34 citations · 39 across the 4 of their papers we have counts for
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cond-mat.supr-con2023
Deciphering alloy composition in superconducting single-layer FeSe1-xSx on SrTiO3(001) substrates by machine learning of STM/S data
Qiang Zou, Basu Dev Oli, Huimin Zhang +3
Scanning tunneling microscopy (STM) is a powerful technique for imaging atomic structure and inferring information on local elemental composition, chemical bonding, and electronic…
cond-mat.supr-con2020★ 4 cited
Evolution of superconductivity and antiferromagnetic order in Ba(FeCoV)As
Jieming Sheng, Xingguang Li, Congkuan Tian +13
The vanadium doping effects on superconductivity and magnetism of iron pnictides are investigated in Ba(FeCoV)As by transport, susceptibility and ne…
cond-mat.supr-con2019★ 1 cited
The effect of non-superconducting dopants (Mn, V, Cr and Cu) on the nematic fluctuations in iron-based superconductors
Yanhong Gu, Yuan Wei, Dongliang Gong +14
We have systematically studied the nematic susceptibility in non-superconducting Ba(FeTM)As (TM = Cr, Mn, V and Cu) by measuring the uniaxial pressure depende…