High Néel temperature and magnetism modulation in 2D pentagon-based XN<sub>2</sub> (X = B, Al, and Ga) structures with spin-polarized non-metallic atoms

Magnetic semiconductors with spin-polarized non-metallic atoms are usually overlooked in applications because of their poor performances in magnetic moments and under critical temperatures. Herein, magnetic characteristics of 2D pentagon-based XN<sub>2</sub> (X = B, Al, and Ga) are revealed based on first-principles calculations. It was proven that XN<sub>2</sub> structures are antiferromagnetic semiconductors with bandgaps of 2.15 eV, 2.42 eV and 2.16 eV for X = B, Al, and Ga, respectively. Through analysis of spin density distributions and molecular orbitals, the magnetic origin was found to be located at the antibonding orbitals (π*2p<sub><i>x</i></sub> and π*2p<sub><i>z</i></sub>) of covalently bonded N atoms. Furthermore, it was demonstrated that XN<sub>2</sub> semiconductors exhibit Néel temperatures (<i>T</i><sub>N</sub>) of as high as 136 K, 266 K and 477 K, as found through Monte Carlo (MC) simulations of the Ising model. More significantly, the phase transition of the magnetic ground state from antiferromagnetic order to ferromagnetic order, continuous distribution of bandgaps from 2.0 eV to 2.5 eV, and enhancement of magnetic moment from 0.3<i>μ</i><sub>B</sub> to 1.2<i>μ</i><sub>B</sub> could be realized by exerting external fields. Our work proposes a novel spin-polarized phenomenon based on covalent bonds, ameliorating the performances of magnetic semiconductors with spin-polarized p-orbit electrons and providing immense application potentials for XN<sub>2</sub> in spintronic devices.

Authors

Institutions

Publication Details

Journal
Physical Chemistry Chemical Physics
Published
2024-12-31
DOI
https://doi.org/10.1039/d4cp04582c
Primary Topic
2D Materials and Applications
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

High Néel temperature and magnetism modulation in 2D pentagon-based XN2 (X = B, Al, and Ga) structures with spin-polarized non-metallic atoms

Hong Zhang, Zhenyu Wu
Physical Chemistry Chemical Physics
2D Materials and Applications
article

High Néel temperature and magnetism modulation in 2D pentagon-based XN2 (X = B, Al, and Ga) structures with spin-polarized non-metallic atoms

Hong Zhang, Zhenyu Wu
article en

Abstract

Magnetic semiconductors with spin-polarized non-metallic atoms are usually overlooked in applications because of their poor performances in magnetic moments and under critical temperatures. Herein, magnetic characteristics of 2D pentagon-based XN<sub>2</sub> (X = B, Al, and Ga) are revealed based on first-principles calculations. It was proven that XN<sub>2</sub> structures are antiferromagnetic semiconductors with bandgaps of 2.15 eV, 2.42 eV and 2.16 eV for X = B, Al, and Ga, respectively. Through analysis of spin density distributions and molecular orbitals, the magnetic origin was found to be located at the antibonding orbitals (π*2p<sub><i>x</i></sub> and π*2p<sub><i>z</i></sub>) of covalently bonded N atoms. Furthermore, it was demonstrated that XN<sub>2</sub> semiconductors exhibit Néel temperatures (<i>T</i><sub>N</sub>) of as high as 136 K, 266 K and 477 K, as found through Monte Carlo (MC) simulations of the Ising model. More significantly, the phase transition of the magnetic ground state from antiferromagnetic order to ferromagnetic order, continuous distribution of bandgaps from 2.0 eV to 2.5 eV, and enhancement of magnetic moment from 0.3<i>μ</i><sub>B</sub> to 1.2<i>μ</i><sub>B</sub> could be realized by exerting external fields. Our work proposes a novel spin-polarized phenomenon based on covalent bonds, ameliorating the performances of magnetic semiconductors with spin-polarized p-orbit electrons and providing immense application potentials for XN<sub>2</sub> in spintronic devices.

Physical Chemistry Chemical PhysicsVol. 27(6)
Sichuan University (CN)
National Key Research and Development Program of China
Openalex Percentile: Top 84%
2D Materials and Applications
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.