Structural Properties of Metal-Organic Frameworks at Elevated Thermal Conditions via a Combined Density Functional Tight Binding Molecular Dynamics (DFTB MD) Approach.
Felix R S PurtscherLeo ChristanellMoritz SchulteStefan SeiwaldMarkus RödlIsabell OberLeah K MaruschkaHassan KhoderHeidi A SchwartzEl-Eulmi BendeifThomas S HoferPublished in: The journal of physical chemistry. C, Nanomaterials and interfaces (2023)
The performance of different density functional tight binding (DFTB) methods for the description of six increasingly complex metal-organic framework (MOF) compounds have been assessed. In particular the self-consistent charge density functional tight binding (SCC DFTB) approach utilizing the 3ob and matsci parameter sets have been considered for a set of four Zn-based and two Al-based MOF systems. Moreover, the extended tight binding for geometries, frequencies, and noncovalent interactions (GFN2-xTB) approach has been considered as well. In addition to the application of energy minimizations of the respective unit cells, molecular dynamics (MD) simulations at constant temperature and pressure conditions (298.15 K, 1.013 bar) have been carried out to assess the performance of the different DFTB methods at nonzero thermal conditions. In order to obtain the XRD patterns from the MD simulations, a flexible workflow to obtain time-averaged XRD patterns from (in this study 5000) individual snapshots taken at regular intervals over the simulation trajectory has been applied. In addition, the comparison of pair-distribution functions (PDFs) directly accessible from the simulation data shows very good agreement with experimental reference data obtained via measurements employing synchrotron radiation in case of MOF-5. The comparison of the lattice constants and the associated X-ray diffraction (XRD) patterns with the experimental reference data demonstrate, that the SCC DFTB approach provides a highly efficient and accurate description of the target systems.
Keyphrases
- molecular dynamics
- metal organic framework
- blood brain barrier
- density functional theory
- highly efficient
- electronic health record
- big data
- dna binding
- binding protein
- induced apoptosis
- heavy metals
- magnetic resonance
- magnetic resonance imaging
- cell cycle arrest
- cell proliferation
- artificial intelligence
- mass spectrometry
- cell death