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Jiuyang Shi

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

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Nature Computational Science|February 27, 2025
Efficient crystal structure prediction based on the symmetry principleYu Han, Chi Ding, Junjie Wang, et al.
The Journal of Chemical Physics|March 16, 2026
Phase diagram and global structure search of bismuth using machine learning potentialZiyang Yang, Yijie Zhu, Jiuyang Shi, et al.
Physical Review Letters|February 4, 2022
Superionic Silica-Water and Silica-Hydrogen Compounds in the Deep Interiors of Uranus and NeptuneHao Gao, Cong Liu, Jiuyang Shi, et al.
Nature Communications|September 1, 2024
E(n)-Equivariant cartesian tensor message passing interatomic potentialJunjie Wang, Yong Wang, Haoting Zhang, et al.
Physical Review Letters|October 20, 2023
Double-Shock Compression Pathways from Diamond to BC8 CarbonJiuyang Shi, Zhixing Liang, Junjie Wang, et al.
Physical Review Letters|February 5, 2021
Mixed Coordination Silica at Megabar PressureCong Liu, Jiuyang Shi, Hao Gao, et al.
Nature Communications|July 2, 2025
Machine Learning simulations reveal oxygen's phase diagram and thermal properties at conditions relevant to white dwarfsYunlong Wang, Jiuyang Shi, Zhixin Liang, et al.
Nature|March 4, 2026
Bulk hexagonal diamondShoulong Lai, Xigui Yang, Jiuyang Shi, et al.
Science Advances|April 25, 2025
Nanosecond structural evolution in shocked coesiteXiaokang Feng, Shuning Pan, Kento Katagiri, et al.
Nature Communications|November 25, 2024
General-purpose machine-learned potential for 16 elemental metals and their alloysKeke Song, Rui Zhao, Jiahui Liu, et al.
Pageof 1

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

Sort By:
Pageof 1
Nature Computational Science|February 27, 2025
Efficient crystal structure prediction based on the symmetry principleYu Han, Chi Ding, Junjie Wang, et al.
The Journal of Chemical Physics|March 16, 2026
Phase diagram and global structure search of bismuth using machine learning potentialZiyang Yang, Yijie Zhu, Jiuyang Shi, et al.
Physical Review Letters|February 4, 2022
Superionic Silica-Water and Silica-Hydrogen Compounds in the Deep Interiors of Uranus and NeptuneHao Gao, Cong Liu, Jiuyang Shi, et al.
Nature Communications|September 1, 2024
E(n)-Equivariant cartesian tensor message passing interatomic potentialJunjie Wang, Yong Wang, Haoting Zhang, et al.
Physical Review Letters|October 20, 2023
Double-Shock Compression Pathways from Diamond to BC8 CarbonJiuyang Shi, Zhixing Liang, Junjie Wang, et al.
Physical Review Letters|February 5, 2021
Mixed Coordination Silica at Megabar PressureCong Liu, Jiuyang Shi, Hao Gao, et al.
Nature Communications|July 2, 2025
Machine Learning simulations reveal oxygen's phase diagram and thermal properties at conditions relevant to white dwarfsYunlong Wang, Jiuyang Shi, Zhixin Liang, et al.
Nature|March 4, 2026
Bulk hexagonal diamondShoulong Lai, Xigui Yang, Jiuyang Shi, et al.
Science Advances|April 25, 2025
Nanosecond structural evolution in shocked coesiteXiaokang Feng, Shuning Pan, Kento Katagiri, et al.
Nature Communications|November 25, 2024
General-purpose machine-learned potential for 16 elemental metals and their alloysKeke Song, Rui Zhao, Jiahui Liu, et al.
Pageof 1