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Qi-Jun Hong

Showing results (1-10 of 10) with videos related to

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Materials (Basel, Switzerland)|September 14, 2024
Materials Properties Prediction (MAPP): Empowering the Prediction of Material Properties Solely Based on Chemical FormulasSi-Da Xue, Qi-Jun Hong
The Journal of Chemical Physics|September 11, 2012
Direct first-principles chemical potential calculations of liquidsQi-Jun Hong, Axel van de Walle
The Journal of Chemical Physics|September 14, 2013
Solid-liquid coexistence in small systems: A statistical method to calculate melting temperaturesQi-Jun Hong, Axel van de Walle
Materials (Basel, Switzerland)|August 29, 2019
Carbides and Nitrides of Zirconium and HafniumSergey V Ushakov, Alexandra Navrotsky, Qi-Jun Hong, et al.
Proceedings of the National Academy of Sciences of the United States of America|August 31, 2022
Melting temperature prediction using a graph neural network model: From ancient minerals to new materialsQi-Jun Hong, Sergey V Ushakov, Axel van de Walle, et al.
Materials (Basel, Switzerland)|February 25, 2023
Thorium and Rare Earth Monoxides and Related PhasesSergey V Ushakov, Qi-Jun Hong, Dustin A Gilbert, et al.
Proceedings of the National Academy of Sciences of the United States of America|May 8, 2025
Ab initio stability predictions for rare earth oxyphosphates and experimental confirmation of cerium (III) phasesEdric X Wang, Sergey V Ushakov, Ligen Wang, et al.
Scientific Reports|October 10, 2018
Combined computational and experimental investigation of high temperature thermodynamics and structure of cubic ZrO<sub>2</sub> and HfO<sub>2</sub>Qi-Jun Hong, Sergey V Ushakov, Denys Kapush, et al.
Proceedings of the National Academy of Sciences of the United States of America|April 29, 2026
Ab initio molecular dynamics prediction and experimental validation of the 14:4 rare-earth oxide-phosphate structureQi-Jun Hong, Sergey V Ushakov, Ligen Wang, et al.
Proceedings of the National Academy of Sciences of the United States of America|April 8, 2022
Evaluation of individual and ensemble probabilistic forecasts of COVID-19 mortality in the United StatesEstee Y Cramer, Evan L Ray, Velma K Lopez, et al.
Pageof 1

Showing results (1-10 of 10) with videos related to

Sort By:
Pageof 1
Materials (Basel, Switzerland)|September 14, 2024
Materials Properties Prediction (MAPP): Empowering the Prediction of Material Properties Solely Based on Chemical FormulasSi-Da Xue, Qi-Jun Hong
The Journal of Chemical Physics|September 11, 2012
Direct first-principles chemical potential calculations of liquidsQi-Jun Hong, Axel van de Walle
The Journal of Chemical Physics|September 14, 2013
Solid-liquid coexistence in small systems: A statistical method to calculate melting temperaturesQi-Jun Hong, Axel van de Walle
Materials (Basel, Switzerland)|August 29, 2019
Carbides and Nitrides of Zirconium and HafniumSergey V Ushakov, Alexandra Navrotsky, Qi-Jun Hong, et al.
Proceedings of the National Academy of Sciences of the United States of America|August 31, 2022
Melting temperature prediction using a graph neural network model: From ancient minerals to new materialsQi-Jun Hong, Sergey V Ushakov, Axel van de Walle, et al.
Materials (Basel, Switzerland)|February 25, 2023
Thorium and Rare Earth Monoxides and Related PhasesSergey V Ushakov, Qi-Jun Hong, Dustin A Gilbert, et al.
Proceedings of the National Academy of Sciences of the United States of America|May 8, 2025
Ab initio stability predictions for rare earth oxyphosphates and experimental confirmation of cerium (III) phasesEdric X Wang, Sergey V Ushakov, Ligen Wang, et al.
Scientific Reports|October 10, 2018
Combined computational and experimental investigation of high temperature thermodynamics and structure of cubic ZrO<sub>2</sub> and HfO<sub>2</sub>Qi-Jun Hong, Sergey V Ushakov, Denys Kapush, et al.
Proceedings of the National Academy of Sciences of the United States of America|April 29, 2026
Ab initio molecular dynamics prediction and experimental validation of the 14:4 rare-earth oxide-phosphate structureQi-Jun Hong, Sergey V Ushakov, Ligen Wang, et al.
Proceedings of the National Academy of Sciences of the United States of America|April 8, 2022
Evaluation of individual and ensemble probabilistic forecasts of COVID-19 mortality in the United StatesEstee Y Cramer, Evan L Ray, Velma K Lopez, et al.
Pageof 1