This is a page describing data taken during an experiment at the ISIS Neutron and Muon Source. Information about the ISIS Neutron and Muon Source can be found at https://www.isis.stfc.ac.uk.
Vibrational Spectroscopy Studies of Porous Materials for High Capacity Ammonia Storage
Abstract: The development of new porous metal-organic frameworks (MOFs) is receiving considerable attention worldwide owing to their potential for gas storage, separation, and purification. We seek to develop highly robust ammonia storage systems for portable applications and request 5 days on TOSCA to study the binding interaction between adsorbed ammonia molecules (NH3) and a robust porous MOF material [NOTT-300(Al)] as a function of NH3 loading. This proposed study will investigate the vibrational properties exhibited by both adsorbed gas substrates and the porous hosts. NOTT-300-Al exhibit high storage capacity for ammonia at ambient conditions (10.2 mmol/g) and more importantly fully reversible uptake, suggesting the presence of specific guest-host interaction. The proposed study aims to reveal the nature of the ammonia uptakes by analysing their vibrational/rotational spectra.
Principal Investigator: Professor Sihai Yang
Experimenter: Mr Pete Rought
Experimenter: Dr Svemir Rudic
Experimenter: Mr Harry Godfrey
Experimenter: Professor Martin Schroder
Experimenter: Professor Bill David
Experimenter: Professor Stewart Parker
DOI: 10.5286/ISIS.E.RB1610157
ISIS Experiment Number: RB1610157
Part DOI | Instrument | Public release date | Download Link |
---|---|---|---|
10.5286/ISIS.E.73943917 | TOSCA | 22 February 2019 | Download |
Publisher: STFC ISIS Neutron and Muon Source
Data format: RAW/Nexus
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Data Citation
The recommended format for citing this dataset in a research
publication is as:
[author], [date], [title], [publisher],
[doi]
For Example:
Professor Sihai Yang et al; (2016): Vibrational Spectroscopy Studies of Porous Materials for High Capacity Ammonia Storage, STFC ISIS Neutron and Muon Source, https://doi.org/10.5286/ISIS.E.RB1610157
Data is released under the CC-BY-4.0 license.