Machine learning accelerated discovery of superconducting two-dimensional Janus transition metal sulfhydrates-Reference-Cited by-同舟云学术

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Machine learning accelerated discovery of superconducting two-dimensional Janus transition metal sulfhydrates

Published:2024-05-10 Issue:17 Volume:109 Page:
ISSN:2469-9950
Container-title:Physical Review B
language:en
Short-container-title:Phys. Rev. B

Author:

Li Jingyu¹²^ORCID,Wei Liuming³²,Shi Xianbiao¹²,Shi Lanting⁴,Si Jianguo⁴^ORCID,Liu Peng-Fei¹²^ORCID,Wang Bao-Tian¹²

Affiliation:

1. Institute of High Energy Physics, Chinese Academy of Sciences, Beijing 100049, China

2. Spallation Neutron Source Science Center, Dongguan 523803, China

3. Department of Network Security, Henan Police College, Zhengzhou 450046, China

4. Songshan Lake Materials Laboratory, Dongguan, Guangdong 523808, China

Funder

National Natural Science Foundation of China

Basic and Applied Basic Research Foundation of Guangdong Province

Publisher

American Physical Society (APS)

Link

http://harvest.aps.org/v2/journals/articles/10.1103/PhysRevB.109.174516/fulltext

Reference54 articles.

1. Conventional superconductivity at 203 kelvin at high pressures in the sulfur hydride system

2. Evidence for a new phase of dense hydrogen above 325 gigapascals

3. Synchrotron infrared spectroscopic evidence of the probable transition to metal hydrogen

4. Superconductivity at 250 K in lanthanum hydride under high pressures

5. Synthesis of superconducting hcp- ZrH3 under high hydrogen pressure

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Prediction of charge density wave, superconductivity and topology properties in two-dimensional Janus 2H/1T-WXH (X = S, Se);Materials Today Physics;2024-08

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