User-friendly freeware for determining the concentration of electrolyte components in lithium-ion cells using Fourier transform infrared spectroscopy, beer’s law, and machine learning

Sam Buteau; Elizabeth Lee; Scott Young; Sam Hames; J. R. Dahn

doi:10.1149/2.0151914jes

User-friendly freeware for determining the concentration of electrolyte components in lithium-ion cells using Fourier transform infrared spectroscopy, beer’s law, and machine learning

Sam Buteau, Elizabeth Lee, Scott Young, Sam Hames, J. R. Dahn

Executive Vice President

Research output: Contribution to journal › Article › peer-review

3 Citations (Scopus)

Original language	English
Pages (from-to)	A3102-A3108
Journal	Journal of the Electrochemical Society
Volume	166
Issue number	14
DOIs	https://doi.org/10.1149/2.0151914jes
Publication status	Published - 2019

ASJC Scopus Subject Areas

Electronic, Optical and Magnetic Materials
Renewable Energy, Sustainability and the Environment
Surfaces, Coatings and Films
Electrochemistry
Materials Chemistry

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1149/2.0151914jes

Cite this

User-friendly freeware for determining the concentration of electrolyte components in lithium-ion cells using Fourier transform infrared spectroscopy, beer’s law, and machine learning. / Buteau, Sam; Lee, Elizabeth; Young, Scott et al.
In: Journal of the Electrochemical Society, Vol. 166, No. 14, 2019, p. A3102-A3108.

Research output: Contribution to journal › Article › peer-review

@article{a70ce9f43cfd41d09313072fcc5ab693,

title = "User-friendly freeware for determining the concentration of electrolyte components in lithium-ion cells using Fourier transform infrared spectroscopy, beer{\textquoteright}s law, and machine learning",

author = "Sam Buteau and Elizabeth Lee and Scott Young and Sam Hames and Dahn, {J. R.}",

note = "Funding Information: This work was supported financially by the Natural Sciences and Engineering Research Council of Canada (NSERC), and Tesla Motors. Sam Buteau acknowledges scholarship support from NSERC. Furthermore, Sam Buteau would like to thank Prof. Yoshua Bengio and the Mila community for useful discussion groups and seminars. Publisher Copyright: {\textcopyright} The Author(s) 2019.",

year = "2019",

doi = "10.1149/2.0151914jes",

language = "English",

volume = "166",

pages = "A3102--A3108",

journal = "Journal of the Electrochemical Society",

issn = "0013-4651",

publisher = "Electrochemical Society, Inc.",

number = "14",

}

TY - JOUR

T1 - User-friendly freeware for determining the concentration of electrolyte components in lithium-ion cells using Fourier transform infrared spectroscopy, beer’s law, and machine learning

AU - Buteau, Sam

AU - Lee, Elizabeth

AU - Young, Scott

AU - Hames, Sam

AU - Dahn, J. R.

N1 - Funding Information: This work was supported financially by the Natural Sciences and Engineering Research Council of Canada (NSERC), and Tesla Motors. Sam Buteau acknowledges scholarship support from NSERC. Furthermore, Sam Buteau would like to thank Prof. Yoshua Bengio and the Mila community for useful discussion groups and seminars. Publisher Copyright: © The Author(s) 2019.

PY - 2019

Y1 - 2019

UR - http://www.scopus.com/inward/record.url?scp=85072914976&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85072914976&partnerID=8YFLogxK

U2 - 10.1149/2.0151914jes

DO - 10.1149/2.0151914jes

M3 - Article

AN - SCOPUS:85072914976

SN - 0013-4651

VL - 166

SP - A3102-A3108

JO - Journal of the Electrochemical Society

JF - Journal of the Electrochemical Society

IS - 14

ER -

User-friendly freeware for determining the concentration of electrolyte components in lithium-ion cells using Fourier transform infrared spectroscopy, beer’s law, and machine learning

ASJC Scopus Subject Areas

UN SDGs

Access to Document

Other files and links

Fingerprint

Cite this