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Experimentally Validated Ab Initio Crystal Structure Prediction of Novel Metal–Organic Framework Materials

Yizhi Xu, Joseph M. Marrett, Hatem M. Titi, James P. Darby, Andrew J. Morris, Tomislav Friščić, Mihails Arhangelskis

2023Journal of the American Chemical Society44 citationsDOIOpen Access PDF

Abstract

First-principles crystal structure prediction (CSP) is the most powerful approach for materials discovery, enabling the prediction and evaluation of properties of new solid phases based only on a diagram of their underlying components. Here, we present the first CSP-based discovery of metal-organic frameworks (MOFs), offering a broader alternative to conventional techniques, which rely on geometry, intuition, and experimental screening. Phase landscapes were calculated for three systems involving flexible Cu(II) nodes, which could adopt a potentially limitless number of network topologies and are not amenable to conventional MOF design. The CSP procedure was validated experimentally through the synthesis of materials whose structures perfectly matched those found among the lowest-energy calculated structures and whose relevant properties, such as combustion energies, could immediately be evaluated from CSP-derived structures.

Topics & Concepts

Crystal structure predictionChemistryPhase diagramIntuitionAb initioNetwork topologyCrystal structureMetal-organic frameworkCombustionTopology (electrical circuits)Statistical physicsPhase (matter)CrystallographyComputer sciencePhysical chemistryOrganic chemistryPhysicsAdsorptionEpistemologyCombinatoricsPhilosophyOperating systemMathematicsMetal-Organic Frameworks: Synthesis and ApplicationsMachine Learning in Materials ScienceX-ray Diffraction in Crystallography
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