There is a newer version of the record available.

Published January 30, 2024 | Version v1
Dataset Open

Searching for the thinnest metallic wire

  • 1. Theory and Simulation of Materials (THEOS), École Polytechnique Fédérale de Lausanne (EPFL), CH - 1015 Lasuanne, Vaud, Switzerland
  • 2. National Centre for Computational Design and Discovery of Novel Materials (MARVEL), École Polytechnique Fédérale de Lausanne (EPFL), CH - 1015 Lausanne, Vaud, Switzerland
  • 3. Università degli studi di Milano Bicocca, Piazza dell'Ateneo Nuovo 1, 20126 Milano, Italy
  • 4. Laboratory for Materials Simulations, Paul Scherrer Institut (PSI), 5232 Villigen, Switzerland

* Contact person

Description

One-dimensional materials have gained much attention in the last decades: from carbon nanotubes to ultrathin nanowires, to few-atom atomic chains, these can all display unique electronic properties and great potential for next-generation applications. Exfoliable bulk materials could naturally provide a source for one-dimensional wires with well defined structure and electronics. Here, we explore a database of one-dimensional materials that could be exfoliated from experimentally known three-dimensional Van-der-Waals compounds, searching metallic wires that are resilient to Peierls distortions and could act as vias or interconnects for future downscaled electronic devices. As the one-dimensional nature makes these wires particularly susceptible to dynamical instabilities, we carefully characterise vibrational properties to identify stable phases and characterize electronic and dynamical properties. Our search identifies several novel and stable wires; notably, we identify what could be the thinnest possible exfoliable metallic wire, CuC₂, coming a step closer to the ultimate limit in materials downscaling.

Files

File preview

files_description.md

All files

Files (20.8 MiB)

Name Size
md5:e808c73a4a0451ab8bea820b0818a838
231 Bytes Preview Download
md5:0eb6cc07ac37fb62194d3f007d6c639f
5.5 KiB Preview Download
md5:f81546839941f8e44957011563f6d7fe
20.8 MiB Preview Download

References

Preprint (Preprint of the paper where data are discussed and explained)
C. Cignarella, D. Campi, N. Marzari (2023), doi: 10.48550/arXiv.2312.16968