ACS Applied Nano Materials, volume 3, issue 5, pages 4045-4053
Use of Machine Learning with Temporal Photoluminescence Signals from CdTe Quantum Dots for Temperature Measurement in Microfluidic Devices
Charles Lewis
1
,
James W Erikson
1
,
Derek A Sanchez
2
,
C Emma Mcclure
1
,
Gregory P. Nordin
3
,
T Munro
2
,
John S. Colton
1
1
Department of Physics and Astronomy, Brigham Young University, Provo, Utah 84602, United States
|
2
Department of Mechanical Engineering, Brigham Young University, Provo, Utah 84602, United States
|
3
Department of Electrical and Computer Engineering, Brigham Young University, Provo, Utah 84602, United States
|
Publication type: Journal Article
Publication date: 2020-04-09
Journal:
ACS Applied Nano Materials
Quartile SCImago
Q1
Quartile WOS
Q2
Impact factor: 5.9
ISSN: 25740970, 25740970
General Materials Science
Abstract
Because of the vital role of temperature in many biological processes studied in microfluidic devices, there is a need to develop improved temperature sensors and data analysis algorithms. The phot...
Top-30
Citations by journals
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ACS Applied Nano Materials
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International Journal of Thermophysics
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Journal of Materials Chemistry C
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1 publication, 3.7%
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Spectrochimica Acta - Part A: Molecular and Biomolecular Spectroscopy
1 publication, 3.7%
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Journal of Luminescence
1 publication, 3.7%
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Sensors and Actuators, B: Chemical
1 publication, 3.7%
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Biosensors and Bioelectronics
1 publication, 3.7%
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Advanced Science
1 publication, 3.7%
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Crystals
1 publication, 3.7%
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Sensors and Actuators, A: Physical
1 publication, 3.7%
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Applied Materials Today
1 publication, 3.7%
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Physica Scripta
1 publication, 3.7%
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ACS Nanoscience Au
1 publication, 3.7%
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IEEE Access
1 publication, 3.7%
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Russian Chemical Reviews
1 publication, 3.7%
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Photonics
1 publication, 3.7%
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Technologies
1 publication, 3.7%
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3
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Citations by publishers
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6
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Elsevier
6 publications, 22.22%
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Multidisciplinary Digital Publishing Institute (MDPI)
5 publications, 18.52%
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Wiley
4 publications, 14.81%
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American Chemical Society (ACS)
4 publications, 14.81%
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Springer Nature
3 publications, 11.11%
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Royal Society of Chemistry (RSC)
2 publications, 7.41%
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IOP Publishing
1 publication, 3.7%
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IEEE
1 publication, 3.7%
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Autonomous Non-profit Organization Editorial Board of the journal Uspekhi Khimii
1 publication, 3.7%
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- We do not take into account publications without a DOI.
- Statistics recalculated only for publications connected to researchers, organizations and labs registered on the platform.
- Statistics recalculated weekly.
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Lewis C. et al. Use of Machine Learning with Temporal Photoluminescence Signals from CdTe Quantum Dots for Temperature Measurement in Microfluidic Devices // ACS Applied Nano Materials. 2020. Vol. 3. No. 5. pp. 4045-4053.
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Lewis C., Erikson J. W., Sanchez D. A., Mcclure C. E., Nordin G. P., Munro T., Colton J. S. Use of Machine Learning with Temporal Photoluminescence Signals from CdTe Quantum Dots for Temperature Measurement in Microfluidic Devices // ACS Applied Nano Materials. 2020. Vol. 3. No. 5. pp. 4045-4053.
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TY - JOUR
DO - 10.1021/acsanm.0c00065
UR - https://doi.org/10.1021/acsanm.0c00065
TI - Use of Machine Learning with Temporal Photoluminescence Signals from CdTe Quantum Dots for Temperature Measurement in Microfluidic Devices
T2 - ACS Applied Nano Materials
AU - Lewis, Charles
AU - Erikson, James W
AU - Sanchez, Derek A
AU - Mcclure, C Emma
AU - Colton, John S.
AU - Nordin, Gregory P.
AU - Munro, T
PY - 2020
DA - 2020/04/09 00:00:00
PB - American Chemical Society (ACS)
SP - 4045-4053
IS - 5
VL - 3
SN - 2574-0970
SN - 2574-0970
ER -
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@article{2020_Lewis,
author = {Charles Lewis and James W Erikson and Derek A Sanchez and C Emma Mcclure and John S. Colton and Gregory P. Nordin and T Munro},
title = {Use of Machine Learning with Temporal Photoluminescence Signals from CdTe Quantum Dots for Temperature Measurement in Microfluidic Devices},
journal = {ACS Applied Nano Materials},
year = {2020},
volume = {3},
publisher = {American Chemical Society (ACS)},
month = {apr},
url = {https://doi.org/10.1021/acsanm.0c00065},
number = {5},
pages = {4045--4053},
doi = {10.1021/acsanm.0c00065}
}
Cite this
MLA
Copy
Lewis, Charles, et al. “Use of Machine Learning with Temporal Photoluminescence Signals from CdTe Quantum Dots for Temperature Measurement in Microfluidic Devices.” ACS Applied Nano Materials, vol. 3, no. 5, Apr. 2020, pp. 4045-4053. https://doi.org/10.1021/acsanm.0c00065.