Weiyi Xia

Weiyi Xia is a Postdoc Research Associate at Iowa State University, affiliated with the Condensed Matter group. His research focuses on integrating machine learning with computational physics to accelerate materials discovery and design, particularly for magnetic anisotropy, ternary compounds, and two-dimensional materials.

His work spans disciplines including Materials Science, Machine Learning, and Condensed Matter Physics. Key subfields of interest are Magnetic Materials, Hydrogen Storage, 2D Electronic Materials, First-principles Calculations, Giant Magnetic Anisotropy, and GW Quasiparticle Methods.

Recent publications highlight trends in machine learning for alloy design, antagonistic pair prediction, computational magnetism, and quasiparticle band structures. Themes include AI-assisted adaptive feedback, parallel computing, and experimental synthesis of rare-earth-free magnets, with a strong emphasis on low-dimensional systems and excitonic absorption in 2D materials.