Replaces manual image segmentation in microscopy with deep learning models for atomic-scale feature extraction. Combines PyTorch-based neural networks with probabilistic Gaussian processes for uncertainty quantification.
Tech Stack
PythonChemistry & Materials
Why atomai?
• Built-in neural networks
• Handles noisy data well
• Active Jupyter support
Limitations
• Requires GPU hardware
• Deep learning knowledge needed
• Microscopy-specific focus
3/3/2026
Last Update
42
Forks
11
Issues
MIT
License
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