Author Correction: Predicting the state of charge and health of batteries using data-driven machine learning (Nature Machine Intelligence, (2020), 2, 3, (161-170), 10.1038/s42256-020-0156-7)

Man Fai Ng; Jin Zhao; Qingyu Yan; Gareth J. Conduit; Zhi Wei Seh

doi:10.1038/s42256-020-0191-4

Author Correction: Predicting the state of charge and health of batteries using data-driven machine learning (Nature Machine Intelligence, (2020), 2, 3, (161-170), 10.1038/s42256-020-0156-7)

Man Fai Ng, Jin Zhao, Qingyu Yan^*, Gareth J. Conduit^*, Zhi Wei Seh^*

^*Corresponding author for this work

Research output: Contribution to journal › Comment/debate › peer-review

2 Citations (Scopus)

Abstract

An amendment to this paper has been published and can be accessed via a link at the top of the paper.

Original language	English
Journal	Nature Machine Intelligence
DOIs	https://doi.org/10.1038/s42256-020-0191-4
Publication status	Accepted/In press - 2020
Externally published	Yes

Bibliographical note

Publisher Copyright:
© 2020, The Author(s), under exclusive licence to Springer Nature Limited.

ASJC Scopus Subject Areas

Software
Human-Computer Interaction
Computer Vision and Pattern Recognition
Computer Networks and Communications
Artificial Intelligence

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title = "Author Correction: Predicting the state of charge and health of batteries using data-driven machine learning (Nature Machine Intelligence, (2020), 2, 3, (161-170), 10.1038/s42256-020-0156-7)",

abstract = "An amendment to this paper has been published and can be accessed via a link at the top of the paper.",

author = "Ng, {Man Fai} and Jin Zhao and Qingyu Yan and Conduit, {Gareth J.} and Seh, {Zhi Wei}",

note = "Publisher Copyright: {\textcopyright} 2020, The Author(s), under exclusive licence to Springer Nature Limited.",

year = "2020",

doi = "10.1038/s42256-020-0191-4",

language = "English",

journal = "Nature Machine Intelligence",

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T1 - Author Correction

T2 - Predicting the state of charge and health of batteries using data-driven machine learning (Nature Machine Intelligence, (2020), 2, 3, (161-170), 10.1038/s42256-020-0156-7)

AU - Ng, Man Fai

AU - Zhao, Jin

AU - Yan, Qingyu

AU - Conduit, Gareth J.

AU - Seh, Zhi Wei

PY - 2020

Y1 - 2020

N2 - An amendment to this paper has been published and can be accessed via a link at the top of the paper.

AB - An amendment to this paper has been published and can be accessed via a link at the top of the paper.

UR - http://www.scopus.com/inward/record.url?scp=85133620689&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85133620689&partnerID=8YFLogxK

U2 - 10.1038/s42256-020-0191-4

DO - 10.1038/s42256-020-0191-4

M3 - Comment/debate

AN - SCOPUS:85133620689

SN - 2522-5839

JO - Nature Machine Intelligence

JF - Nature Machine Intelligence

ER -

Author Correction: Predicting the state of charge and health of batteries using data-driven machine learning (Nature Machine Intelligence, (2020), 2, 3, (161-170), 10.1038/s42256-020-0156-7)

Abstract

Bibliographical note

ASJC Scopus Subject Areas

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