WVU physics student develops machine-learning model for energy and environmental applications

MORGANTOWN, W.Va. -- A West Virginia University physics student has created a new machine-learning model that has the potential to make searching for energy and environmental materials more efficient. 

Gihan Panapitiya, a doctoral student from Sri Lanka, published a study in the Journal of the American Chemical Society using the model to predict the adsorption energies, or adhesive capabilities, in gold nanoparticles.