Unsupervised fingerprinting of disordered solids leading to analogical materials discovery.
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Updated
Feb 14, 2023 - Python
Unsupervised fingerprinting of disordered solids leading to analogical materials discovery.
Text-based modeling of materials.
Superconductors material dataset
ChemHTPS is an automated high-throughput screening platform for generating materials and chemical data
Metric Learning for Combinatorial Datasets
Python package for deep learning on molecular point clouds.
Mycelium Growth and Structural Compression Datasets
Microstructural Materials Design Via Deep Adversarial Learning Methodology
Gaussian Processes for Cyclic Voltammetry
Prediction model used in the paper: Accelerated Design of Near-Infrared-II Molecular Fluorophores via First-Principle Understanding and Machine Learning.
closed loop materials discovery using error correction learning
Automate everything with python
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