Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Lin Gu"'
Autor:
Ting Cui, Songhee Choi, Ting Lin, Chen Liu, Gang Wang, Ningning Wang, Shengru Chen, Haitao Hong, Dongke Rong, Qianying Wang, Qiao Jin, Jia-Ou Wang, Lin Gu, Chen Ge, Can Wang, Jin-Guang Cheng, Qinghua Zhang, Liang Si, Kui-juan Jin, Er-Jia Guo
Publikováno v:
Communications Materials, Vol 5, Iss 1, Pp 1-8 (2024)
Abstract Recent progress on the signatures of pressure-induced high-temperature superconductivity in Ruddlesden–Popper (RP) nickelates (La n+1Ni n O3n+1) has attracted growing interest in both theoretical calculations and experimental efforts. The
Externí odkaz:
https://doaj.org/article/5ec7400e17ec4555be47700bafe0977b
Autor:
Yueshan Xu, Junjie Wang, Bo Su, Jun Deng, Cao Peng, Chunlong Wu, Qinghua Zhang, Lin Gu, Jianlin Luo, Nan Xu, Jian-gang Guo, Zhi-Guo Chen
Publikováno v:
Communications Materials, Vol 4, Iss 1, Pp 1-10 (2023)
Abstract Excitons, which represent a type of quasi-particles consisting of electron-hole pairs bound by the mutual Coulomb interaction, are often observed in lowly-doped semiconductors or insulators. However, realizing excitons in semiconductors or i
Externí odkaz:
https://doaj.org/article/d6618040da05403682f729f420266d32
Autor:
Zhaoqing Ding, Xuejiao Chen, Zhenzhen Wang, Qinghua Zhang, Fang Yang, Jiachang Bi, Ting Lin, Zhen Wang, Xiaofeng Wu, Minghui Gu, Meng Meng, Yanwei Cao, Lin Gu, Jiandi Zhang, Zhicheng Zhong, Xiaoran Liu, Jiandong Guo
Publikováno v:
npj Quantum Materials, Vol 8, Iss 1, Pp 1-9 (2023)
Abstract The interplay among symmetry of lattices, electronic correlations, and Berry phase of the Bloch states in solids has led to fascinating quantum phases of matter. A prototypical system is the magnetic Weyl candidate SrRuO3, where designing an
Externí odkaz:
https://doaj.org/article/15202e9740d44359a57d6b8c24c017cc
Autor:
Zun Wang, Chong Wang, Sibo Zhao, Yong Xu, Shaogang Hao, Chang Yu Hsieh, Bing-Lin Gu, Wenhui Duan
Publikováno v:
npj Computational Materials, Vol 8, Iss 1, Pp 1-9 (2022)
Abstract With many frameworks based on message passing neural networks proposed to predict molecular and bulk properties, machine learning methods have tremendously shifted the paradigms of computational sciences underpinning physics, material scienc
Externí odkaz:
https://doaj.org/article/e4b5e383168d4a1d93f3ef95360dd95f