João Morado

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 7

Top Topics

Network Analysis

Machine Learning

Top Venues

The journal of physical chemistry. B

Journal of chemical information and modeling

Journal of chemical theory and computation

This page only lists publications with an associated author ORCID identifier.

Publications

Sam Alexander Martino, João Morado, Chenghao Li, Zhenghao Lu, Edina Rosta
Kemeny Constant-Based Optimization of Network Clustering Using Graph Neural Networks. The journal of physical chemistry. B (2024)
Sam Alexander Martino, João Morado, Chenghao Li, Zhenghao Lu, Edina Rosta
Kemeny Constant-Based Optimization of Network Clustering Using Graph Neural Networks. The journal of physical chemistry. B 128 (34) (2024)
Sam Alexander Martino, João Morado, Chenghao Li, Zhenghao Lu, Edina Rosta
Kemeny Constant-Based Optimization of Network Clustering Using Graph Neural Networks. The journal of physical chemistry. B 128 (34) (2024)
Sam Alexander Martino, João Morado, Chenghao Li, Zhenghao Lu, Edina Rosta
Kemeny Constant-Based Optimization of Network Clustering Using Graph Neural Networks. The journal of physical chemistry. B 128 (34) (2024)
João Morado, Paul N Mortenson, J Willem M Nissink, Jonathan W Essex, Chris-Kriton Skylaris
Does a Machine-Learned Potential Perform Better Than an Optimally Tuned Traditional Force Field? A Case Study on Fluorohydrins. Journal of chemical information and modeling (2023)
João Morado, Paul N Mortenson, J Willem M Nissink, Marcel L Verdonk, Richard A Ward, Jonathan W Essex, Chris-Kriton Skylaris
Generation of Quantum Configurational Ensembles Using Approximate Potentials. Journal of chemical theory and computation 17 (11) (2021)
João Morado, Paul N Mortenson, Marcel L Verdonk, Richard A Ward, Jonathan W Essex, Chris-Kriton Skylaris
ParaMol: A Package for Automatic Parameterization of Molecular Mechanics Force Fields. Journal of chemical information and modeling 61 (4) (2021)