Detecting ultra-low sulfur levels in superalloys

LECO Corporation, St. Joseph, Mich., has demonstrated how its CS844ES elemental analyzer enables accurate determination of sulfur at levels as low as 0.1 µg in steel, nickel, and superalloys, extending the combustion technique to sensitivities previously unachievable

MIT researchers use AI to uncover atomic defects in materials

Researchers at the Massachusetts Institute of Technology built an AI model trained on 2,000 different semiconductor materials using data from a noninvasive neutron-scattering technique that can detect and classify up to six kinds of point defects in a material simultaneously, something that would be impossible using conventional techniques alone.