/handle/201000000A/85356
ISSN:	http://gateway.isiknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=Drexel&SrcApp=hagerty_opac&KeyRecord=2045-2322&DestApp=JCR&RQ=IF_CAT_BOXPLOT
URL:	http://dx.doi.org/10.1038/s41598-022-08584-4
Appears in Collections:	物理研究所

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