activity
20232025
most citedPrediction of high-Tc superconductivity under submegabar pressure in ternary actinium borohydrides

15 citations · 20 across the 6 of their papers we have counts for

collaborators

6 papers

cond-mat.supr-con20253 cited

Discovery of High-Temperature Superconducting Ternary Hydrides via Deep Learning

Xiaoyang Wang, Chengqian Zhang, Zhenyu Wang +5

The discovery of novel high-temperature superconductor materials holds transformative potential for a wide array of technological applications. However, the combinatorially vast ch…

cond-mat.mtrl-sci2025

Observation of molecular and polymeric nitrogen stuffed NaCl ionic layers

Ping Ning, Yifan Tian, Guangtao Liu +5

Sodium chloride (NaCl), a ubiquitous and chemically stable compound, has been considered inert under ambient conditions. Its typical B1 structure is highly isotropic without prefer…

cond-mat.supr-con202415 cited

Prediction of high-Tc superconductivity under submegabar pressure in ternary actinium borohydrides

Tingting Gu, Wenwen Cui, Jian Hao +4

Ternary hydrides are considered as the ideal candidates with high critical temperature (Tc) stabilized at submegabar pressure, evidenced by the recent discoveries in LaBeH8 (110 K…

cs.CY2023

The Communication GSC System with Energy Harvesting Nodes aided by Opportunistic Routing

Hanyu Liu, Lei Teng, Wannian An +3

In this paper, a cooperative communication network based on energy-harvesting (EH) decode-and-forward (DF) relays is proposed. For relay nodes, there is harvest-storage-use (HSU) s…

cond-mat.supr-con20232 cited

Prediction of fully metallic σ-bonded boron framework induced high superconductivity above 100 K in thermodynamically stable Sr2B5 at 40 GPa

Xin Yang, Wenbo Zhao, Liang Ma +5

Metal borides have been considered as potential high-temperature superconductors since the discovery of record-holding 39 K superconductivity in bulk MgB2. In this work, we identif…

cond-mat.mtrl-sci2023

Computational prediction of ideal strength for a material

Zixun Wang, Xingyu Wang, Xianqi Song +3

The ideal strength is crucial for predicting material behavior under extreme conditions, which can provide insights into material limits, guide design and engineer for enhanced per…