Yue Li

Dr. Yue Li is a Research Fellow at the Max Planck Institute for Iron Research (MPIE) in the Department of Microstructure Physics and Alloy Design since 2019, holding a Ph.D. in Materials Science and Engineering from the University of Science and Technology Beijing (2019).

His educational background includes:

• Ph.D. in Materials Science and Engineering, University of Science and Technology Beijing, 2019

Dr. Li's research spans two key domains: during his Ph.D., he pioneered experimental and modeling studies on hot tearing in 7xxx aluminum alloys through international collaboration with Delft University of Technology; his postdoctoral work now focuses on integrating machine learning with atom probe tomography for nanoscale microstructure analysis. This evolution reflects a strategic shift toward data-driven materials characterization while maintaining core expertise in alloy design.

His publication trends demonstrate interdisciplinary convergence, merging traditional metallurgy with computational intelligence. The 2021 review synthesizes decades of hot tearing research, while the npj Computational Materials paper establishes novel deep learning frameworks for identifying ordered phases in alloys.

Dr. Li's research is supported by prestigious awards:

• Alexander von Humboldt Research Fellowship (awarded September 2021)

He receives continuous funding through the BiGmax project and the Humboldt Fellowship, enabling international collaboration with Prof. L. Katgerman (Delft) during his Ph.D. and current work with Dr. Baptiste Gault at MPIE. His grant portfolio emphasizes cross-institutional knowledge transfer and methodological innovation.

As an active member of MPIE's Department of Microstructure Physics and Alloy Design, Dr. Li contributes to cutting-edge teams developing machine learning pipelines for atom probe tomography, advancing the institute's leadership in computational materials science.