Juarez L. F. Da Silva

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 15

Top Topics

Clustering Analysis

Clustering Algorithm

Top Venues

J. Chem. Inf. Model.

ICCSA (Workshops 9)

ICCSA (Workshops 8)

Publications

José E. González, Rafael Besse, Matheus P. Lima, Juarez L. F. Da Silva
Decoding Van der Waals Impact on Chirality Transfer in Perovskite Structures: Density Functional Theory Insights. J. Chem. Inf. Model. 64 (4) (2024)
Ronaldo C. Prati, Bruno S. M. Rodrigues, Iberis Aragão, Thereza A. Soares, Marcos G. Quiles, Juarez L. F. Da Silva
The Impact of Interdisciplinary, Gender and Geographic Distributions on the Citation Patterns of the Journal of Chemical Information and Modeling. J. Chem. Inf. Model. 64 (4) (2024)
Marcos G. Quiles, Piero A. L. Ribeiro, Gabriel A. Pinheiro, Ronaldo C. Prati, Juarez L. F. Da Silva
Enhancing Low-Cost Molecular Property Prediction with Contrastive Learning on SMILES Representations. ICCSA (Workshops 9) (2024)
Felipe V. Calderan, João Paulo A. de Mendonça, Juarez L. F. Da Silva, Marcos G. Quiles
Guided Clustering for Selecting Representatives Samples in Chemical Databases. ICCSA (Workshops 8) (2023)
Gabriel A. Pinheiro, Felipe V. Calderan, Juarez L. F. Da Silva, Marcos G. Quiles
The impact of low-cost molecular geometry optimization in property prediction via graph neural network. ICMLA (2022)
Alex S. Moraes, Gabriel A. Pinheiro, Tuanan C. Lourenço, Mauro C. Lopes, Marcos G. Quiles, Luis Gustavo Dias, Juarez L. F. Da Silva
Screening of the Role of the Chemical Structure in the Electrochemical Stability Window of Ionic Liquids: DFT Calculations Combined with Data Mining. J. Chem. Inf. Model. 62 (19) (2022)
André F. Oliveira, Juarez L. F. Da Silva, Marcos G. Quiles
Molecular Property Prediction and Molecular Design Using a Supervised Grammar Variational Autoencoder. J. Chem. Inf. Model. 62 (4) (2022)
Gabriel A. Pinheiro, Juarez L. F. Da Silva, Marcos G. Quiles
SMICLR: Contrastive Learning on Multiple Molecular Representations for Semisupervised and Unsupervised Representation Learning. J. Chem. Inf. Model. 62 (17) (2022)
João Paulo A. de Mendonça, Felipe V. Calderan, Tuanan C. Lourenço, Marcos G. Quiles, Juarez L. F. Da Silva
Theoretical Framework Based on Molecular Dynamics and Data Mining Analyses for the Study of Potential Energy Surfaces of Finite-Size Particles. J. Chem. Inf. Model. 62 (22) (2022)
Luis Cesar de Azevedo, Gabriel A. Pinheiro, Marcos G. Quiles, Juarez L. F. Da Silva, Ronaldo C. Prati
Systematic Investigation of Error Distribution in Machine Learning Algorithms Applied to the Quantum-Chemistry QM9 Data Set Using the Bias and Variance Decomposition. J. Chem. Inf. Model. 61 (9) (2021)
Johnatan Mucelini, Marcos G. Quiles, Ronaldo C. Prati, Juarez L. F. Da Silva
Correlation-Based Framework for Extraction of Insights from Quantum Chemistry Databases: Applications for Nanoclusters. J. Chem. Inf. Model. 61 (3) (2021)
Krys E. A. Batista, Marinalva D. Soares, Marcos G. Quiles, Maurício J. Piotrowski, Juarez L. F. Da Silva
Energy Decomposition to Access the Stability Changes Induced by CO Adsorption on Transition-Metal 13-Atom Clusters. J. Chem. Inf. Model. 61 (5) (2021)
Felipe Orlando Morais, Karla F. Andriani, Juarez L. F. Da Silva
Investigation of the Stability Mechanisms of Eight-Atom Binary Metal Clusters Using DFT Calculations and k-means Clustering Algorithm. J. Chem. Inf. Model. 61 (7) (2021)
Krys E. A. Batista, Vivianne K. Ocampo-Restrepo, Marinalva D. Soares, Marcos G. Quiles, Maurício J. Piotrowski, Juarez L. F. Da Silva
Ab Initio Investigation of CO2 Adsorption on 13-Atom 4d Clusters. J. Chem. Inf. Model. 60 (2) (2020)
Gabriel A. Pinheiro, Juarez L. F. Da Silva, Marinalva D. Soares, Marcos G. Quiles
A Graph-Based Clustering Analysis of the QM9 Dataset via SMILES Descriptors. ICCSA (1) (2020)
Gustavo G. Rondina, Juarez L. F. Da Silva
Revised Basin-Hopping Monte Carlo Algorithm for Structure Optimization of Clusters and Nanoparticles. J. Chem. Inf. Model. 53 (9) (2013)