A groundbreaking NETL study demonstrated that machine learning (ML) and data analytics can be used to design next-generation alloys needed to operate fossil fuel-based power plants with greater efficiency and produce affordable electricity while lowering emissions of greenhouse gas.
Completed by a team at NETL’s facility in Albany, Oregon, an internationally recognized center of excellence for alloy fabrication, the study validated the application of ML analysis to enable more rapid and exceptionally accurate design of high entropy alloys (HEAs) — critical materials for ultra-efficient power generation — and eliminate the trial-and-error method and other models to develop these advanced materials.
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