Elucidating an Atmospheric Brown Carbon Species—Toward Supplanting Chemical Intuition with Exhaustive Enumeration and Machine Learning

Author:

Tapavicza Enrico1ORCID,von Rudorff Guido Falk23,De Haan David O.4ORCID,Contin Mario5,George Christian6ORCID,Riva Matthieu6ORCID,von Lilienfeld O. Anatole23ORCID

Affiliation:

1. Department of Chemistry and Biochemistry, California State University, Long Beach, 1250 Bellflower Boulevard, Long Beach, California 90840, United States

2. Faculty of Physics, University of Vienna, Kolingasse 14−16, AT-1090 Wien, Austria

3. Institute of Physical Chemistry and National Center for Computational Design and Discovery of Novel Materials (MARVEL), Department of Chemistry, University of Basel, Klingelbergstrasse 80, CH-4056 Basel, Switzerland

4. Department of Chemistry and Biochemistry, University of San Diego, 5998 Alcala Park, San Diego, California 92110, United States

5. Facultad de Farmacia y Bioquímica, Departamento de Química Analitica y Fisicoquímica, Universidad de Buenos Aires, Junín 956, Buenos Aires C1113AAD, Argentina

6. Université Lyon, Université Claude Bernard Lyon 1, CNRS, IRCELYON, 69626 Villeurbanne, France

Funder

Schweizerischer Nationalfonds zur F?rderung der Wissenschaftlichen Forschung

Division of Atmospheric and Geospace Sciences

National Institute of General Medical Sciences

H2020 European Research Council

Publisher

American Chemical Society (ACS)

Subject

Environmental Chemistry,General Chemistry

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