activity
20072023
most citedCALYPSO: a method for crystal structure prediction

2.9k citations · 12k across the 53 of their papers we have counts for

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Showing 2021Show all

5 papers · 1 filter

cond-mat.mtrl-sci2021★ 140 cited

A Symmetry-orientated Divide-and-Conquer Method for Crystal Structure Prediction

Xuecheng Shao, Jian Lv, Peng Liu +5

Crystal structure prediction has been a subject of topical interest, but remains a substantial challenge, especially for complex structures as it deals with the global minimization…

cond-mat.mtrl-sci2021

Superconductivity in Shear Strained Semiconductors

Chang Liu, Xianqi Song, Quan Li +2

Semiconductivity and superconductivity are remarkable quantum phenomena that have immense impact on science and technology, and materials that can be tuned, usually by pressure or…

cond-mat.supr-con2021★ 223 cited

Towards high-throughput superconductor discovery via machine learning

Stephen R. Xie, Y. Quan, Ajinkya Hire +5

Even though superconductivity has been studied intensively for more than a century, the vast majority of superconductivity research today is carried out in nearly the same manner a…

cond-mat.supr-con2021★ 55 cited

Pressure-induced high-temperature superconductivity retained at ambient

Liangzi Deng, Trevor Bontke, Rabin Dahal +11

To raise the superconducting-transition temperature (Tc) has been the driving force for the long, sustained effort in superconductivity research. Recent progress in hydrides with T…

cond-mat.supr-con2021★ 12 cited

High-Tc superconductivity in clathrate calcium hydride CaH6

Liang Ma, Kui Wang, Yu Xie +9

Recent discovery of superconductive rare earth/actinide superhydrides has ushered in a new era of superconductivity research at high pressures. This distinct type of clathrate meta…