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Related Concept Videos

Two-Dimensional (2D) NMR: Overview01:12

Two-Dimensional (2D) NMR: Overview

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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....
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Network Covalent Solids02:18

Network Covalent Solids

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Network covalent solids contain a three-dimensional network of covalently bonded atoms as found in the crystal structures of nonmetals like diamond, graphite, silicon, and some covalent compounds, such as silicon dioxide (sand) and silicon carbide (carborundum, the abrasive on sandpaper). Many minerals have networks of covalent bonds.
To break or to melt a covalent network solid, covalent bonds must be broken. Because covalent bonds are relatively strong, covalent network solids are typically...
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Related Experiment Video

Updated: Jul 29, 2025

A Standard and Reliable Method to Fabricate Two-Dimensional Nanoelectronics
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Recent Advances in 2D Material Theory, Synthesis, Properties, and Applications.

Yu-Chuan Lin1,2, Riccardo Torsi1, Rehan Younas3

  • 1Department of Materials Science and Engineering, The Pennsylvania State University, University Park, Pennsylvania 16802, United States.

ACS Nano
|May 23, 2023
PubMed
Summary
This summary is machine-generated.

This review covers recent advances in two-dimensional (2D) materials, including theory, synthesis, characterization, and quantum physics. It highlights machine learning applications and novel device architectures for next-generation electronics.

Keywords:
2D MaterialsBiosensingDopingEpitaxial GrowthMachine LearningMagnetic and Topological PropertiesMoiré EngineeringMultidimensional HeterostructuresStrain EngineeringTheory

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Area of Science:

  • Materials Science
  • Condensed Matter Physics
  • Nanotechnology

Background:

  • Two-dimensional (2D) materials research is rapidly expanding, necessitating a comprehensive overview of emergent systems.
  • Advances span theoretical modeling, synthesis techniques, material characterization, device applications, and quantum phenomena.

Purpose of the Study:

  • To review recent progress in the field of 2D materials and their heterostructures.
  • To provide insights into defect modeling, machine learning applications, and novel synthesis/characterization methods.
  • To discuss advancements in device physics, quantum transport, and future research directions.

Main Methods:

  • Theoretical modeling of defects and intercalants.
  • Machine learning for synthesis and sensing.
  • Advanced synthesis, processing, and characterization techniques for diverse 2D materials.
  • Analysis of optical and phonon properties, multidimensional imaging, and biosensing.

Main Results:

  • Insights into defect formation pathways and functionalities.
  • Demonstration of machine learning for 2D material synthesis and sensing.
  • Progress in synthesizing and characterizing various 2D materials (MXenes, magnetic compounds, etc.).
  • Exploration of oxidation and strain gradient engineering.
  • Understanding of optical/phonon properties influenced by inhomogeneity.
  • Development of 2D platforms for imaging and biosensing.
  • Advances in mix-dimensional heterostructures for logic/memory devices.
  • Progress in quantum anomalous Hall devices and topological insulators.
  • Exploration of quantum transport in small twist-angle homojunctions.

Conclusions:

  • The field of 2D materials is rapidly evolving with significant theoretical and experimental advancements.
  • Machine learning and novel device architectures are key drivers for future applications.
  • Continued research into synthesis, characterization, and quantum phenomena will unlock new possibilities for 2D materials.