Text-based modeling of materials.
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Updated
Aug 21, 2024 - Jupyter Notebook
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
Microstructural Materials Design Via Deep Adversarial Learning Methodology
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
Mycelium Growth and Structural Compression Datasets
Gaussian Processes for Cyclic Voltammetry
Automate everything with python
Metric Learning for Combinatorial Datasets
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