Name: Pierre-Paul De Breuck
Type: User
Bio: Research Intern at Mila, Montreal. PhD student @modl-uclouvain. Computational materials scientist specialized in Machine Learning for materials discovery.
Location: Montreal
Blog: https://pierrepauldb.com
Pierre-Paul De Breuck's Projects
MatBench: Benchmark for materials science property prediction
MODNet: a framework for machine learning materials properties
Data repository accompanying "Robust model benchmarking and bias-imbalance in data-driven materials science: a case study on MODNet"
This repository contains the files used for the ab inito simulation based on DFT for SnO2
This interactive notebook includes the original implementation of total cumulative mutual information (TCMI) to reproduce the main results presented in the publication "TCMI: a non-parametric mutual-dependence estimator for multivariate continuous distributions" (DOI: 10.1007/s10618-022-00847-y) (Preprint: https://arxiv.org/abs/2001.11212).
Vote on whether you think predicted crystal structures could be synthesised
A Thermal Transfer Neural Network