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Computational methods for 2D materials: discovery, property characterization, and application design.

J T Paul1, A K Singh2,3, Z Dong4

  • 1Department of Materials Science and Engineering, University of Florida, Gainesville, Fl 32611, United States of America.

Journal of Physics. Condensed Matter : an Institute of Physics Journal
|October 13, 2017
PubMed
Summary

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This summary is machine-generated.

Computational methods are advancing the discovery and design of two-dimensional (2D) materials. This review covers computational techniques for predicting properties, understanding interactions, and simulating devices for novel 2D materials.

Area of Science:

  • Materials Science
  • Computational Physics
  • Condensed Matter Theory

Background:

  • Two-dimensional (2D) materials are a rapidly growing field with significant potential for technological applications.
  • Computational methods have become mature, enabling prediction, characterization, and design of novel 2D materials.
  • Existing cyber infrastructures support large-scale computational research in materials science.

Purpose of the Study:

  • To review recent progress in computational approaches for 2D materials research.
  • To provide an overview of computational techniques and ongoing research in the field.
  • To highlight future needs and challenges in computational 2D materials science.

Main Methods:

  • Overview of known 2D materials and common computational methodologies.

Related Experiment Videos

  • Application of computational techniques for predicting material stability and structure.
  • Characterization of electronic, optical, magnetic, and superconducting properties using computational simulations.
  • Simulation of material responses to mechanical strain, electrical fields, and defect interactions.
  • Methods for 2D materials device simulations.

    • Main Results:

    • Computational methods are crucial for discovering novel 2D materials and predicting their properties.
    • Understanding material stability, interactions with environments, and defect properties is key.
    • Characterization of electronic, optical, magnetic, and superconducting properties is feasible computationally.
    • Simulations reveal how properties respond to external stimuli like strain and electric fields.
    • Device simulations aid in designing functional 2D materials.

    Conclusions:

    • Computational approaches are indispensable for accelerating the discovery and application of 2D materials.
    • Further development of computational methods is needed to address complex phenomena and design advanced devices.
    • Interdisciplinary collaboration and advanced cyber infrastructure are vital for future breakthroughs in computational 2D materials research.