Code for AssembleFlow, ICLR 2025
Crystallization Process Design by Proximal Policy Optimization
Work on active learning applied to the exploration of crystals
Study of the cropped images in the OpenCrystalData dataset on Kaggle
AMi_Image_Analysis: A software to score crystallization images taken with AMi
Fast automated protocol generation for crystallisation screens
Parsed, normalised and sequence-linked database of crystallisation conditions from the Protein Data Bank
DINO-SR self-supervised classifier for 4D-STEM diffraction: training, GUI, NL assistant (Ollama), NMF/ACOM/interpretation pipeline.
Command-line tools for data processing, smoothing, and visualization in scientific workflows.
Detection software for crystals in flow using machine learning and a GUI in Python.
Python workflow for PCHIP-based MGI and FBRM onset analysis, including review galleries and a synthetic example.
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