Link to the University of Pittsburgh Homepage
Link to the University Library System Homepage Link to the Contact Us Form

Ubiquitous non-Majorana zero-bias conductance peaks in nanowire devices

Chen, J and Woods, BD and Yu, P and Hocevar, M and Car, D and Plissard, SR and Bakkers, EPAM and Stanescu, TD and Frolov, SM (2019) Ubiquitous non-Majorana zero-bias conductance peaks in nanowire devices. Physical Review Letters, 123 (10). ISSN 0031-9007

Available under License : See the attached license file.

Download (800kB) | Preview
[img] Plain Text (licence)
Available under License : See the attached license file.

Download (1kB)


We perform tunneling measurements on indium antimonide nanowire-superconductor hybrid devices fabricated for the studies of Majorana bound states. At finite magnetic field, resonances that strongly resemble Majorana bound states, including zero-bias pinning, become common to the point of ubiquity. Since Majorana bound states are predicted in only a limited parameter range in nanowire devices, we seek an alternative explanation for the observed zero-bias peaks. With the help of a self-consistent Poission-Schrödinger multiband model developed in parallel, we identify several families of trivial subgap states that overlap and interact, giving rise to a crowded spectrum near zero energy and zero-bias conductance peaks in experiments. These findings advance the search for Majorana bound states through improved understanding of broader phenomena found in superconductor-semiconductor systems.


Social Networking:
Share |


Item Type: Article
Status: Published
CreatorsEmailPitt UsernameORCID
Chen, JJUC48@pitt.eduJUC480000-0001-8914-4323
Woods, BD
Yu, P
Hocevar, M
Car, D
Plissard, SR
Bakkers, EPAM
Stanescu, TD
Frolov, SM
Date: 6 September 2019
Date Type: Publication
Journal or Publication Title: Physical Review Letters
Volume: 123
Number: 10
DOI or Unique Handle: 10.1103/physrevlett.123.107703
Schools and Programs: Swanson School of Engineering > Electrical and Computer Engineering
Refereed: Yes
ISSN: 0031-9007
Date Deposited: 19 Jun 2020 13:11
Last Modified: 01 Apr 2021 02:55


Monthly Views for the past 3 years

Plum Analytics

Actions (login required)

View Item View Item