Experimental reconstructions of 3d atomic structures from electron microscopy images using a bayesian genetic algorithm

HIGHLIGHTS

• who: Annick De Backer from the (UNIVERSITY) have published the article: Experimental reconstructions of 3D atomic structures from electron microscopy images using a Bayesian genetic algorithm, in the Journal: (JOURNAL)
• what: The authors propose a Bayesian genetic algorithm that includes the finite atom-counting precision via a Bayesian inference scheme to improve the 3D atomic models for small nanostructures. The authors focus on the 3D characterization of small, single-crystal, mono-metallic catalyst nanoparticles. The authors propose here a diagonal neighbor-mass matrix. To the usual iterations over many breeding generations, in this work the . . .
  

   

  

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