Quantum crystallographic charge density of urea.
1Computer, Computational, and Statistical Sciences Division, Los Alamos National Laboratory , Mail Stop B256, Los Alamos, New Mexico 87545, USA.
Iucrj
|July 21, 2016
Summary
Quantum crystallography accurately models crystalline charge density, improving upon free-atom models. This advanced method enhances X-ray crystallography by providing more detailed molecular information and precise atomic displacement parameters.
Area of Science:
- Crystallography
- Quantum Chemistry
- Materials Science
Background:
- Standard X-ray crystallography uses free-atom models, which inaccurately represent shared electron density in real molecules.
- Accurate charge density modeling is crucial for understanding molecular interactions and properties in crystalline solids.
Purpose of the Study:
- To develop and validate a quantum crystallographic charge density model for crystalline urea.
- To compare the accuracy and information content of the quantum model against traditional spherical atom and multipole models.
- To assess the impact of the quantum model on atomic displacement parameter refinement.
Main Methods:
- High-level quantum theory calculations were used to generate a periodic charge density model for crystalline urea.
- The quantum model was refined against ultra-high-resolution experimental X-ray diffraction data.
- Comparison with spherical atom and multipole refinement models was performed.
Main Results:
- The quantum crystallographic model achieved agreement with experimental data comparable to the multipole model, using a similar number of free parameters.
- The static charge density from the quantum model revealed distinct features compared to the multipole model, offering new insights.
- Hydrogen atomic displacement parameters from the quantum model closely matched those from neutron crystallography.
Conclusions:
- Quantum crystallography offers a feasible and beneficial approach for integrating quantum chemical calculations into X-ray crystallographic refinement.
- This method provides a more accurate representation of charge density and improves the determination of atomic displacement parameters.
- Quantum crystallography holds potential for advancing the understanding of molecular structures and properties in crystalline materials.
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