⭐ Article highlights: Interactive workflow for automated and reproducible SQS generation with ATAT

SimplySQS: An automated and reproducible workflow for special quasirandom structure generation with ATAT

Journal of Computational Science, 2026

Please see the full published article: https://doi.org/10.1016/j.jocs.2026.102846

Highlights:

  • Automated SQS workflow with ATAT
    Introduces SimplySQS, a reproducible workflow for generating special quasirandom structures using ATAT mcsqs.

  • Interactive browser-based interface
    Guides users through structure import, composition setup, supercell definition, and SQS search parameters.

  • Automatic input and script generation
    Creates ATAT input files and an all-in-one monitor.sh script for reproducible SQS searches.

  • Reduced manual errors
    Standardizes SQS setup, execution, and output analysis to improve reliability and accessibility.

  • Randomness-score assessment
    Uses Warren–Cowley (WC) parameters to judge whether random structures are sufficient or SQS optimization is needed.

  • Output analysis and format conversion
    Visualizes mcsqs convergence and converts optimized SQSs into POSCAR, CIF, LMP, and XYZ formats.

  • Demonstration on Pb1-xSrxTiO₃
    Generates 320-atom SQSs across the full composition range and relaxes them using MACE MATPES-r²SCAN.

  • Cubic-to-tetragonal transition
    Captures the experimental phase transition near x ≈ 0.5.

  • Mixing free-energy prediction
    Shows that configurational entropy stabilizes the mixed Pb₁₋ₓSrₓTiO₃ phase at 300 K.