Text-based modeling of materials.

Superconductors material dataset

Unsupervised fingerprinting of disordered solids leading to analogical materials discovery.

ChemHTPS is an automated high-throughput screening platform for generating materials and chemical data

Prediction model used in the paper: Accelerated Design of Near-Infrared-II Molecular Fluorophores via First-Principle Understanding and Machine Learning.

Microstructural Materials Design Via Deep Adversarial Learning Methodology

closed loop materials discovery using error correction learning

Python package for deep learning on molecular point clouds.

Mycelium Growth and Structural Compression Datasets

Gaussian Processes for Cyclic Voltammetry

Automate everything with python

Metric Learning for Combinatorial Datasets