AMICI: Amorphous Microstructure Imaging at Composite Interfaces in Metal-Organic Frameworks
Lead Research Organisation:
University of Leeds
Department Name: Chemical and Process Engineering
Abstract
Reducing emissions requires advances in separations (replace energy-intensive distillations), fuel cells (use robust, low-cost membranes), and high-efficiency lighting (encapsulate halide perovskites), all relying on efficient control of chemical transport. Metal-organic frameworks (MOFs), consisting of metal nodes linked by organic molecules in characteristically porous networks, are poised to accelerate energy savings if we can harness their structural and chemical selectivity. Yet device integration is challenging. Most often prepared as crystalline powders, fusing MOFs with polymers or glasses made from other MOFs creates device-compatible forms. In turn, interfacial interactions boost gas uptake, proton conductivity, and luminescence. However, the defining non-periodic structures remain unresolved. This project will unveil the microscopic structural variety in MOF composites by determining the atomic structure of amorphous components, distortions in crystals, and changes at interfaces.
My ambitious research programme will build a nanoscale version of the technique known as electron pair distribution function analysis for MOF/MOF, MOF/polymer, and MOF/perovskite composites using scanning transmission electron microscopy. Now uniting cryogenic, low-dose microscopy and precession electron optics, I will make direct microscopic observations to answer questions on how MOFs melt and form glasses, how guest molecules move through MOFs, and how molecules traverse MOF/polymer membranes. Together with dynamic and multi-scale microscopies, I will combine these tools to track water transport in a model fuel cell membrane. Only through developing nanometre-resolved imaging of amorphous microstructure (domain size, shape, composition, and atomic structure descriptors across interfaces) will it be possible to determine precise structure-function relationships and rationally design host-guest and matrix-filler interactions to realise the potential of MOF technologies.
My ambitious research programme will build a nanoscale version of the technique known as electron pair distribution function analysis for MOF/MOF, MOF/polymer, and MOF/perovskite composites using scanning transmission electron microscopy. Now uniting cryogenic, low-dose microscopy and precession electron optics, I will make direct microscopic observations to answer questions on how MOFs melt and form glasses, how guest molecules move through MOFs, and how molecules traverse MOF/polymer membranes. Together with dynamic and multi-scale microscopies, I will combine these tools to track water transport in a model fuel cell membrane. Only through developing nanometre-resolved imaging of amorphous microstructure (domain size, shape, composition, and atomic structure descriptors across interfaces) will it be possible to determine precise structure-function relationships and rationally design host-guest and matrix-filler interactions to realise the potential of MOF technologies.
Organisations
People |
ORCID iD |
| Sean Collins (Principal Investigator) |
Publications
Sun C
(2024)
Modulating proton conductivity through crystal structure tuning in arenedisulfonate coordination polymers
in Journal of Materials Chemistry A
Related Projects
| Project Reference | Relationship | Related To | Start | End | Award Value |
|---|---|---|---|---|---|
| EP/Y024583/1 | 01/12/2023 | 30/08/2025 | £1,716,234 | ||
| EP/Y024583/2 | Transfer | EP/Y024583/1 | 31/08/2025 | 30/11/2028 | £1,123,096 |
| Title | In-situ TOF-SIMS, SEM, and XRD data for Borate Coating on Steel |
| Description | This dataset contains extracted time-of-flight secondary mass spectroscopy (TOF-SIMS) acquired at a series of temperature on borate coating on steel samples. The dataset also contains associated complementary data. such as X-ray difrraction at different temperatures, scanning electron diffraction images at different temperatures, and TOF-SIMS control experiments at individual temperatures and a different beam energy. The data is extracted and presented in HDF5 file format, consistent with the hyperspy Python package, an open-source package coded in Python. |
| Type Of Material | Database/Collection of data |
| Year Produced | 2024 |
| Provided To Others? | Yes |
| Impact | The dataset was released in coordination with a publication in Nano Letters. The dataset has been used in conference presentations and supports training in the research group. |
| URL | https://archive.researchdata.leeds.ac.uk/1258/ |
| Title | Materials characterisation data on proton conducting arenedisulfonate coordination polymers |
| Description | This dataset contains original characterizations of scanning electron microscopy (SEM), X-ray energy-dispersive spectroscopy (EDS), cryogenic-SEM (cryo-SEM), X-ray diffraction (XRD), Fourier transform infrared spectroscopy (FTIR), X-ray photoelectron spectroscopy (XPS), elemental analysis (CHNS), light microscopy, scanning electron diffraction (SED), thermogravimetric analysis (TGA) and differential thermogravimetry (DTG), and electrochemical impedance spectroscopy (EIS) tests on coordination polymers (CPs) and CPs based membranes presented in the linked publication. |
| Type Of Material | Database/Collection of data |
| Year Produced | 2024 |
| Provided To Others? | Yes |
| Impact | This dataset has been released in coordination with a publication in the Journal of Materials Chemistry A. The dataset has been used for internal researcher training in the research group. |
| URL | https://archive.researchdata.leeds.ac.uk/1301/ |