.png){kind=icon}
Return
Integrated Computational and Experimental Structure Refinement for Nanoparticles
.png){kind=icon}
PRE
AI
DOI：10.1021/acsnano.5b05722.png)
.png){kind=icon}
Original request for help.png){kind=icon}
Share.png){kind=icon}
Save
Abstract
En 中文
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.
Keywords:
structure optimization
genetic algorithm
scanning transmission electron microscopy
nanoparticles
nanoclusters
AI Summary
Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.
Journal
IF:
16
Papers:
2.7W
Citations:
25.6W
Organization
Cited Papers
Why is the partial oxygen pressure of human tissues a crucial parameter? Small molecules and hypoxia
OAAI
OAAIShareSavePicometre-precision analysis of scanning transmission electron microscopy images of platinum nanocatalysts.png)
NATURE COMMUNICATIONSOAAI
NATURE COMMUNICATIONSIF15.7
OAAIShareSave
High-angle scattering of fast electrons from crystals containing heavy elements: Simulation and experimentPHYSICAL REVIEW B
PHYSICAL REVIEW BIF3.7
PREAI
ShareSaveShareSaveShareSave
View more