New “gold-standard” classification of atomic structure

image of a flow diagram

CMI researchers from Lawrence Livermore National Laboratory conducted the research for this highlight.

Achievement
Identification of crystal phases in atomic structures with 100% accuracy.

Significance and impact

  • Identification of structures at high-temperature, e.g., during solidification, is prerequisite of all analysis and long-standing challenge. 
  • Traditional methods require in-depth physical domain knowledge; Existing machine-learning methods require lots of training labels.
  • New denoising method developed by LLNL team achieved perfect accuracy in ordered phases classification.

Details and next steps

  • Score-based probabilistic model
  • Simple (no data curation), generally applicable
  • Paper under review (Nat. Comm.) 
  • arxiv: 2212.02421
  • Algorithm is implemented in popular Avito software
  • Application: characterization of molecular dynamics simulation of alloys & magnets.