Imagine trying to build a machine that runs as hot as the sun, where the parts usually melt or rust away quickly. This work creates a new 'super-recipe' for metals and coatings that act like a shield against extreme heat and radiation. It uses computer AI to find the best material mixes quickly instead of guessing in a lab for years.
Current structural materials cannot withstand the extreme corrosion, radiation, and heat required for Gen IV nuclear reactors and fusion energy, leading to short component lifespans and safety risks.
A suite of high entropy alloys (HEAs), alumina-forming austenitic steels, and advanced ceramic-metal coatings. These were developed using AI-driven genetic algorithms and validated through 5000-hour exposure tests.
If you are a reactor developer dealing with corrosive lead or molten salts—this project developed high entropy alloys and alumina-forming steels that increase corrosion resistance and thermal stability. This allows for safer, longer-lasting reactor cores.
If you are a CSP operator dealing with extreme temperature fluctuations and material degradation—this project developed innovative structural materials that offer high temperature strength. This reduces the frequency of expensive part replacements.
If you are an infrastructure provider dealing with hydrogen embrittlement and leakage—this project developed advanced material solutions for hydrogen confinement. This ensures the structural integrity of containment vessels.
Based on available project data, there is no specific pricing or cost-per-unit information provided; the focus is currently on material discovery and qualification.
The project is currently in the screening and validation phase, producing sample ingots and distributing them to 39 partners for characterization, indicating it is not yet at full industrial scale.
Based on available project data, specific licensing terms are not listed, but the project involves 9 industry partners who are likely involved in the development of these material solutions.
The project runs from 2022-09-01 to 2026-08-31, with specific coating production and distribution targets set for December 2025.
The project focuses on specific applications like weld overlays on 316L and coatings for EUROFER, designed to fit into fission lead-cooled, molten-salt, and fusion DEMO reactors.
The consortium is heavily weighted toward research and academia, with 11 universities and 18 research institutes. However, there is significant industrial validation with 9 industry partners (23% ratio), including 2 SMEs, spanning 15 countries. This suggests a strong pipeline from theoretical material science to industrial testing.
Contact the Karlsruher Institut fuer Technologie (KIT) in Germany.
Contact SciTransfer to connect with the INNUMAT consortium for material licensing or testing partnerships.
