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Evolutionary Algorithm-Based Crystal Structure Prediction for Copper(I) Fluoride.

Mikhail S Kuklin1, Lorenzo Maschio2, Denis Usvyat3

  • 1Department of Chemistry and Materials Science, Aalto University, 00076, Aalto, Finland.

Chemistry (Weinheim an Der Bergstrasse, Germany)
|July 11, 2019
PubMed
Summary

Researchers predict new copper(I) fluoride structures using advanced computational methods. The study reveals 39 novel, stable configurations, including a promising semiconductor material with potential applications.

Keywords:
copperdensity functional calculationsfluoridessemiconductorsstructure elucidation

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Area of Science:

  • Solid-state chemistry
  • Computational materials science
  • Crystallography

Background:

  • The binary copper(I) fluoride (CuF) has remained experimentally elusive despite extensive research since 1824.
  • Understanding the stable phases of CuF is crucial for exploring its potential material properties.

Purpose of the Study:

  • To predict stable crystal structures of copper(I) fluoride using computational methods.
  • To identify novel low-energy structures beyond previously reported models.
  • To characterize the electronic properties of predicted CuF phases.

Main Methods:

  • Crystal structure prediction utilizing the USPEX evolutionary algorithm.
  • Electronic structure calculations employing dispersion-corrected hybrid density functional theory.
  • Energetic evaluation and validation using local second-order Møller-Plesset perturbation theory.

Main Results:

  • Investigation of approximately 5000 hypothetical CuF structures.
  • Identification of 39 new hypothetical structures with lower energy than the previously known cinnabar-type structure.
  • Observation of cuprophilic Cu-Cu interactions leading to ordered substructures (helical, zig-zag).
  • Discovery of a lowest-energy trigonal structure (space group P31 21).

Conclusions:

  • The predicted lowest-energy CuF structure is a semiconductor with an indirect band gap of 2.3 eV.
  • Novel CuF structures with unique copper substructures have been computationally identified.
  • This work provides a theoretical foundation for future experimental synthesis and characterization of copper(I) fluoride.