Marinalva Dias Soares

Machine Learning Prediction of Nine Molecular Properties Based on the SMILES Representation of the QM9 Quantum-Chemistry Dataset

Gabriel A. Pinheiro, Johnatan Mucelini, Marinalva Dias Soares et al. · The Journal of Physical Chemistry A · 2020 · 120 citations

Qm9 Quantum-chemistry Dataset, Engineering, Machine Learning +21

Campo Verde Database: Seeking to Improve Agricultural Remote Sensing of Tropical Areas

Ieda Del’Arco Sanches, Raul Queiroz Feitosa, Pedro Achanccaray et al. · IEEE Geoscience and Remote Sensing Letters · 2018 · 57 citations

Precision Agriculture, Engineering, Land Use +25

<i>Ab Initio</i> Insights into the Formation Mechanisms of 55-Atom Pt-Based Core–Shell Nanoalloys

Paulo C. D. Mendes, Stella G. Justo, Johnatan Mucelini et al. · The Journal of Physical Chemistry C · 2019 · 33 citations

Engineering, Nanocluster, Core–shell Pttm +16

LEM BENCHMARK DATABASE FOR TROPICAL AGRICULTURAL REMOTE SENSING APPLICATION

Ieda Del’Arco Sanches, Raul Queiroz Feitosa, Pedro Achanccaray et al. · ˜The œinternational archives of the photogrammetry, remote sensing and spatial information sciences/International archives of the photogrammetry, remote sensing and spatial information sciences · 2018 · 28 citations · Full text

Precision Agriculture, Environmental Monitoring, Engineering +16

<i>Ab Initio</i> Investigation of CO₂ Adsorption on 13-Atom 4d Clusters

Krys E. A. Batista, Vivianne K. Ocampo‐Restrepo, Marinalva Dias Soares et al. · Journal of Chemical Information and Modeling · 2020 · 28 citations · Full text