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Title: Prediction of seebeck coefficient for compounds without restriction to fixed stoichiometry: A machine learning approach

Authors:
ORCiD logo [1];  [2];  [2];  [2];  [3];  [3]
  1. Institute for Public Health and Medicine, Feinberg School of Medicine, Center for Health Information Partnerships, Northwestern University, Chicago Illinois 60611
  2. QuesTeck Innovations LLC, Evanston Illinois 60201
  3. Department of Electrical Engineering and Computer Science, Northwestern University, Evanston Illinois 60208
Publication Date:
Sponsoring Org.:
USDOE
OSTI Identifier:
1395185
Grant/Contract Number:  
SC0007456, DE-SC0014330
Resource Type:
Journal Article: Publisher's Accepted Manuscript
Journal Name:
Journal of Computational Chemistry
Additional Journal Information:
Journal Name: Journal of Computational Chemistry Journal Volume: 39 Journal Issue: 4; Journal ID: ISSN 0192-8651
Publisher:
Wiley Blackwell (John Wiley & Sons)
Country of Publication:
United States
Language:
English

Citation Formats

Furmanchuk, Al'ona, Saal, James E., Doak, Jeff W., Olson, Gregory B., Choudhary, Alok, and Agrawal, Ankit. Prediction of seebeck coefficient for compounds without restriction to fixed stoichiometry: A machine learning approach. United States: N. p., 2017. Web. doi:10.1002/jcc.25067.
Furmanchuk, Al'ona, Saal, James E., Doak, Jeff W., Olson, Gregory B., Choudhary, Alok, & Agrawal, Ankit. Prediction of seebeck coefficient for compounds without restriction to fixed stoichiometry: A machine learning approach. United States. doi:10.1002/jcc.25067.
Furmanchuk, Al'ona, Saal, James E., Doak, Jeff W., Olson, Gregory B., Choudhary, Alok, and Agrawal, Ankit. Wed . "Prediction of seebeck coefficient for compounds without restriction to fixed stoichiometry: A machine learning approach". United States. doi:10.1002/jcc.25067.
@article{osti_1395185,
title = {Prediction of seebeck coefficient for compounds without restriction to fixed stoichiometry: A machine learning approach},
author = {Furmanchuk, Al'ona and Saal, James E. and Doak, Jeff W. and Olson, Gregory B. and Choudhary, Alok and Agrawal, Ankit},
abstractNote = {},
doi = {10.1002/jcc.25067},
journal = {Journal of Computational Chemistry},
number = 4,
volume = 39,
place = {United States},
year = {Wed Sep 27 00:00:00 EDT 2017},
month = {Wed Sep 27 00:00:00 EDT 2017}
}

Journal Article:
Free Publicly Available Full Text
Publisher's Version of Record at 10.1002/jcc.25067

Citation Metrics:
Cited by: 2 works
Citation information provided by
Web of Science

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Works referenced in this record:

Revised effective ionic radii and systematic studies of interatomic distances in halides and chalcogenides
journal, September 1976


Materials for thermoelectric energy conversion
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Evaluation of Half-Heusler Compounds as Thermoelectric Materials Based on the Calculated Electrical Transport Properties
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  • Yang, Jiong; Li, Huanming; Wu, Ting
  • Advanced Functional Materials, Vol. 18, Issue 19, p. 2880-2888
  • DOI: 10.1002/adfm.200701369

Random Forests
journal, January 2001