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Methods of Ex Situ and In Situ Investigations of Structural Transformations: The Case of Crystallization of Metallic Glasses
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Predicting spinel solid solutions using a random atom substitution method.

Robert C Dickson1, Troy D Manning1, Edwin S Raj2

  • 1Department of Chemistry, University of Liverpool, Crown Street, L69 7ZD Liverpool, UK. msd30@liverpool.ac.uk.

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Summary
This summary is machine-generated.

This study introduces a new crystal structure prediction method that explores various chemical compositions. It extends the ChemDASH code to efficiently predict variable compositions in spinel structures.

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Area of Science:

  • Materials Science
  • Computational Chemistry
  • Crystallography

Background:

  • Crystal structure prediction is crucial for discovering new materials.
  • Exploring chemical composition and structural configurations presents a significant challenge.
  • Existing methods often focus on fixed compositions, limiting discovery.

Purpose of the Study:

  • To develop an enhanced crystal structure prediction method capable of exploring variable compositions.
  • To extend the ChemDASH code for variable composition exploration.
  • To apply the method to the Mn-Fe-Zn-O spinel phase field.

Main Methods:

  • Utilized an extension of the ChemDASH code.
  • Implemented a basin-hopping crystal structure prediction approach.
  • Focused on exploring the chemical composition and structural configuration space.

Main Results:

  • Demonstrated the efficiency of ChemDASH for fixed-composition spinel structures.
  • Successfully incorporated variable composition exploration into ChemDASH.
  • Presented the first basin-hopping method for variable composition crystal structure prediction.

Conclusions:

  • The enhanced ChemDASH code efficiently explores variable compositions in crystal structure prediction.
  • This advancement enables broader exploration of material phase spaces.
  • The method is particularly effective for complex systems like the Mn-Fe-Zn-O spinel field.