Zobrazeno 1 - 10
of 68
pro vyhledávání: '"Hongxiang Zong"'
Autor:
Chengyang Yuan, Hongxiang Zong, Hongsheng Dong, Lei Yang, Yufei Gao, Zhen Fan, Lunxiang Zhang, Jiafei Zhao, Yongchen Song, John S. Tse
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-9 (2024)
Abstract Materials with low lattice thermal conductivity are essential for various heat-related applications like thermoelectrics, and usual approaches for achieving this rely on specific crystalline structures. Here, we report a strategy for thermal
Externí odkaz:
https://doaj.org/article/aec3bb6c77624e31a905f25ca2720e78
Publikováno v:
npj Computational Materials, Vol 10, Iss 1, Pp 1-10 (2024)
Abstract Recent advancements in machine learning (ML) have revolutionized the field of high-performance materials design. However, developing robust ML models to decipher intricate structure-property relationships in materials remains challenging, pr
Externí odkaz:
https://doaj.org/article/7e5ac7da475f4c06b22be6eca5e2e898
Publikováno v:
Frontiers in Materials, Vol 10 (2023)
The crystal orientation of ceramic substrates is an important factor affecting the interface structure of metal/ceramic composite materials. However, there is little information about the interface composed of metal films and ceramic substrates with
Externí odkaz:
https://doaj.org/article/8c983fb7f4244d1abbe1ef6b58e42db7
Autor:
Jie Yin, Hongxiang Zong, Hong Tao, Xuefei Tao, Haijun Wu, Yang Zhang, Li-Dong Zhao, Xiangdong Ding, Jun Sun, Jianguo Zhu, Jiagang Wu, Stephen J. Pennycook
Publikováno v:
Nature Communications, Vol 12, Iss 1, Pp 1-8 (2021)
Experimentally manipulating bubble domains remains elusive especially in the bulk form of ferroelectrics. Here, the authors achieve self-confined bubble domains with multiple polar topologies in bulk Bi0.5Na0.5TiO3 ferroelectrics, demonstrating rever
Externí odkaz:
https://doaj.org/article/5f43c579b942439f928d83fceb169cda
Publikováno v:
Nature Communications, Vol 11, Iss 1, Pp 1-9 (2020)
Hydrogen has multiple molecular phases which are challenging to explore computationally. The authors develop a machine-learning approach, learning from reference ab initio molecular dynamics simulations, to derive a transferable hierarchical force mo
Externí odkaz:
https://doaj.org/article/8847e5d5db8d47119e4a8c692d3ed252
Autor:
Jie Yin, Hongxiang Zong, Hong Tao, Xuefei Tao, Haijun Wu, Yang Zhang, Li-Dong Zhao, Xiangdong Ding, Jun Sun, Jianguo Zhu, Jiagang Wu, Stephen J. Pennycook
Publikováno v:
Nature Communications, Vol 12, Iss 1, Pp 1-1 (2021)
Externí odkaz:
https://doaj.org/article/9119681431aa4c15ae70a86815e0d660
Autor:
Huan He, Wenbo Liu, Pengbo Zhang, Wenlong Liao, Dayin Tong, Lin Yang, Chaohui He, Hang Zang, Hongxiang Zong
Publikováno v:
Materials, Vol 13, Iss 16, p 3627 (2020)
Understanding the properties of defects is crucial to design higher performance semiconductor materials because they influence the electronic and optical properties significantly. Using ab initio calculations, the dynamics properties of nitrogen inte
Externí odkaz:
https://doaj.org/article/10d2cfdacbbe42b0a4a79f4b49597ffb
Autor:
Shuo Sun, Yang Yang, Chenxu Han, Guixun Sun, Yan Chen, Hongxiang Zong, Jiangjiang Hu, Shuang Han, Xiaozhou Liao, Xiangdong Ding, Jianshe Lian
Publikováno v:
Journal of Materials Science & Technology. 127:98-107
Autor:
Chongyao Song, Fengyun Ding, Rongxin Ye, Jiangfeng Song, Hongxiang Zong, Xiaohong Chen, Linsen Zhou
Publikováno v:
International Journal of Hydrogen Energy.
Autor:
Hongxiang Zong, Li Heng, Jianshe Lian, Hao Wang, Peng Gao, Ranming Niu, Xiaozhou Liao, Sun Shuo, Shuang Han
Publikováno v:
Journal of Materials Science & Technology. 106:1-9
Grain refinement to the nanocrystalline regime is the most effective way to strengthen materials but this often deteriorates the grain-size thermal stability and plasticity. Here we manufactured a nanocrystalline face centred cubic CrCoNi medium entr