Atomic scale stress prediction using machine learning to reveal information critical in the design of aircraft, spacecraft, and other structures

https://aerospace.illinois.edu/news/43090

"Each grain is a single crystal structure where all the atoms are arranged neatly and very orderly. But the atomic structure of the boundary where these grains meet can be very complex and tend to have very high stresses. These grain boundary stresses are responsible for the fracture and fatigue properties of the metal... machine learning enables the study to quantify, for the first time, the grain boundary stresses in actual metal specimens imaged by electron microscopy"

Related: Why metal microstructures matter: AI pinpoints stress hotspots to guide safer designs
https://techxplore.com/news/2026-02-metal-microstructures-ai-stress-hotspots.html