AiLabTeams/PolySphere-AI: PolySphere-AI
Abstract
This project open-sources a set of intelligent perception and regulation algorithms for polystyrene microsphere synthesis and gas-liquid interface self-assembly processes. The project includes four core modules, covering the entire process from microsphere synthesis particle size prediction, dispersion formulation optimization, self-assembly defect detection, to substrate arrangement quality assessment.
Fields of Study & Subjects
Industrial Vision Systems and Defect Detection
Machine Learning in Materials Science
Pickering emulsions and particle stabilization
Publication details
- Journal / source
- Zenodo (CERN European Organization for Nuclear Research)
- Publication date
- 9 January 2026