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Analysis of Combined Radiation Damage and Plasma Exposure on Tungsten Components for Fusion Reactor Applications

CORDIS · observation · Publication date unknown

tal techniques and computational modelling, the study quantifies radiation effects,characterises plasma exposure effects, and evaluates their combined impacts. A key innovation is the development of machine learning models to predict long-term material behaviour and usage of neural networks in image analysis. By benchmarking W-Cr alloys against pure tungsten and creating predictive models this project provides crucial insights for future fusion reactor design. Aligning with key research missions on neutron tolerance and safety, this project integrates cutting-edge materials science with fusion technology development, aiming to accelerate progress towards sustainable, carbon-free fusion energy. The project's multidisciplinary approach combines radiation physics, plasma science, and advanced materials characterization techniques. The findings will not only advance our understanding of W-Cr alloys but also contribute to the broader field of extreme environment materials, potentially impacting other areas of energy research and industrial applications. By addressing key challenges in f

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recordType

award

status

SIGNED

region

EU

value

276187.92

unit

EUR