Researchers from Oak Ridge National Laboratory have developed an AI-driven model to discover new alloys for use in nuclear fusion facilities. This model helps identify materials that can withstand high temperatures and provide effective shielding in fusion reactors, which are crucial for the future of nuclear fusion. By analyzing combinations of elements such as niobium, tantalum, and vanadium, the AI model accelerates the discovery process, bypassing the traditional trial-and-error approach. The research aims to optimize high entropy alloys, enhancing material performance in extreme environments like fusion reactors.
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