Developing new metallic materials using data-driven frameworks and AI
(From left) Johns Hopkins University graduate student Allana Iwanicki holds one of the new alloys designed and synthesized in this research, with Tyrel McQueen, professor of materials science and engineering at Johns Hopkins (Photo courtesy of Allana Iwanick)
May 15, 2025 – Found in knee replacements and bone plates, aircraft components, and catalytic converters, the exceptionally strong metals known as multiple principal element alloys (MPEA) are about to get even stronger through to artificial intelligence. Scientists of Virginia Tech en Johns Hopkins University have designed a new MPEA with superior mechanical properties using a data-driven framework that leverages the supercomputing power of explainable artificial intelligence (AI).
The research was published May 15 in Nature Computional Materials under the title “Experimentally validated inverse design of FeNiCrCoCu MPEAs and unlocking key insights with explainable AI.”
