This article highlights a study from EPFL’s MARVEL lab that identifies promising materials for use in nuclear fusion reactors, focusing on materials that can withstand the intense conditions within the ITER reactor’s divertor, where plasma-facing materials endure extreme heat and particle bombardment. Researchers developed a computational approach to screen materials based on thermal stability, melting points, and resistance to erosion and degradation. After narrowing down 71 potential candidates, they applied further simulations and literature reviews, ultimately selecting 21 materials with strong resistance properties, including tungsten, molybdenum, and innovative ceramics. Future work aims to integrate neural networks to enhance simulations for neutron interactions, advancing the search for optimal fusion reactor materials.
For more details, please continue reading the full article under the following link:
Please consult also the Quantum Server Marketplace platform for the outsourcing of computational science R&D projects to external expert consultants through remote collaborations:
#materials #materialsscience #materialsengineering #computationalchemistry #modelling #chemistry #researchanddevelopment #research #MaterialsSquare #ComputationalChemistry #Tutorial #DFT #simulationsoftware #simulation