Identifying pathways to metal-organic framework collapse during solvent activation with molecular simulations

Joe Manning, Gaël Donval, Mat Tolladay, Tom Underwood, Steve Parker, Tina Düren

Research output: Contribution to journalArticlepeer-review

10 Citations (SciVal)

Abstract

Metal–organic framework (MOF) materials are a vast family of nanoporous solids with potential applications ranging from drug delivery to environmental remediation. Application of MOFs in these scenarios is hindered, however, by difficulties in MOF ‘activation’ after initial synthesis – removal of the synthesis solvent from the pores to make the pore space accessible – often leading to framework collapse if improperly performed. While experimental studies have correlated collapse to specific solvent properties and conditions, the mechanism of activation-collapse is currently unknown. Developing this understanding would enable researchers to create better activation protocols for MOFs, accelerating discovery and process intensification. To achieve this goal, we simulated solvent removal using grand-canonical Monte Carlo and free energy perturbation methods. By framing activation as a fluid desorption problem, we investigated activation processes in the isoreticular metal organic framework (IRMOF) family of MOFs for different solvents. We identified two pathways for solvent activation – the solvent either desorbs uniformly from each individual pore or forms coexisting phases during desorption. These mesophases in turn lead to large capillary stresses within the framework, corroborating experimental hypotheses for the cause of activation-collapse. Finally, we found that the activation energy of solvent removal increased with pore size and connectivity due to the increased stability of solvent mesophases, matching experimental findings. Using these simulations, it is possible to screen MOF activation procedures, enabling rapid identification of ideal solvents and conditions and thus enabling faster development of MOFs for practical applications.
Original languageEnglish
Pages (from-to)25929-25937
Number of pages9
JournalJournal of Materials Chemistry A
Volume11
Issue number47
Early online date9 Nov 2023
DOIs
Publication statusPublished - 21 Dec 2023

Bibliographical note

This project has received funding from the European Research Council (ERC) under the European Union's Horizon 2020 research and innovation programme (grant agreement no. 648283 “GROWMOF”), and the embedded CSE programme of the ARCHER2 UK National Supercomputing Service (http://www.archer2.ac.uk): project ARCHER2-eCSE01-19. This research made use of the Balena High Performance Computing (HPC) Service at the University of Bath, the UCL Myriad High Performance Computing Facility (Myriad@UCL), and the Computational Shared Facility at The University of Manchester.

Funding

This project has received funding from the European Research Council (ERC) under the European Union's Horizon 2020 research and innovation programme (grant agreement no. 648283 “GROWMOF”), and the embedded CSE programme of the ARCHER2 UK National Supercomputing Service ( http://www.archer2.ac.uk ): project ARCHER2-eCSE01-19. This research made use of the Balena High Performance Computing (HPC) Service at the University of Bath, the UCL Myriad High Performance Computing Facility (Myriad@UCL), and the Computational Shared Facility at The University of Manchester. This project has received funding from the European Research Council (ERC) under the European Union's Horizon 2020 research and innovation programme (grant agreement no. 648283 “GROWMOF”), and the embedded CSE programme of the ARCHER2 UK National Supercomputing Service (http://www.archer2.ac.uk): project ARCHER2-eCSE01-19. This research made use of the Balena High Performance Computing (HPC) Service at the University of Bath, the UCL Myriad High Performance Computing Facility (Myriad@UCL), and the Computational Shared Facility at The University of Manchester.

FundersFunder number
ARCHER2 UK National Supercomputing ServiceARCHER2-eCSE01-19
UCL Myriad High Performance Computing Facility
University of Manchester
European Research Council
University of Bath
Horizon 2020648283

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