FormulationAI: A Hierarchical Machine Learning (ML) Framework for Predicting Emulsion Stability
Start Date:
- Constructed a benchmark dataset of 256 emulsions from industry-relevant materials with measured stability.
- Developed a robust ML pipeline with various featurization methods and models for real-world formulation applications.
- Proposed a hierarchical ML framework that integrates domain knowledge to enhance model performance and interpretability.