Work on active learning applied to the exploration of crystals
-
Updated
Oct 24, 2017 - Python
Work on active learning applied to the exploration of crystals
Crystallization after laser treatment of the metal surface
Open-Source Software for the Multiscale Modeling of Combined Antisolvent and Cooling Crystallization in Turbulent Flow Using OpenFOAM
Using the population balance equation (PBE) to model a crystallization system in MATLAB and Simulink.
Object detection and direct image feature extraction for crystallization image data. Code setup to process files and image data from Crystalline system.
Fast automated protocol generation for crystallisation screens
Crystallization Process Design by Proximal Policy Optimization
AMi_Image_Analysis: A software to score crystallization images taken with AMi
Code for AssembleFlow, ICLR 2025
Detection software for crystals in flow using machine learning and a GUI in Python.
PyStokes: phoresis and Stokesian hydrodynamics in Python. github.com/rajeshrinet/pystokes
Study of the cropped images in the OpenCrystalData dataset on Kaggle
Add a description, image, and links to the crystallization topic page so that developers can more easily learn about it.
To associate your repository with the crystallization topic, visit your repo's landing page and select "manage topics."