Development of quantum accurate high-dose irradiation simulations

Project funded by Research Council of Finland, grant 340538. Participating organisations named by the source: University of Helsinki. Funded amount: EUR 385,069, as stated by the source. Runs 2021-09-01 to 2025-08-31. Keywords: Physical sciences. Source: OpenAIRE Graph, from the funder's project data (collected by OpenAIRE on 2026-07-23); national funding data, not CORDIS. Abstract given by the source: Tungsten is the most promising material of choice to be used in the demanding environment in future fusion power plants, producing energy without CO2. To determine the behavior of the material in such a demanding environment, we will utilize the Artificial Intelligent based Machine learning to describe our system. We will focus on how irradiation is degrading the material utilizing a multi scale model, to achieve results directly comparable with test reactors and experiments. The understanding gained within this project will both give a deep insight in the defect production and accumulation in tungsten as well as pin-point the possible mechanisms that could have detrimental effects on the whole power plant. This will ensure the power plant to be run safely and more reliably, minimizing the service breaks and waste produced.

Original source.

Source: OpenAIRE Graph: projects of national funders, OpenAIRE, from the project data of Research Council of Finland. Retrieved 2026-10-22. Licence: Creative Commons Attribution 4.0 (OpenAIRE Graph). Selected metadata, adapted presentation; the publisher's record is authoritative. No endorsement by the source is implied. Licence: Creative Commons Attribution 4.0 (CC BY 4.0).

AI-assisted summary: The project, funded by the Research Council of Finland with a grant of EUR 385,069, focuses on high-dose irradiation simulations of tungsten for future fusion power plants. It runs from September 1, 2021, to August 31, 2025, involving the University of Helsinki. Suggested technology pillar: simulation. Generated by AI from the public source text; it may contain errors and the original source is authoritative.