Computationally Driven Two-Dimensional Materials Design: What is Next?

Jie Pan, Stephan Lany, Yue Qi

Research output: Contribution to journalArticlepeer-review

40 Scopus Citations

Abstract

Two-dimensional (2D) materials offer many key advantages to innovative applications, such as spintronics and quantum information processing. Theoretical computations have accelerated 2D materials design. In this issue of ACS Nano, Kumar et al. report that ferromagnetism can be achieved in functionalized nitride MXene based on first-principles calculations. Their computational results shed light on a potentially vast group of materials for the realization of 2D magnets. In this Perspective, we briefly summarize the promising properties of 2D materials and the role theory has played in predicting these properties. In addition, we discuss challenges and opportunities to boost the power of computation for the prediction of the "structure-property-process (synthesizability)" relationship of 2D materials.

Original languageAmerican English
Pages (from-to)7560-7564
Number of pages5
JournalACS Nano
Volume11
Issue number8
DOIs
StatePublished - 2017

Bibliographical note

Publisher Copyright:
© 2017 American Chemical Society.

NREL Publication Number

  • NREL/JA-5K00-68880

Keywords

  • 2D materials
  • computation
  • ferromagnetism

Fingerprint

Dive into the research topics of 'Computationally Driven Two-Dimensional Materials Design: What is Next?'. Together they form a unique fingerprint.

Cite this