Ericsson Chenebuah's repositories
perovskite-ML
Comparative Analysis of Machine Learning Approaches on the Prediction of the Electronic Properties of Perovskite: A Case Study of the ABX3 and A2BB’X6
high_dim_descriptor
A feature engineering approach for modeling ternary perovskite target properties by Fourier transforming direct features into the periodic reciprocal crystal lattice
ML_abx3_dataset
An inorganic ABX3 perovskite dataset for target property prediction and classification using machine learning.
qmpy_rester
A toolkit for querying data in OQMD.
cgcnn
Crystal graph convolutional neural networks for predicting material properties.
EVAPD
A deep evolutionary learning framework for discovering stable and synthesizable energy (perovskite) materials.
FTCP
FTCP code
imatgen
image-based generative model for inverse design of solid state materials
QM-SP-ML
Molecular design using signal processing and machine learning
TL-VAE
Software for Target-Learning VAE models (semi-supervisory Generative AI)