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Direct determination of amorphous number density from the reduced pair distribution function
Georgios S E Antipas1, Konstantinos T Karalis2
1Molecular Modelling Laboratory, Park Innovaare, 5234 Villigen PSI, Switzerland.
A new method infers amorphous bulk density using the reduced Pair Distribution Function (PDF) from diffraction data. This technique is crucial for materials like pharmaceuticals and melts where traditional methods fail.
Area of Science:
- Materials Science
- Nanotechnology
- Physical Chemistry
Background:
- Accurate amorphous bulk density determination is challenging for industrial materials like melts, porous solids, and non-soluble organic pharmaceuticals.
- Traditional methods like the Archimedean principle and gas pycnometry have limitations for these materials.
- Gas pycnometry often yields skeletal density, overestimating true density due to blind pores.
Purpose of the Study:
- To present a novel method for inferring amorphous bulk density from diffraction experiments.
- To extend the capability of Pair Distribution Function (PDF) analysis beyond crystalline density estimation.
- To provide a viable alternative for density determination when conventional techniques are inapplicable.
Main Methods:
- Extracting the reduced Pair Distribution Function (PDF) profile via Fourier transformation of diffraction intensity data.
- Identifying a local minimum within the PDF profile, specifically between r_min = 2π/Q_max and the first coordination peak.
- Calculating amorphous density using the ratio of the reduced PDF value at the minimum to 4πr, where r is the real-space coordinate of the minimum.
Main Results:
- Amorphous density can be reliably inferred from the position of a specific local minimum in the reduced PDF profile.
- The method is applicable to materials where traditional density measurement techniques are not feasible.
- The PDF minimum's location is bounded by theoretical limits related to the scattering vector (Q_max).
Conclusions:
- The developed method offers a new pathway for accurate amorphous density determination in challenging materials.
- This technique enhances the utility of diffraction experiments in materials characterization.
- It holds significant implications for nanotechnology and life sciences applications requiring precise material property data.
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