A Ligand Field Molecular Mechanics Study of CO2-Induced Breathing in the Metal–Organic Framework DUT-8(Ni)

Patrick Melix, Francesco Paesani, Thomas Heine

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1 Citation (Scopus)

Abstract

Flexible metal–organic Frameworks (MOFs) are an interesting class of materials due to their diverse properties. One representative of this class is the layered-pillar MOF DUT-8(Ni). This MOF consists of Ni2 paddle wheels interconnected by naphthalene dicarboxylate linkers and dabco pillars (Ni2(ndc)2(dabco), ndc = 2,6-naphthalene–dicarboxylate, dabco = 1,4-diazabicyclo-[2.2.2]-octane). DUT-8(Ni) undergoes a volume change of over 140% upon adsorption of guest molecules. Herein, a ligand field molecular mechanics (LFMM) study of the CO2-induced flexibility of DUT-8(Ni) is presented. LFMM is able to reproduce experimental and DFT structural features as well as properties that require large simulation cells. It is shown that the transformation energy from a closed to open state of the MOF is overcompensated fivefold by the host–guest interactions. Structural characteristics of the MOF explain the shape of the energy profile at different loading states and provide useful insights to the interpretation of previous experimental results.

Original languageEnglish
Article number1900098
JournalAdvanced Theory and Simulations
Volume2
Issue number11
DOIs
Publication statusPublished - 2019 Nov 1

Bibliographical note

Funding Information:
This project was funded by Deutsche Forschungsgemeinschaft through FOR2433. F P. acknowledges financial support from the National Science Foundation through Grant No. CHE?1704063. The authors thank ZIH Dresden for providing extensive computational resources. Special thanks to C. Huy Pham for his help using the DL_POLY software and LFMM. The authors also want to acknowledge the support of our collaborators and colleagues in the groups of T.H. and S. Kaskel (TU Dresden) and F.P. (UC San Diego).

Funding Information:
This project was funded by Deutsche Forschungsgemeinschaft through FOR2433. F P. acknowledges financial support from the National Science Foundation through Grant No. CHE 1704063. The authors thank ZIH Dresden for providing extensive computational resources. Special thanks to C. Huy Pham for his help using the DL_POLY software and LFMM. The authors also want to acknowledge the support of our collaborators and colleagues in the groups of T.H. and S. Kaskel (TU Dresden) and F.P. (UC San Diego).

All Science Journal Classification (ASJC) codes

  • General
  • Modelling and Simulation
  • Numerical Analysis
  • Statistics and Probability

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