Machine Learning for Predicting the Viscosity of Complex Fluids and Aiding Formulation Design
Start Date:
- Benchmark dataset development across a multitude of non-Newtonian and shear-thinning complex fluids.
- Genetic algorithm for in silico discovery of viscosity models that outperform existing empirical models.
- Physics-inspired layer integrated with PyTorch for more reliable and interpretable predictions.
- Molecular feature engineering for formulation design with unseen novel chemicals.