Juarez L. F. Da Silva

According to our database, Juarez L. F. Da Silva authored at least 16 papers between 2013 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of five.

2024

The Impact of Interdisciplinary, Gender and Geographic Distributions on the Citation Patterns of the Journal of Chemical Information and Modeling.

Ronaldo C. Prati, Bruno S. M. Rodrigues, Iberis Aragão, Thereza A. Soares, Marcos G. Quiles, Juarez L. F. Da Silva

J. Chem. Inf. Model., February, 2024

Decoding Van der Waals Impact on Chirality Transfer in Perovskite Structures: Density Functional Theory Insights.

José E. González, Rafael Besse, Matheus P. Lima, Juarez L. F. Da Silva

J. Chem. Inf. Model., February, 2024

Enhancing Low-Cost Molecular Property Prediction with Contrastive Learning on SMILES Representations.

Marcos G. Quiles, Piero A. L. Ribeiro, Gabriel A. Pinheiro, Ronaldo C. Prati, Juarez L. F. Da Silva

Proceedings of the Computational Science and Its Applications - ICCSA 2024 Workshops, 2024

2023

Guided Clustering for Selecting Representatives Samples in Chemical Databases.

Felipe V. Calderan, João Paulo Almeida de Mendonça, Juarez L. F. Da Silva, Marcos G. Quiles

Proceedings of the Computational Science and Its Applications - ICCSA 2023 Workshops, 2023

2022

SMICLR: Contrastive Learning on Multiple Molecular Representations for Semisupervised and Unsupervised Representation Learning.

Gabriel A. Pinheiro, Juarez L. F. Da Silva, Marcos G. Quiles

J. Chem. Inf. Model., 2022

Molecular Property Prediction and Molecular Design Using a Supervised Grammar Variational Autoencoder.

André F. Oliveira, Juarez L. F. Da Silva, Marcos G. Quiles

J. Chem. Inf. Model., 2022

Screening of the Role of the Chemical Structure in the Electrochemical Stability Window of Ionic Liquids: DFT Calculations Combined with Data Mining.

Alex S. Moraes, Gabriel A. Pinheiro, Tuanan C. Lourenço, Mauro C. Lopes, Marcos G. Quiles, Luis Gustavo Dias, Juarez L. F. Da Silva

J. Chem. Inf. Model., 2022

Theoretical Framework Based on Molecular Dynamics and Data Mining Analyses for the Study of Potential Energy Surfaces of Finite-Size Particles.

João Paulo Almeida de Mendonça, Felipe V. Calderan, Tuanan C. Lourenço, Marcos G. Quiles, Juarez L. F. Da Silva

J. Chem. Inf. Model., 2022

The impact of low-cost molecular geometry optimization in property prediction via graph neural network.

Gabriel A. Pinheiro, Felipe V. Calderan, Juarez L. F. Da Silva, Marcos G. Quiles

Proceedings of the 21st IEEE International Conference on Machine Learning and Applications, 2022

2021

Correlation-Based Framework for Extraction of Insights from Quantum Chemistry Databases: Applications for Nanoclusters.

Johnatan Mucelini, Marcos G. Quiles, Ronaldo C. Prati, Juarez L. F. Da Silva

J. Chem. Inf. Model., 2021

Investigation of the Stability Mechanisms of Eight-Atom Binary Metal Clusters Using DFT Calculations and k-means Clustering Algorithm.

Felipe Orlando Morais, Karla F. Andriani, Juarez L. F. Da Silva

J. Chem. Inf. Model., 2021

Energy Decomposition to Access the Stability Changes Induced by CO Adsorption on Transition-Metal 13-Atom Clusters.

Krys E. A. Batista, Marinalva D. Soares, Marcos G. Quiles, Maurício J. Piotrowski, Juarez L. F. Da Silva

J. Chem. Inf. Model., 2021

Systematic Investigation of Error Distribution in Machine Learning Algorithms Applied to the Quantum-Chemistry QM9 Data Set Using the Bias and Variance Decomposition.

Luis Cesar de Azevedo, Gabriel A. Pinheiro, Marcos G. Quiles, Juarez L. F. Da Silva, Ronaldo C. Prati

J. Chem. Inf. Model., 2021

2020

Ab Initio Investigation of CO2 Adsorption on 13-Atom 4d Clusters.

Krys E. A. Batista, Vivianne K. Ocampo-Restrepo, Marinalva D. Soares, Marcos G. Quiles, Maurício J. Piotrowski, Juarez L. F. Da Silva

J. Chem. Inf. Model., 2020

A Graph-Based Clustering Analysis of the QM9 Dataset via SMILES Descriptors.

Gabriel A. Pinheiro, Juarez L. F. Da Silva, Marinalva D. Soares, Marcos G. Quiles

Proceedings of the Computational Science and Its Applications - ICCSA 2020, 2020

2013

Revised Basin-Hopping Monte Carlo Algorithm for Structure Optimization of Clusters and Nanoparticles.

Gustavo G. Rondina, Juarez L. F. Da Silva

J. Chem. Inf. Model., 2013