ArticleMolecules (Basel, Switzerland)2020
Design of Metal-Organic Framework Templated Materials Using High-Throughput Computational Screening.
Article in Molecules (Basel, Switzerland), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
What it found
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Who cites it
6 citing papers in PubMed.
- Tackling Orientational Isomerism in Metal-Organic Frameworks Comprising Low-Symmetry Linker Molecules via Simulated Annealing Featuring a Neural Network Potential.Journal of computational chemistry · 2026Article
- Covalent organic frameworks: spotlight on applications in the pharmaceutical arena.Bioanalysis · 2024Review
- Nanomaterials as Photocatalysts-Synthesis and Their Potential Applications.Materials (Basel, Switzerland) · 2022Review
- MOF Synthesis Prediction Enabled by Automatic Data Mining and Machine Learning.Angewandte Chemie (International ed. in English) · 2022Article
- Review
- Current Trends in Metal-Organic and Covalent Organic Framework Membrane Materials.Angewandte Chemie (International ed. in English) · 2021Review
Corrections and comments
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Authors and funding
5 authors.
Funding
Abstract
The ability to crosslink Metal-Organic Frameworks (MOFs) has recently been discovered as a flexible approach towards synthesizing MOF-templated "ideal network polymers". Crosslinking MOFs with rigid cross-linkers would allow the synthesis of crystalline Covalent-Organic Frameworks (COFs) of so far unprecedented flexibility in network topologies, far exceeding the conventional direct COF synthesis approach. However, to date only flexible cross-linkers were used in the MOF crosslinking approach, since a rigid cross-linker would require an ideal fit between the MOF structure and the cross-linker, which is experimentally extremely challenging, making in silico design mandatory. Here, we present an effective geometric method to find an ideal MOF cross-linker pair by employing a high-throughput screening approach. The algorithm considers distances, angles, and arbitrary rotations to optimally match the cross-linker inside the MOF structures. In a second, independent step, using Molecular Dynamics (MD) simulations we quantitatively confirmed all matches provided by the screening. Our approach thus provides a robust and powerful method to identify ideal MOF/Cross-linker combinations, which helped to identify several MOF-to-COF candidate structures by starting from suitable libraries. The algorithms presented here can be extended to other advanced network structures, such as mechanically interlocked materials or molecular weaving and knots.
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Registered trials
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