Description
The module 鈥Integrated Data-Driven Materials Science and Digitalisation鈥 provides students with state-of-the art knowledge and expertise in integrated materials modelling, methods and practical modern advanced cloud-based tools to find `and create needed materials and process data for applications in advanced data-driven and machine learning workflows. It covers contemporary topics in digitalisation based on emerging ontology of materials and processes and connection to manufacturing (digital twins), high-throughput computations and characterisation, multiscale, and multi-equation physics based modelling, including electronic density functional theory (DFT), atomistic molecular dynamics (MD), mesoscopic coarse-grained molecular dynamics (CGMD), granular media (GM) and continuum structural mechanics and computational fluid mechanics (CFD) modelling, enabling modelling technological applications on all relevant scales. Advanced modern tools include cloud-based open e-science materials digitalisation and modelling platforms such as , , , and other emerging platforms.
Module deliveries for 2024/25 academic year
Last updated
This module description was last updated on 19th August 2024.
听