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Marcos G Quiles

Showing results (11-20 of 26) with videos related to

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Journal of Chemical Information and Modeling|May 3, 2021
Energy Decomposition to Access the Stability Changes Induced by CO Adsorption on Transition-Metal 13-Atom ClustersKrys E A Batista, Marinalva D Soares, Marcos G Quiles, et al.
Journal of Chemical Information and Modeling|August 13, 2021
Systematic Investigation of Error Distribution in Machine Learning Algorithms Applied to the Quantum-Chemistry QM9 Data Set Using the Bias and Variance DecompositionLuis Cesar de Azevedo, Gabriel A Pinheiro, Marcos G Quiles, et al.
The Journal of Physical Chemistry. A|November 11, 2020
Machine Learning Prediction of Nine Molecular Properties Based on the SMILES Representation of the QM9 Quantum-Chemistry DatasetGabriel A Pinheiro, Johnatan Mucelini, Marinalva D Soares, et al.
Journal of Chemical Information and Modeling|October 27, 2022
Theoretical Framework Based on Molecular Dynamics and Data Mining Analyses for the Study of Potential Energy Surfaces of Finite-Size ParticlesJoão Paulo A de Mendonça, Felipe V Calderan, Tuanan C Lourenço, et al.
Plos One|March 10, 2021
Topological indexes and community structure for urban mobility networks: Variations in a business dayJéssica D Lamosa, Lívia R Tomás, Marcos G Quiles, et al.
Journal of Chemical Information and Modeling|February 12, 2024
The Impact of Interdisciplinary, Gender and Geographic Distributions on the Citation Patterns of the Journal of Chemical Information and ModelingRonaldo C Prati, Bruno S M Rodrigues, Iberis Aragão, et al.
ACS Omega|February 16, 2026
Cut-SOAP: A Machine Learning Descriptor for Rapid Screening of Molecular Adsorption EnergeticsFelipe V Calderan, Karla F Andriani, Priscilla Felício-Sousa, et al.
ACS Omega|September 29, 2025
Exploring the Adsorption Properties of Small Molecules on CeZr-Based NanoclustersRaquel C Bezerra, Felipe V Calderan, Priscilla Felício-Sousa, et al.
Nature Communications|August 14, 2020
Spatiotemporal data analysis with chronological networksLeonardo N Ferreira, Didier A Vega-Oliveros, Moshé Cotacallapa, et al.
Journal of Chemical Information and Modeling|January 10, 2020
<i>Ab Initio</i> Investigation of CO<sub>2</sub> Adsorption on 13-Atom 4d ClustersKrys E A Batista, Vivianne K Ocampo-Restrepo, Marinalva D Soares, et al.
Pageof 3

Showing results (11-20 of 26) with videos related to

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Pageof 3
Journal of Chemical Information and Modeling|May 3, 2021
Energy Decomposition to Access the Stability Changes Induced by CO Adsorption on Transition-Metal 13-Atom ClustersKrys E A Batista, Marinalva D Soares, Marcos G Quiles, et al.
Journal of Chemical Information and Modeling|August 13, 2021
Systematic Investigation of Error Distribution in Machine Learning Algorithms Applied to the Quantum-Chemistry QM9 Data Set Using the Bias and Variance DecompositionLuis Cesar de Azevedo, Gabriel A Pinheiro, Marcos G Quiles, et al.
The Journal of Physical Chemistry. A|November 11, 2020
Machine Learning Prediction of Nine Molecular Properties Based on the SMILES Representation of the QM9 Quantum-Chemistry DatasetGabriel A Pinheiro, Johnatan Mucelini, Marinalva D Soares, et al.
Journal of Chemical Information and Modeling|October 27, 2022
Theoretical Framework Based on Molecular Dynamics and Data Mining Analyses for the Study of Potential Energy Surfaces of Finite-Size ParticlesJoão Paulo A de Mendonça, Felipe V Calderan, Tuanan C Lourenço, et al.
Plos One|March 10, 2021
Topological indexes and community structure for urban mobility networks: Variations in a business dayJéssica D Lamosa, Lívia R Tomás, Marcos G Quiles, et al.
Journal of Chemical Information and Modeling|February 12, 2024
The Impact of Interdisciplinary, Gender and Geographic Distributions on the Citation Patterns of the Journal of Chemical Information and ModelingRonaldo C Prati, Bruno S M Rodrigues, Iberis Aragão, et al.
ACS Omega|February 16, 2026
Cut-SOAP: A Machine Learning Descriptor for Rapid Screening of Molecular Adsorption EnergeticsFelipe V Calderan, Karla F Andriani, Priscilla Felício-Sousa, et al.
ACS Omega|September 29, 2025
Exploring the Adsorption Properties of Small Molecules on CeZr-Based NanoclustersRaquel C Bezerra, Felipe V Calderan, Priscilla Felício-Sousa, et al.
Nature Communications|August 14, 2020
Spatiotemporal data analysis with chronological networksLeonardo N Ferreira, Didier A Vega-Oliveros, Moshé Cotacallapa, et al.
Journal of Chemical Information and Modeling|January 10, 2020
<i>Ab Initio</i> Investigation of CO<sub>2</sub> Adsorption on 13-Atom 4d ClustersKrys E A Batista, Vivianne K Ocampo-Restrepo, Marinalva D Soares, et al.
Pageof 3