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

Hansen, K., Biegler, F., Ramakrishnan, R., Pronobis, W., von Lilienfeld, O. A., Müller, K.-R., & Tkatchenko, A. (2015). Machine Learning Predictions of Molecular Properties: Accurate Many-Body Potentials and Nonlocality in Chemical Space. The Journal of Physical Chemistry Letters, 6(12), 2326–2331.

Authors 7
  1. Katja Hansen (first)
  2. Franziska Biegler (additional)
  3. Raghunathan Ramakrishnan (additional)
  4. Wiktor Pronobis (additional)
  5. O. Anatole von Lilienfeld (additional)
  6. Klaus-Robert Müller (additional)
  7. Alexandre Tkatchenko (additional)
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Dates
Type When
Created 10 years, 2 months ago (June 4, 2015, 1:40 p.m.)
Deposited 2 years, 4 months ago (April 24, 2023, 4:36 a.m.)
Indexed 7 hours, 42 minutes ago (Aug. 29, 2025, 6:14 a.m.)
Issued 10 years, 2 months ago (June 10, 2015)
Published 10 years, 2 months ago (June 10, 2015)
Published Online 10 years, 2 months ago (June 10, 2015)
Published Print 10 years, 2 months ago (June 18, 2015)
Funders 6
  1. Natural Sciences and Engineering Research Council of Canada 10.13039/501100000038

    Region: Americas

    gov (National government)

    Labels3
    1. Conseil de Recherches en Sciences Naturelles et en Génie du Canada
    2. NSERC
    3. CRSNG
  2. European Research Council 10.13039/501100000781

    Region: Europe

    gov (National government)

    Labels1
    1. ERC
    Awards1
    1. VDW-CMAT
  3. Deutsche Forschungsgemeinschaft 10.13039/501100001659

    Region: Europe

    gov (National government)

    Labels3
    1. German Research Association
    2. German Research Foundation
    3. DFG
    Awards1
    1. MU 987/20
  4. Schweizerische 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. PP00P2_138932
  5. National Research Foundation of Korea 10.13039/501100003725

    Region: Asia

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

    Labels3
    1. 한국연구재단이 창의적 연구와
    2. National Research Foundation (South Korea)
    3. NRF
  6. Einstein Foundation Berlin 10.13039/501100006188 Einstein Stiftung Berlin

    Region: Europe

    gov (Local government)

    Labels1
    1. Einstein Foundation Berlin

@article{Hansen_2015, title={Machine Learning Predictions of Molecular Properties: Accurate Many-Body Potentials and Nonlocality in Chemical Space}, volume={6}, ISSN={1948-7185}, url={http://dx.doi.org/10.1021/acs.jpclett.5b00831}, DOI={10.1021/acs.jpclett.5b00831}, number={12}, journal={The Journal of Physical Chemistry Letters}, publisher={American Chemical Society (ACS)}, author={Hansen, Katja and Biegler, Franziska and Ramakrishnan, Raghunathan and Pronobis, Wiktor and von Lilienfeld, O. Anatole and Müller, Klaus-Robert and Tkatchenko, Alexandre}, year={2015}, month=jun, pages={2326–2331} }