Research output per year
Research output per year
Personal profile
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
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Dive into the research topics where Bethan Charlton is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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CW stimulated emission in a self-assembled NaYF4:Yb3+, Tm3+ upconverting microresonator
McCormick, E., Eling, C., Urbano Alves, P., Downie, D., Charlton, B., Noman, I. & Laurand, N., 20 Dec 2024, 2024 IEEE Photonics Conference (IPC). IEEE, p. 1-2 2 p. (2024 IEEE Photonics Conference (IPC)).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution book
Open AccessFile -
Recycling self-assembled colloidal quantum dot supraparticle lasers
Downie, D. H., Eling, C. J., Charlton, B. K., Alves, P. U., Edwards, P. R. & Laurand, N., 25 Nov 2024, In: Optical Materials Express. 14, 12, p. 2982-2994 13 p.Research output: Contribution to journal › Article › peer-review
Open AccessFile
Datasets
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Data for: "Surface Functionalisation of Self-Assembled Quantum Dot Microlasers with a DNA Aptamer"
Charlton, B. (Creator), Downie, D. (Contributor), Noman, I. (Contributor), dos Santos Alves, P. (Contributor), Eling, C. (Contributor) & Laurand, N. (Contributor), University of Strathclyde, 21 Sept 2023
DOI: 10.15129/d8b31125-23cb-4325-b136-38073dd6a4a6, https://www.mdpi.com/journal/ijms
Dataset
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Data for "Recycling self-assembled colloidal quantum dot supraparticle lasers"
Downie, D. (Creator), Eling, C. (Contributor), Charlton, B. (Contributor), dos Santos Alves, P. (Contributor), Edwards, P. (Contributor) & Laurand, N. (Contributor), University of Strathclyde, 6 Nov 2024
DOI: 10.15129/5825535a-ab05-4678-8102-fe957bdf7943
Dataset