-
LCMGM Public
A deep generative modeling architecture for designing lattice constrained materials
-
ML_abx3_dataset Public
An inorganic ABX3 perovskite dataset for target property prediction and classification using machine learning.
-
EVAPD Public
A deep evolutionary learning framework for discovering stable and synthesizable energy (perovskite) materials.
-
TL-VAE Public
Software for Target-Learning VAE models (semi-supervisory Generative AI)
Python UpdatedJan 8, 2024 -
materials_discovery Public
Forked from google-deepmind/materials_discoveryPython Apache License 2.0 UpdatedDec 2, 2023 -
high_dim_descriptor Public
A feature engineering approach for modeling ternary perovskite target properties by Fourier transforming direct features into the periodic reciprocal crystal lattice
-
-
perovskite-ML Public
Comparative Analysis of Machine Learning Approaches on the Prediction of the Electronic Properties of Perovskite: A Case Study of the ABX3 and A2BB’X6
-
QM-SP-ML Public
Forked from TABeau/QM-SP-MLMolecular design using signal processing and machine learning
Python UpdatedFeb 9, 2021 -
qmpy_rester Public
Forked from mohanliu/qmpy_resterA toolkit for querying data in OQMD.
-
cgcnn Public
Forked from txie-93/cgcnnCrystal graph convolutional neural networks for predicting material properties.
Python MIT License UpdatedMay 19, 2020 -
imatgen Public
Forked from kaist-amsg/imatgen 30DCimage-based generative model for inverse design of solid state materials
Python UpdatedMar 6, 2020
{{ message }}