Machine Learning for Electronic Structure and Molecular Dynamics

In the study of known materials and the prediction of the properties of new ones, electronic structure (ES) methods as well as atomistic simulations such as molecular dynamics (MD) have proved to be formidable tools and have facilitated the development of new materials. Machine learning (ML) and Artificial Intelligence (AI) offer systematic approaches to address a number of problems to broaden the scope of traditional ES and MD simulations.

01 Oct 2021

Call for Applications, Masters in Physics

The University of Rwanda (UR) through the ICTP East African Institute for Fundamental Research (EAIFR) is offering a two-year Masters programme in Physics. The application deadline is 15 September 2021.

27 Aug 2021