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Related Experiment Video

Updated: Feb 13, 2026

Development and Functionalization of Electrolyte-Gated Graphene Field-Effect Transistor for Biomarker Detection

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Published on: February 1, 2022

Switchable Polarization in Mn Embedded Graphene.

Mohammad Noor-A-Alam¹, Hamid Ullah¹, Young-Han Shin²

¹Multiscale Materials Modeling Laboratory, Department of Physics, University of Ulsan, Ulsan, 44610, Republic of Korea.

Scientific Reports

|March 16, 2018

Summary

This summary is machine-generated.

Introducing magnetism and polarity to graphene, this study shows manganese vacancies create switchable dipole moments. Strain engineering significantly lowers switching barriers, enabling potential spintronics and memory devices.

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Area of Science:

Materials Science
Condensed Matter Physics
Nanotechnology

Background:

Graphene lacks intrinsic polarity and magnetism due to its symmetrical structure.
Transition metals can functionalize 2D materials, altering their electronic properties.

Purpose of the Study:

To investigate the induction and switching of dipole moments in manganese-embedded graphene vacancies.
To explore the effect of biaxial tensile strain on dipole switching energy barriers.
To assess the magnetic properties of these functionalized graphene structures.

Main Methods:

Density functional theory (DFT) calculations were employed.
Simulations analyzed manganese embedded in single (Mn@SV) and double vacancy (Mn@DV) graphene.
Energy barriers for dipole switching were calculated and strain effects were modeled.

Main Results:

Mn@SV and Mn@DV exhibit perpendicular dipole moments switchable by Mn atom penetration.
Energy barriers for switching are 2.60 eV (Mn@SV) and 0.28 eV (Mn@DV).
10% biaxial tensile strain reduces the Mn@SV barrier to 0.16 eV.
Both structures possess a high magnetic moment of 3 μB.

Conclusions:

Manganese vacancies in graphene can induce switchable dipole moments, creating polar and magnetic 2D materials.
Strain engineering offers a viable method to tune dipole switching dynamics.
These functionalized graphene systems show promise for spintronics and nanoscale memory applications.