Switzerland, Feb. 7 -- Project Id: 124428
Description: Project description
A combined approach to enhancing modelling of material properties
Machine learning enhances material predictive modelling, reducing the time it takes to investigate the physical, chemical and mechanical properties of materials from years to months. However, current machine learning simulations cannot sufficiently address modern modelling challenges that involve complex materials in realistic conditions. Interdisciplinary research that spans machine learning, quantum mechanical and statistical mechanical methods could help further develop the potential of machine learning. The goal of the EU-funded FIAMMA project is to create a "plug-and-play" framework that allows...