2022.8.13 Paper “Melting temperature prediction via first principles and deep learning” is published in Computational Materials Science.
2022.6.1 We are grateful that NSF supports our research of materials under extreme conditions.
2022.4.25 We deploy online here a machine learning model that predicts bulk modulus of materials.
2022.4.8 Welcome to new ME graduate student Sida Xue to our Group!
2022.3.26 Welcome to new MSE graduate student Audrey Campbell to our Group!
2022.3.22 We deploy online here a machine learning model that predicts critical temperature of superconductors.
2022.1.25 Paper “Evaluation of individual and ensemble probabilistic forecasts of COVID-19 mortality in the US” is published at PNAS. Visit my covid model here, one of the best models in forecasting US national fatality.
2021.11.16 Qijun is nominated as one of the finalist for the Rising Stars in Computational Materials Science, organized by Elsevier.
2021.9.26 We deploy online here a machine learning model that predicts melting temperature.
08/16/2021: Qijun joins ASU SEMTE as an Assistant Professor in materials science.
07/15/2021: Paper “A simple method for computing the formation energies of metal oxides” published on Computational Materials Science.
01/04/2021: Paper “Theoretical prediction of high melting temperature for a Mo–Ru–Ta–W HCP multiprincipal element alloy” published on npj Computational Materials.