Zhao, Y.; Fantin, A.; Li, Y.; Li, T.; Gong, Y.: Quantifying chemical short-range order and local lattice distortion in Ti–Zr–Nb alloys. DPG Spring Meeting of the Condensed Matter Section, Dresden, Germany (2026)
Li, Y.; Gault, B.: Machine Learning-enabled Tomographic Imaging of Chemical Short-range Order in Fe-based Solid-solutions. DPG 2024, Berlin, Germany (2024)
Li, Y.; Gault, B.: Machine Learning-enabled Tomographic Imaging of Chemical Short-range Order in Fe-based Solid-solutions. TMS 2024, Orlando, FL, USA (2024)
Li, Y.; Gault, B.: Quantitative three-dimensional imaging of chemical short-range order via machine learning enhanced atom probe tomography. BiGmax Spring Meeting 2022, Bochum, Germany (2022)
International researcher team presents a novel microstructure design strategy for lean medium-manganese steels with optimized properties in the journal Science
This study investigates the mechanical properties of liquid-encapsulated metallic microstructures created using a localized electrodeposition method. By encapsulating liquid within the complex metal microstructures, we explore how the liquid influences compressive and vibrational characteristics, particularly under varying temperatures and strain…
In this project, we investigate a high angle grain boundary in elemental copper on the atomic scale which shows an alternating pattern of two different grain boundary phases. This work provides unprecedented views into the intrinsic mechanisms of GB phase transitions in simple elemental metals and opens entirely novel possibilities to kinetically engineer interfacial properties.