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Related Concept Videos

Magnetic Fields01:27

Magnetic Fields

6.9K
A moving charge or a current creates a magnetic field in the surrounding space, in addition to its electric field. The magnetic field exerts a force on any other moving charge or current that is present in the field. Like an electric field, the magnetic field is also a vector field. At any position, the direction of the magnetic field is defined as the direction in which the north pole of a compass needle points.
A magnetic field is defined by the force that a charged particle experiences...
6.9K
Diamagnetism01:26

Diamagnetism

2.8K
Materials consisting of paired electrons have zero net magnetic moments. However, when these materials are placed under an external magnetic field, the moments opposite to the field are induced. Such materials are called diamagnets. Diamagnetism is the response of the diamagnets when placed in an external magnetic field.
Diamagnetism was discovered by Anton Brugmans in 1778 when he observed that bismuth gets repelled by magnetic fields, thus theorizing that diamagnets get repelled by magnets....
2.8K
Two-Dimensional (2D) NMR: Overview01:12

Two-Dimensional (2D) NMR: Overview

1.2K
The 1D NMR spectrum of large and complex molecules like natural products has complicated splitting patterns and overlapping signals, which can be easily interpreted using 2-dimensional (2D) NMR. Unlike 1D NMR, 2D NMR has two frequency axes that provide the coupling information between the nucleus A and nucleus B in a molecule. The process from which 2D spectra are obtained has four steps.
The first step is the preparation period, during which nucleus A is excited with a radiofrequency pulse....
1.2K
Paramagnetism01:30

Paramagnetism

2.9K
Paramagnets are materials with unpaired electrons that possess a finite magnetic moment. In the absence of a magnetic field, these moments are randomly oriented, and thus the net moment is zero. Under an external field, a torque acting on the moments tends to align them along the field's direction. However, the random thermal motion of electrons produces a torque opposite to the external field and tries to disorient the moments. These two competing effects align only a few moments along the...
2.9K
Magnetic Susceptibility and Permeability01:31

Magnetic Susceptibility and Permeability

2.0K
In linear magnetic materials, like paramagnets and diamagnets, magnetization is proportional to the magnetic field intensity. The constant of proportionality, a dimensionless number, is called magnetic susceptibility. The value of the susceptibility depends on the type of material.
When diamagnetic materials are placed under an external magnetic field, the moments opposite to the field are induced. Hence, the susceptibility for diamagnets has a minimal negative value of 10-5–10-6. Since...
2.0K
Ferromagnetism01:31

Ferromagnetism

2.8K
Materials like iron, nickel, and cobalt consist of magnetic domains, within which the magnetic dipoles are arranged parallel to each other. The magnetic dipoles are rigidly aligned in the same direction within a domain by quantum mechanical coupling among the atoms. This coupling is so strong that even thermal agitation at room temperature cannot break it. The result is that each domain has a net dipole moment. However, some materials have weaker coupling, and are ferromagnetic at lower...
2.8K

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Optimizing Magnetic Force Microscopy Resolution and Sensitivity to Visualize Nanoscale Magnetic Domains
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Optimizing Magnetic Force Microscopy Resolution and Sensitivity to Visualize Nanoscale Magnetic Domains

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Data-driven studies of magnetic two-dimensional materials.

Trevor David Rhone1, Wei Chen2, Shaan Desai2

  • 1Department of Physics, Harvard University, Cambridge, MA, 02138, USA. trr715@g.harvard.edu.

Scientific Reports
|September 26, 2020
PubMed
Summary
This summary is machine-generated.

We used data analysis and density functional theory to explore magnetic and thermodynamic properties of 2D van der Waals materials. Machine learning efficiently predicts magnetic order and stability, aiding discovery.

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Area of Science:

  • Materials Science
  • Condensed Matter Physics
  • Computational Chemistry

Background:

  • Van der Waals (vdW) layered materials offer unique electronic and magnetic properties.
  • Predicting magnetic and thermodynamic characteristics of these 2D materials is crucial for technological applications.
  • Existing methods for material property prediction can be computationally intensive.

Purpose of the Study:

  • To investigate the magnetic and thermodynamic properties of novel 2D van der Waals layered materials.
  • To develop a computationally efficient approach for predicting material properties.
  • To understand the microscopic origins of magnetic ordering in these systems.

Main Methods:

  • Density Functional Theory (DFT) calculations were employed to model material structures and properties.
  • Machine learning algorithms were utilized for data analysis and property prediction.
  • Formation energies were calculated to assess chemical stability.

Main Results:

  • The study successfully predicted magnetic order and magnetic moments for investigated monolayers.
  • Machine learning combined with DFT provided an efficient pathway for property prediction.
  • The X site was identified as a key factor influencing magnetic coupling and ordering.

Conclusions:

  • A data-driven approach using DFT and machine learning accelerates the discovery of 2D magnetic materials.
  • This methodology offers insights into the fundamental mechanisms of magnetic ordering.
  • The findings pave the way for identifying new chemically stable vdW materials with desired magnetic behaviors.