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July 29, 2020 article Aachen paper

Using machine learning with target-specific feature sets for structure-property relationship modeling of octane numbers and octane sensitivity

Fuel, vol. 281, pp. 118772

DOI: 10.1016/j.fuel.2020.118772 OpenAlex

Authors 5

  1. Florian vom Lehn corresponding Aachen Institute for Combustion Technology

    RWTH Aachen University

    Affiliation as printed

    Institute for Combustion Technology, RWTH Aachen University, 52056 Aachen, Germany

  2. Benedict Brosius Aachen Institute for Combustion Technology

    RWTH Aachen University

    Affiliation as printed

    Institute for Combustion Technology, RWTH Aachen University, 52056 Aachen, Germany

  3. Rafal Broda Aachen Institute for Combustion Technology

    RWTH Aachen University

    Affiliation as printed

    Institute for Combustion Technology, RWTH Aachen University, 52056 Aachen, Germany

  4. Liming Cai Aachen Institute for Combustion Technology

    RWTH Aachen University

    Affiliation as printed

    Institute for Combustion Technology, RWTH Aachen University, 52056 Aachen, Germany

  5. Heinz G. Pitsch Aachen Institute for Combustion Technology

    RWTH Aachen University

    Affiliation as printed

    Institute for Combustion Technology, RWTH Aachen University, 52056 Aachen, Germany

Cited by 58 stored of 60

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References 75