The materials we rely on every day could become more reliable thanks to AI
Tiny carbon particles mixed with rubber in car tires help distribute heat when we speed up on a highway. And billions of nanoscale switches run the chips in our smartphones. But how long will these important materials last?
A team of physicists and aerospace engineers at CU ǸԹ is working toward a future where artificial intelligence can help answer this question. The scientists created an AI tool that could eventually help engineers design manufactured materials that are more durable and predictable.
“AI in science is not only about automation, speed or replacing human expertise,” said , an associate professor at theAnn and H.J. Smead Department of Aerospace Engineering Sciences, who led the research. “In materials science, AI may help researchers reason about hidden physics.”
On the path to commercialization
Neogi is the founder of AtomTCAD Inc., the CU ǸԹ startup using AI-enhanced modeling to simulate thermal behavior in nanoscale semiconductors. Neogi and AtomTCAD were part of CU ǸԹ's 2025 Ascent Deep Tech Accelerator cohort; . In 2025, Neogi received $150,000 in state grant funding from the Colorado Office of Economic Development and International Trade (OEDIT), matched by $50,000 from Venture Partners.
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