Presentations

18. Design of high-melting-temperature materials via first principles and deep learning.
Qijun Hong.
Calphad 2022, Stockholm, Sweden (2022).

17. Materials design of high-melting-point materials from first principles, database, and machine learning.
Qijun Hong.
TMS annual meeting, Anaheim CA (2022). (Invited Talk)

16. Materials design and discovery of high-melting-point materials from ab initio and deep learning.
Qijun Hong.
University of Colorado, Colorado Springs (2022). (Invited Talk)

15. Materials design and discovery of high-melting-point materials from ab initio, database, and deep learning.
Qijun Hong.
University of Science and Technology of China (2021). (Invited Talk)

14. Experimental and computational thermodynamics of refractory materials at high temperature.
Alexandra Navrotsky, Axel van de Walle, Sergey Ushakov and Qi-Jun Hong.
Calphad Global (2021). (Invited talk & Planery talk)

13. Ab initio computational discovery of high melting temperature materials.
Qijun Hong.
Arizona State University (2021).

12. Reentrant melting of sodium, magnesium and aluminum and possible universal trend.
Qijun Hong and Axel van de Walle.
Calphad XLVII, Querétaro, Mexico (2018).

11. Reentrant melting of sodium, magnesium and aluminum and possible universal trend.
Qijun Hong and Axel van de Walle.
TMS annual meeting, Phoenix AZ (2018).

10. Software tools for high-throughput CALPHAD from rst-principles data.
Axel van de Walle, Ruoshi Sun, Qi-Jun Hong, Sara Kadkhodaei.
TMS annual meeting (2018). (Invited talk)

9. A tetrahedron tiling method for crystal structure prediction.
Qijun Hong and Axel van de Walle.
TMS annual meeting, San Diego CA (2017).

8. Calculations of heat of fusion and melting temperature via an automated ab initio tool.
Qijun Hong and Axel van de Walle.
STOHT16 (International Research Conference on Structure and Thermodynamics of Oxides at High Temperature), UC Davis, Davis CA (2016) (Poster).

7. Prediction of the material with highest know melting point via an automated ab initio melting point calculation tool.
Qijun Hong and Axel van de Walle.
Materials Science and Technology, Columbus OH (2015).

6. Ab initio prediction of the material with highest known melting point.
Qijun Hong and Axel van de Walle.
TMS annual meeting, Orlando FL (2015).

5. Prediction of the material with highest know melting point via an automated ab initio melting point calculation tool.
Qijun Hong and Axel van de Walle.
University of Wisconsin, Madison WI (2015) (Poster).

4. Ab initio prediction of the material with highest known melting point.
Qijun Hong and Axel van de Walle.
MRS fall meeting, Boston MA (2014).

3. Solid‐liquid coexistence in small systems: a statistical method to calculate melting temperatures.
Qijun Hong and Axel van de Walle.
National Institute of Standards and Technology, Gaithersburg MD (2014).

2. Solid-liquid Coexistence in Small Systems: A Statistical Method to Calculate Melting Temperatures.
Qijun Hong and Axel van de Walle.
TMS annual meeting, San Diego CA (2014).

1. Direct First-principles Chemical Potential Calculations of Liquids.
Qijun Hong and Axel van de Walle.
MRS fall meeting, Boston MA (2012).