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