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Performance of GFN1-xTB for periodic optimization of metal organic frameworks

Maryam Nurhuda, Carole C. Perry, Matthew A. Addicoat

2022Physical Chemistry Chemical Physics32 citationsDOIOpen Access PDF

Abstract

We benchmark GFB-xTB for periodic geometry optimisations of CoRE-MOF structures and find both local and global geometry well conserved.

Topics & Concepts

Tight bindingDensity functional theoryParameterized complexityMaterials scienceMetalComputational chemistryMetal-organic frameworkComputationChemical physicsChemistryAdsorptionMolecular physicsElectronic structureComputer scienceAlgorithmPhysical chemistryMetallurgyMetal-Organic Frameworks: Synthesis and ApplicationsMachine Learning in Materials ScienceCrystallography and molecular interactions
Performance of GFN1-xTB for periodic optimization of metal organic frameworks | Litcius