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From Molecules to Materials: Engineering New Ionic Liquid Crystals Through Halogen Bonding
Published on: March 24, 2018
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Description of halogen bonding in semiempirical quantum-mechanical and self-consistent charge density-functional
1Institute of Organic Chemistry and Biochemistry, Czech Academy of Sciences, 166 10, Prague, Czech Republic.
Journal of Computational Chemistry
|April 4, 2019
Summary
Semiempirical quantum-mechanical methods (PM6, PM7) and SCC-DFTB (DFTB3) can describe halogen bonds, but underestimate repulsion. Modifying DFTB3 d-orbital energies improves results, though simultaneous halogen and hydrogen bond description remains challenging.
Area of Science:
- Computational chemistry
- Quantum chemistry
- Molecular modeling
Background:
- Halogen bonds are crucial non-covalent interactions.
- Accurate computational methods are needed to model these interactions.
- Semiempirical and DFTB methods offer computational efficiency.
Purpose of the Study:
- To evaluate PM6, PM7, and DFTB3 for describing halogen bonds.
- To investigate the accurate calculation of electrostatic potentials and interaction energies.
- To propose a new correction method for DFTB3 to improve halogen bond descriptions.
Main Methods:
- Semiempirical quantum-mechanical methods (PM6, PM7).
- Self-consistent charge density-functional tight-binding (SCC-DFTB) method (DFTB3).
- Calculation of electrostatic potential and interaction energies.
- Modification of d-orbital energies in DFTB3.
Main Results:
- PM6 and PM7 methods adequately describe the σ-hole for halogen bonds.
- DFTB3 captures geometric aspects but underestimates repulsion.
- A modified DFTB3 approach with adjusted d-orbital energies improves interaction energy calculations.
- Simultaneous accurate description of halogen and hydrogen bonds remains difficult.
Conclusions:
- Semiempirical and DFTB methods show promise for modeling halogen bonds.
- DFTB3 requires parameterization adjustments for accurate interaction energy prediction.
- Further development is needed for methods to accurately model both halogen and hydrogen bonds concurrently.
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