Crossref journal-article
American Chemical Society (ACS)
The Journal of Physical Chemistry Letters (316)
Bibliography

Browning, N. J., Ramakrishnan, R., von Lilienfeld, O. A., & Roethlisberger, U. (2017). Genetic Optimization of Training Sets for Improved Machine Learning Models of Molecular Properties. The Journal of Physical Chemistry Letters, 8(7), 1351–1359.

Authors 4
  1. Nicholas J. Browning (first)
  2. Raghunathan Ramakrishnan (additional)
  3. O. Anatole von Lilienfeld (additional)
  4. Ursula Roethlisberger (additional)
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Dates
Type When
Created 8 years, 5 months ago (March 3, 2017, 1:12 p.m.)
Deposited 2 years, 4 months ago (April 17, 2023, 1:21 a.m.)
Indexed 3 weeks, 5 days ago (July 27, 2025, 3:56 a.m.)
Issued 8 years, 5 months ago (March 13, 2017)
Published 8 years, 5 months ago (March 13, 2017)
Published Online 8 years, 5 months ago (March 13, 2017)
Published Print 8 years, 4 months ago (April 6, 2017)
Funders 1
  1. Schweizerischer Nationalfonds zur F?rderung der Wissenschaftlichen Forschung 10.13039/501100001711 Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung

    Region: Europe

    pri (Trusts, charities, foundations (both public and private))

    Labels10
    1. Schweizerischer Nationalfonds
    2. Swiss National Science Foundation
    3. Fonds National Suisse de la Recherche Scientifique
    4. Fondo Nazionale Svizzero per la Ricerca Scientifica
    5. Fonds National Suisse
    6. Fondo Nazionale Svizzero
    7. Schweizerische Nationalfonds
    8. SNF
    9. SNSF
    10. FNS
    Awards1
    1. 200020_130082/1

@article{Browning_2017, title={Genetic Optimization of Training Sets for Improved Machine Learning Models of Molecular Properties}, volume={8}, ISSN={1948-7185}, url={http://dx.doi.org/10.1021/acs.jpclett.7b00038}, DOI={10.1021/acs.jpclett.7b00038}, number={7}, journal={The Journal of Physical Chemistry Letters}, publisher={American Chemical Society (ACS)}, author={Browning, Nicholas J. and Ramakrishnan, Raghunathan and von Lilienfeld, O. Anatole and Roethlisberger, Ursula}, year={2017}, month=mar, pages={1351–1359} }