Description
Since the discovery of graphene, 2D materials have captured the minds of scientists because of their attractive and unique electronic properties. In particular, magnetic 2D materials have become a subject of extensive discussions today. Using density functional theory calculations, it is shown that 2D SiN sheet (built out of nonmetallic main group atoms) is a ferromagnetic semiconducting material with a magnetic moment 1 μB per unit cell and an indirect bandgap of 1.55 eV. Calculated phonon spectrum and conducted ab initio molecular dynamics simulation reveal thermal and dynamical stability of the designed material. It is shown that the ferromagnetic state is stable up to 20 K. Magnetism of silicon mononitride can be described by the presence of an unpaired electron located on silicon atoms. The semiconducting and ferromagnetic properties of SiN monolayer open many opportunities for its potential use in spintronic and nanoelectronic devices.
Author ORCID Identifier
Alexander I. Boldyrev https://orcid.org/0000-0002-8277-3669
Nikolay Tkachenko https://orcid.org/0000-0002-7296-4293
OCLC
1259518075
Document Type
Dataset
DCMI Type
Dataset
File Format
.zip, .txt, .tif, .pdf
Viewing Instructions
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Publication Date
6-16-2021
Funder
NSF, Division of Chemistry (CHE)
Publisher
Utah State University
Award Number
NSF, Division of Chemistry (CHE) 1664379
Award Title
Deciphering Delocalized Bonding in Excited States, Solvated Species and Novel 0-, 1-, 2-, and 3-Dimensional Chemical Systems
Methodology
See the README.txt file.
Referenced by
Tkachenko, N. V., Song, B., Steglenko, D., Minyaev, R. M., Yang, L.-M., & Boldyrev, A. I. (2020). Computational Prediction of the Low‐Temperature Ferromagnetic Semiconducting 2D SiN Monolayer. Physica Status Solidi (b), 257(3), 1900619. https://doi.org/10.1002/pssb.201900619
Language
eng
Code Lists
N/A
Disciplines
Chemistry
License
This work is licensed under a Creative Commons Attribution 4.0 License.
Identifier
https://doi.org/10.26078/6ezx-5646
Recommended Citation
Boldyrev, A. I., & Tkachenko, N. (2021). Data from: Computational Prediction of the Low-Temperature Ferromagnetic Semiconducting 2D SiN Monolayer. Utah State University. https://doi.org/10.26078/6EZX-5646
Checksum
9a59d7c67d555bf4c4d3ccde0a055d77
Additional Files
README.txt (2 kB)MD5: 20937a246cf54f2aaabb686243c8d53d
AFM_FM.zip (15907 kB)
MD5: f88fff6be640366fb2bcca5693f117b4
Bands.zip (48 kB)
MD5: c0d4cb1d3700cdbad5fb2cdc2cb9f90f
Bonding.zip (317 kB)
MD5: e9e4d30c8a1ced69fa164ac7297a03f6
Supporting_Information.pdf (644 kB)
MD5: 51cc4b54c9051db513163aaba2db982c