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 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.

from Top Technology News -- ScienceDaily https://ift.tt/Pq98UIW