Dr. Aarne Pohjonen, a researcher on the AID4GREENEST project, delivered three talks at Eurosim 2024, covering topics in materials modelling and computational methods.
His presentations explored a cellular automata model for austenite formation and grain growth, random walk-based modelling of diffusion-controlled growth, and GPU acceleration of numerical methods for solving partial differential equations.
These topics are all related to the simulation of materials behaviour and improving computational efficiency. Understanding phase transformations, diffusion processes, and faster numerical solutions helps improve the accuracy and speed of materials modelling. This is especially important for applications in steel processing, where predicting microstructural changes is key to optimising performance.
This research is highly relevant to AID4GREENEST, which focuses on developing AI-based rapid characterisation and modelling tools for the steel industry. More efficient and accurate simulations can help design better steel alloys, improve processing methods, and enhance product performance. These advancements support the project’s broader goals of reducing environmental impact, minimising waste, and optimising material use.
Dr. Pohjonen is one member of the University of Oulu’s (UOulu) research team in the AID4GREENEST project alongside Prof. Mahesh Somani and Rishabh Bharadwaj.
Find out more about UOulu’s role in AID4GREENEST on our YouTube channel:
