Research output per year
Research output per year
Project Details
Project Description
The facets of a metal nanocrystal comprise just a few atoms. These atoms are pivotal to its growth and properties.
This project aims to develop methods to measure the location and stability of these atoms to understand the
factors controlling their assembly and to understand their impact on the properties of the nanocrystal. The atomic
structure and corresponding optical excitations will be correlated with unprecedented spatial and energy
resolution. Combining these powerful advances, this project aims to relate nanofacet chemistry, structure, stability
and optical excitations to deliver a profound understanding of optical properties and their control.
This project aims to develop methods to measure the location and stability of these atoms to understand the
factors controlling their assembly and to understand their impact on the properties of the nanocrystal. The atomic
structure and corresponding optical excitations will be correlated with unprecedented spatial and energy
resolution. Combining these powerful advances, this project aims to relate nanofacet chemistry, structure, stability
and optical excitations to deliver a profound understanding of optical properties and their control.
| Status | Finished |
|---|---|
| Effective start/end date | 1/01/16 → 1/08/22 |
Funding
- Australian Research Council (ARC): A$443,870.00
- Monash University
- McMaster University
- Australian Research Council (ARC): A$141,230.00
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Complementary ADF-STEM: a flexible approach to quantitative 4D-STEM
Esser, B. D. & Etheridge, J., Jan 2023, In: Ultramicroscopy. 243, 10 p., 113627.Research output: Contribution to journal › Article › Research › peer-review
2 Citations (Scopus) -
Copper assisted symmetry and size control of gold nanobars
Li, W., Tong, W., Etheridge, J. & Funston, A. M., 19 Apr 2023, In: Journal of Materials Chemistry C. 11, 17, p. 5770-5778 9 p.Research output: Contribution to journal › Article › Research › peer-review
Open AccessFile1 Citation (Scopus) -
Machine learning in scanning transmission electron microscopy
Kalinin, S. V., Ophus, C., Voyles, P. M., Erni, R., Kepaptsoglou, D., Grillo, V., Lupini, A. R., Oxley, M. P., Schwenker, E., Chan, M. K. Y., Etheridge, J., Li, X., Han, G. G. D., Ziatdinov, M., Shibata, N. & Pennycook, S. J., 2022, In: Nature Reviews Methods Primers. 2, 1, 28 p., 11.Research output: Contribution to journal › Review Article › Research › peer-review
58 Citations (Scopus)
Equipment
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Centre for Electron Microscopy (MCEM)
Flame Sorrell (Manager) & Peter Miller (Manager)
Office of the Vice-Provost (Research and Research Infrastructure)Facility/equipment: Facility