Multivariate analysis of disorder in metal-organic frameworks

Area of Science:

• Materials Science
• Chemistry
• Crystallography

Background:

• Designing functional materials with controlled disorder is challenging due to difficulties in characterizing and quantifying structural disorder.
• Understanding the relationship between crystalline, disordered, and amorphous states is crucial for materials development.

Purpose of the Study:

• To develop and demonstrate a robust method for fingerprinting and quantifying structural disorder in materials.
• To investigate the kinetics and mechanisms of structural collapse in metal-organic frameworks (MOFs).
• To showcase the general applicability of the methodology across different disordered systems.

Main Methods:

• Utilized multivariate analysis of pair distribution functions (PDFs).
• Applied the method to a series of compositionally identical metal-organic frameworks with varying structural states (crystalline, disordered, amorphous).
• Extended the methodology to study the melting of a zeolitic imidazolate framework.

Main Results:

• Successfully fingerprinted and quantified structural disorder in metal-organic frameworks.
• Gained significant insights into the kinetics and mechanisms governing structural collapse.
• Demonstrated the broad applicability of the PDF analysis technique to diverse disordered systems, including framework melting.

Conclusions:

• Multivariate PDF analysis is a powerful tool for characterizing and quantifying structural disorder.
• The developed methodology provides critical insights into structure-property relationships in disordered materials.
• This approach holds significant potential for the rational design of novel functional materials across various chemical domains.