Doctoral project Benji Leenders

Doctoral project Nikitha Srinivasan

hydrogen penetration through the surface op pipeline steel

Machine Learning for Microstructure Analysis of Steel

Polonium-containing molecules in MYRRHA

The use of artificial intelligence for the classification and interpretation of steel microstructure images

A firmer basis for the reliability claims of solid-state density-functional theory 

AI powereD characterization and modelling for GREEn STeel technology

Computational materials science

Coping with Po in a Pb-Li breeding blanket for nuclear fusion: insight from quantum simulations

DIGImet Technology SERvices for Copper production waste treatment 2021

DIGISER++: DIGImet Technology SERvices for Copper production waste treatment

e-synergy

Exploring the crystal structure of the Earth’s inner core by Density Functional Theory and a genetic search algorithm

High-performant non-oriented electrical steels with a silicon content beyond today's limits : new materials for an electrified future.

Hydrogen Storage and Carriage as Opportunity for Renewable Energy Transition

Innovative and efficient solution, based on modular, versatile, smart process units for energy and resource flexibility in highly energy intensive processes

MAterials design at the eXascale. European Centre of Excellence in materials modelling, simulations, and design

Partitioning And Transmuter Research Initiative in a Collaborative Innovation Action

Technological Research Action Necessary for Safe PARtitioning And Nuclear Transmutation

Towards Reverse-engineering Metallic Microstructures: Leveraging Machine Learning for Advanced Hydrogen Diffusion Simulations

Unlocking the effect of residual elements via the NANOengineering of Sustainable MARTensitic steels

MYRRHA Research and Transmutation Endeavour

Unraveling the relationship between microstructure and piezoelectric properties in modified (Ba,Ca)(Ti,Zr)O3 thin films

Groundbreaking models for spectroscopy and charge transport in molecular dynamics simulations