Zobrazeno 1 - 10
of 96
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:
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:
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:
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
Autor:
Licheng Huang, Ruiqi Yao, Xueqing Wang, Shuo Sun, Xingxing Zhu, Xinghui Liu, Min Gyu Kim, Jianshe Lian, Fuzhu Liu, Yingqi Li, Hongxiang Zong, Shuang Han, Xiangdong Ding
Publikováno v:
Energy & Environmental Science. 15:2425-2434
We report a brand-new, low-cost phosphated Zn-doped bimetallic (Fe/Mn) skeleton (Zn-Fe/Mn@Mn-FeP, FMZP4) with genuine potential as a highly effective water-splitting electrocatalyst.