Projects per year
Personal profile
Research interests
My research aims to understand the physics of light propagation in optical fibres, with a particular emphasis on the properties of photonic crystal fibres (PCF). PCFs are novel optical fibres that have a structured array of air-holes running along their length, where the size of these air-holes is of the same order as the wavelength of light. My research involves the development of analytic and computational solutions of Maxwell’s equations, and the aim is to build a theoretical understanding of the underlying physics to design fibres with novel and useful properties. This research is carried out in close collaboration with experimentalists in the Centre for Photonics and Photonic Materials, who are world leaders in the fabrication and use of PCF.
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Collaborations and top research areas from the last five years
Projects
- 5 Finished
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Knowledge and Innovation Secondments and Training (KIST) - The University of Bath Proximity to Discovery: Industry Engagement Fund
Bird, D. (PI)
1/03/15 → 31/08/16
Project: Research council
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ALL-FIBRE UNIVERSAL OPTICAL WAVEFORM AND ATTOSECOND-PULSE SY THESISER
Benabid, A. (PI), Bird, D. (CoI) & Birks, T. (CoI)
Engineering and Physical Sciences Research Council
1/07/07 → 31/12/10
Project: Research council
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SURFACE REACTIVITY: BEYOND BORNOPPENHEIMER
Bird, D. (PI)
Engineering and Physical Sciences Research Council
1/11/06 → 30/04/09
Project: Research council
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NEXT GENERATION PHOTONIC CRYSTAL FIBRES
Knight, J. (PI), Bird, D. (CoI) & Birks, T. (CoI)
1/06/06 → 31/05/09
Project: EU Commission
Research output
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Azimuthal confinement: the missing ingredient in understanding confinement loss in antiresonant, hollow-core fibers
Murphy, L. R. & Bird, D., 20 Jul 2023, In: Optica. 10, 7, p. 854-870 17 p.Research output: Contribution to journal › Article › peer-review
Open Access13 Citations (SciVal) -
The stadium fibre: a novel anti-resonant hollow-core fibre
Murphy, L. R., Stone, J. M., Birks, T. A., Knight, J. C. & Bird, D., 4 Sept 2023, 2023 Conference on Lasers and Electro-Optics Europe and European Quantum Electronics Conference, CLEO/Europe-EQEC 2023. U. S. A.: IEEE, (2023 Conference on Lasers and Electro-Optics Europe and European Quantum Electronics Conference, CLEO/Europe-EQEC 2023).Research output: Chapter or section in a book/report/conference proceeding › Chapter in a published conference proceeding
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Confinement loss of anti-resonant capillaries with curved boundaries
Wang, W. & Bird, D., 2 Aug 2021, In: Optics Express. 29, 16, p. 25314-25326 13 p.Research output: Contribution to journal › Article › peer-review
Open Access3 Citations (SciVal) -
Attenuation limit of silica-based hollow-core fiber at mid-IR wavelengths
Yu, F., Song, P., Wu, D., Birks, T., Bird, D. & Knight, J., 12 Aug 2019, In: APL Photonics. 4, 8, 080803.Research output: Contribution to journal › Article › peer-review
Open Access73 Citations (SciVal) -
Quantitative analysis of anti-resonance in single-ring, hollow-core fibres
Song, P., Phoong, K. Y. & Bird, D., 30 Sept 2019, In: Optics Express. 27, 20, p. 27745-27760 16 p.Research output: Contribution to journal › Article › peer-review
Open Access21 Citations (SciVal)
Datasets
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Dataset for "Confinement loss of anti-resonant capillaries with curved boundaries"
Bird, D. (Creator) & Wang, W. (Creator), University of Bath, 26 Jul 2021
DOI: 10.15125/BATH-01014
Dataset
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Data for "Azimuthal confinement: the missing ingredient in understanding confinement loss in antiresonant, hollow-core fibres"
Murphy, L. (Creator) & Bird, D. (Creator), University of Bath, 30 Jun 2023
DOI: 10.15125/BATH-01279
Dataset
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Dataset for "Attenuation limit of silica-based hollow-core fiber at mid-IR wavelengths"
Knight, J. (Creator), Yu, F. (Creator), Bird, D. (Creator), Birks, T. (Creator), Song, P. (Creator) & Wu, D. (Creator), University of Bath, 2019
DOI: 10.15125/BATH-00671
Dataset
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Dataset for "Quantitative analysis of anti-resonance in single-ring, hollow-core fibres"
Bird, D. (Creator), Song, P. (Creator) & Phoong, K. Y. (Creator), University of Bath, 18 Sept 2019
DOI: 10.15125/BATH-00685
Dataset