In a study published in the journal Nature Computational Materials, researchers described a computational tool to evaluate a material’s suitability for high-temperature applications, such as gas turbines for jet engines and electrical power generators. The computational framework, which incorporates artificial intelligence and basic physics, can forecast how materials will behave under harsh conditions in a fraction of the time compared to other algorithms.
“We have used an innovative and interdisciplinary approach for screening materials that is a million times faster than traditional techniques,” said Dr. Raymundo Arróyave, corresponding author on the study. “Currently, these types of calculations, even for a small temperature above absolute zero, are an enormous challenge because they are computationally expensive.”
This research is funded by the Designing Materials to Revolutionize and Engineer Our Future grant from the NSF.
FEATURED RESEARCHERS
Dr. Raymundo Arróyave
- Professor, Materials Science & Engineering
- Presidential Impact Fellow
- Chancellor EDGES Fellow
Dr. Miladin Radovic
- Professor, Materials Science & Engineering Director
- Materials Characterization Facility