Project overview
X-ray diffraction is the main technique by which scientists and engineers study the structures of crystalline materials, however some sample types are often neglected due to the requirement for specialised instrumentation and expertise. This proposal provides advanced equipment to apply diffraction and related methods to a series of lesser-studied sample types of great importance in technology and in understanding environmental processes. These include thin layers of material on surfaces, where information about atomic separations, particle sizes, crystal orientation and changes in the size of the lattice due to interactions with the underlying material can be obtained. This will be critical to the understanding of a range of functional materials with applications in energy conversion and storage, electronics, optoelectronics and engineering. It will also be possible to study very small regions of a material, this is important in examination of single components or regions of a sample where variations are important in understanding properties. Sample types include minerals, where the structure of individual grains will contribute to knowledge of interactions with the environment, and single components of grids of material designed to have specific interactions with light.
Staff
Lead researchers
Collaborating research institutes, centres and groups
Research outputs
Christian Bengs, Mohamed Sabba & Malcolm H. Levitt,
2023, The Journal of Chemical Physics, 158(12)
DOI: 10.1063/5.0138146
Type: article
Weiwei Zhang, Martin Ebert, Ke Li, Bigeng Chen, Xingzhao Yan, Han Du, Mehdi Banakar, Dehn Tran, Callum Littlejohns, Adam Scofield , Guomin Yu, Roshanak Shafiiha, Aaron Zilkie, Graham T. Reed & David Thomson,
2023, Nature Photonics, 17(3), 273–279
Type: article
Ayoub Hassan Jaafar Hamdiyah, Li Shao, Peng Dai, Tongjun Zhang, Yisong Han, Richard Beanland, Neil Kemp, Philip N. Bartlett, Andrew L. Hector & Ruomeng Huang,
2022, Nanoscale, 14(46), 17170-17181
DOI: 10.1039/d2nr05012a
Type: article
Tauqir Nasir, Li Shao, Yisong Han, Richard Beanland, Philip N. Bartlett & Andrew L. Hector,
2022, Nanoscale Advances, 4(22), 4798-4808
DOI: 10.1039/D2NA00512C
Type: article
Arian Hashemi Talkhooncheh, Weiwei Zhang, Minwo Wang, David Thomson, Martin Ebert, Ke Li, Graham Reed & Azita Ememi,
2022, IEEE Journal of Solid State Circuits, 58(1)
Type: article
David E. Korenchan, Jiaqi Lu, Mohamed Sabba, Laurynas Dagys, Lynda J. Brown, Malcolm H. Levitt & Alexej Jerschow,
2022, Physical Chemistry Chemical Physics, 24(39), 24239-24246
DOI: 10.1039/d2cp03801c
Type: article
Sally Bloodworth & Richard J. Whitby,
2022, Communications Chemistry, 5(1)
Type: review