Juarez L. F. Da Silva

17 papers C 1Journal 12Unranked 4
YearRankTypeTitle / Venue / Authors
2025 — conf
Mitigating Data Scarcity in Polymer Property Prediction via Multi-task Auxiliary Learning.
ECML/PKDD (9)
Gabriel A. Pinheiro, Marcos G. Quiles, Juarez L. F. Da Silva, Xiaoli Z. Fern
2024 J jnl
Decoding Van der Waals Impact on Chirality Transfer in Perovskite Structures: Density Functional Theory Insights.
J. Chem. Inf. Model.
José E. González, Rafael Besse, Matheus P. Lima, Juarez L. F. Da Silva
2024 — conf
Enhancing Low-Cost Molecular Property Prediction with Contrastive Learning on SMILES Representations.
ICCSA (Workshops 9)
Marcos G. Quiles, Piero A. L. Ribeiro, Gabriel A. Pinheiro, Ronaldo C. Prati, Juarez L. F. Da Silva
2024 J jnl
The Impact of Interdisciplinary, Gender and Geographic Distributions on the Citation Patterns of the Journal of Chemical Information and Modeling.
J. Chem. Inf. Model.
Ronaldo C. Prati, Bruno S. M. Rodrigues, Iberis Aragão, Thereza A. Soares, Marcos G. Quiles, Juarez L. F. Da Silva
2023 — conf
Guided Clustering for Selecting Representatives Samples in Chemical Databases.
ICCSA (Workshops 8)
Felipe V. Calderan, João Paulo Almeida de Mendonça, Juarez L. F. Da Silva, Marcos G. Quiles
2022 J jnl
Molecular Property Prediction and Molecular Design Using a Supervised Grammar Variational Autoencoder.
J. Chem. Inf. Model.
André F. Oliveira, Juarez L. F. Da Silva, Marcos G. Quiles
2022 J jnl
SMICLR: Contrastive Learning on Multiple Molecular Representations for Semisupervised and Unsupervised Representation Learning.
J. Chem. Inf. Model.
Gabriel A. Pinheiro, Juarez L. F. Da Silva, Marcos G. Quiles
2022 J jnl
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.
Alex S. Moraes, Gabriel A. Pinheiro, Tuanan C. Lourenço, Mauro C. Lopes, Marcos G. Quiles, Luis Gustavo Dias, Juarez L. F. Da Silva
2022 C conf
The impact of low-cost molecular geometry optimization in property prediction via graph neural network.
ICMLA
Gabriel A. Pinheiro, Felipe V. Calderan, Juarez L. F. Da Silva, Marcos G. Quiles
2022 J jnl
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.
João Paulo Almeida de Mendonça, Felipe V. Calderan, Tuanan C. Lourenço, Marcos G. Quiles, Juarez L. F. Da Silva
2021 J jnl
Correlation-Based Framework for Extraction of Insights from Quantum Chemistry Databases: Applications for Nanoclusters.
J. Chem. Inf. Model.
Johnatan Mucelini, Marcos G. Quiles, Ronaldo C. Prati, Juarez L. F. Da Silva
2021 J jnl
Energy Decomposition to Access the Stability Changes Induced by CO Adsorption on Transition-Metal 13-Atom Clusters.
J. Chem. Inf. Model.
Krys E. A. Batista, Marinalva D. Soares, Marcos G. Quiles, Maurício J. Piotrowski, Juarez L. F. Da Silva
2021 J jnl
Investigation of the Stability Mechanisms of Eight-Atom Binary Metal Clusters Using DFT Calculations and k-means Clustering Algorithm.
J. Chem. Inf. Model.
Felipe Orlando Morais, Karla F. Andriani, Juarez L. F. Da Silva
2021 J jnl
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.
Luis Cesar de Azevedo, Gabriel A. Pinheiro, Marcos G. Quiles, Juarez L. F. Da Silva, Ronaldo C. Prati
2020 — conf
A Graph-Based Clustering Analysis of the QM9 Dataset via SMILES Descriptors.
ICCSA (1)
Gabriel A. Pinheiro, Juarez L. F. Da Silva, Marinalva D. Soares, Marcos G. Quiles
2020 J jnl
Ab Initio Investigation of CO2 Adsorption on 13-Atom 4d Clusters.
J. Chem. Inf. Model.
Krys E. A. Batista, Vivianne K. Ocampo-Restrepo, Marinalva D. Soares, Marcos G. Quiles, Maurício J. Piotrowski, Juarez L. F. Da Silva
2013 J jnl
Revised Basin-Hopping Monte Carlo Algorithm for Structure Optimization of Clusters and Nanoparticles.
J. Chem. Inf. Model.
Gustavo G. Rondina, Juarez L. F. Da Silva