2020
DOI: 10.3390/molecules25071552
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Improved Predictive Tools for Structural Properties of Metal–Organic Frameworks

Abstract: The accurate determination of structural parameters is necessary to understand the electronic and magnetic properties of metal–organic frameworks (MOFs) and is a first step toward accurate calculations of electronic structure and function for separations and catalysis. Theoretical structural determination of metal-organic frameworks is particularly challenging because they involve ionic, covalent, and noncovalent interactions, which must be treated in a balanced fashion. Here, we apply a diverse group of local… Show more

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Cited by 8 publications
(2 citation statements)
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References 61 publications
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“…All calculations and geometry optimisation were carried out using CP2k software using periodic boundary conditions [57,58] . The TPSS exchange‐correlation functional along with DFT–D2 corrections were used for the calculations of binding energy as well as single point energy [59–61] . The basis set chosen for Mn, C, H, N, Cl was DZVP‐MOLOPT‐GTH, with a gaussian plane wave (GPW) approach.…”
Section: Computational Detailsmentioning
confidence: 99%
See 1 more Smart Citation
“…All calculations and geometry optimisation were carried out using CP2k software using periodic boundary conditions [57,58] . The TPSS exchange‐correlation functional along with DFT–D2 corrections were used for the calculations of binding energy as well as single point energy [59–61] . The basis set chosen for Mn, C, H, N, Cl was DZVP‐MOLOPT‐GTH, with a gaussian plane wave (GPW) approach.…”
Section: Computational Detailsmentioning
confidence: 99%
“…[57,58] The TPSS exchange-correlation functional along with DFT-D2 corrections were used for the calculations of binding energy as well as single point energy. [59][60][61] The basis set chosen for Mn, C, H, N, Cl was DZVP-MOLOPT-GTH, with a gaussian plane wave (GPW) approach. A kinetic energy cut-off of 400 Ry was applied for the calculations and BFGS optimisation routines.…”
Section: Computational Detailsmentioning
confidence: 99%