Metric Learning for Combinatorial Datasets
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Updated
Jan 10, 2020 - MATLAB
Metric Learning for Combinatorial Datasets
Mycelium Growth and Structural Compression Datasets
Gaussian Processes for Cyclic Voltammetry
Automate everything with python
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
Microstructural Materials Design Via Deep Adversarial Learning Methodology
ChemHTPS is an automated high-throughput screening platform for generating materials and chemical data
Unsupervised fingerprinting of disordered solids leading to analogical materials discovery.
Text-based modeling of materials.
Superconductors material dataset
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