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Integrated Computational and Experimental Structure Refinement for Nanoparticles
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DOI：10.1021/acsnano.5b05722.png)
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摘要
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Determining the three-dimensional (3D) atomic structure of nanoparticles is critical to identifying the structures controlling their properties. Here, we demonstrate an integrated genetic algorithm (GA) optimization tool that refines the 3D structure of a nanoparticle by matching forward modeling to experimental scanning transmission electron microscopy (STEM) data and simultaneously minimizing the particle energy. We use the tool to create a refined 3D structural model of an experimentally observed 6000 atom Au nanoparticle.
Keyword:
structure optimization
genetic algorithm
scanning transmission electron microscopy
nanoparticles
nanoclusters
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期刊
IF:
16
论文数:
2.6W
被引数:
25.6W
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