Component particle structure in heterogeneous disordered ensembles extracted from high-throughput fluctuation x-ray...

Area of Science:

• Materials Science
• Nanotechnology
• X-ray Scattering Physics

Background:

• Particle structure in disordered ensembles is often obscured by inter-particle interactions.
• Analyzing heterogeneous systems requires methods to deconvolute signals from individual components.
• X-ray diffraction provides rich structural information but is challenging for complex mixtures.

Purpose of the Study:

• To develop a method for retrieving single-particle autocorrelation functions from heterogeneous disordered ensembles.
• To demonstrate the capability of isolating individual nanoparticle structures within a mixture.
• To validate the approach using simulated heterogeneous systems.

Main Methods:

• Calculation of ring angular correlation functions from x-ray diffraction patterns.
• Averaging techniques to cancel cross-correlations and isolate single-particle autocorrelation functions.
• Application of the high throughput fluctuation x-ray scattering (HT-fXS) technique.

Main Results:

• Averaging ring angular correlation functions converges to single-particle autocorrelation functions.
• The retrieved function for heterogeneous systems is a linear combination of single-particle functions and molar ratios.
• Successful retrieval of individual particle autocorrelation functions from a simulated mixture of nanorods, nanoprisms, and nanorice.

Conclusions:

• The developed method effectively deconvolutes structural information from individual nanoparticles in heterogeneous systems.
• High throughput fluctuation x-ray scattering is a powerful technique for analyzing complex nanomaterial mixtures.
• This approach enables detailed characterization of individual components within disordered ensembles.