Machine Learning Enables Optimal Design of Anti-Biofouling Polymer Brush Films

Machine learning, a tool increasingly used for the discovery and design of new materials, has now been adopted by researchers from Tokyo Tech to design polymer brush films with desirable protein adsorption properties. Using a random forest regression model, they have identified the properties that affect protein adsorption and cell adhesion onto these films, providing a guideline for the development of anti-biofouling materials.