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

ORCiD logo [1];  [2];  [2];  [2];  [3];  [3]
  1. Institute for Public Health and Medicine, Feinberg School of MedicineCenter for Health Information Partnerships, Northwestern UniversityChicagoIllinois 60611
  2. QuesTeck Innovations LLCEvanstonIllinois 60201
  3. Department of Electrical Engineering and Computer ScienceNorthwestern UniversityEvanstonIllinois 60208
Publication Date:
Sponsoring Org.:
OSTI Identifier:
Grant/Contract Number:  
DE‐SC0007456, DE‐SC0014330
Resource Type:
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
Wiley Blackwell (John Wiley & Sons)
Country of Publication:
United States

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.
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.
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 = {2017},
month = {9}

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