Project Details
| Acronym | H2020 ERC CoG 2018 Amphibian |
|---|---|
| Status | Finished |
| Effective start/end date | 1/02/19 → 31/01/24 |
Funding
- European Research Council: £1,639,609.68
Fingerprint
Explore the research topics touched on by this project. These labels are generated based on the underlying awards/grants. Together they form a unique fingerprint.
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Low-temperature fabrication of plasmonic titanium nitride thin films by electron beam evaporation
Das, A., Nanao, Y., Rajan, A., Di Falco, A. & Schulz, S. A., 30 Apr 2025, In: Journal of Physics: Photonics. 7, 2, 7 p., 025032.Research output: Contribution to journal › Article › peer-review
Open AccessFile -
OLED illuminated metasurfaces for holographic image projection
Gong, J., Biabanifard, M., Yoshida, K., Turnbull, G. A., Di Falco, A. & Samuel, I. D. W., 27 Aug 2025, In: Light: Science & Applications. 14, 9 p., 294.Research output: Contribution to journal › Article › peer-review
Open AccessFile -
Engineering waveguide nonlinear effective length via low index thin films
Jaffray, W., Ali, F., Stengel, S., Guo, Z., Schulz, S. A., Di Falco, A. & Ferrera, M., 27 Apr 2024, (E-pub ahead of print) In: Advanced Optical Materials. Early View, 8 p.Research output: Contribution to journal › Article › peer-review
Open AccessFile
Datasets
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Red-shifted excitation and two-photon pumping of biointegrated GaInP/AlGaInP quantum well microlasers (dataset)
Titze, V. M. (Creator), Caixeiro , S. (Creator), Di Falco, A. (Creator), Schubert, M. (Creator) & Gather, M. C. (Creator), University of St Andrews, 17 Feb 2022
DOI: 10.17630/f7fde0bc-7ca7-4634-a58e-a0844243e1d6
Dataset
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Low-temperature fabrication of plasmonic titanium nitride thin films by electron beam evaporation (dataset)
Das, A. (Creator) & Schulz, S. A. (Creator), University of St Andrews, 6 May 2025
DOI: 10.17630/42a1d567-9e02-4916-8709-e2b4911c715c
Dataset
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Engineering Waveguide Nonlinear Effective Length via Low Index Thin Films
Ferrera, M. (Creator) & Jaffray, W. (Creator), Heriot-Watt University, 26 Mar 2024
DOI: 10.17861/9d84e279-3661-4722-b29e-ee93e9e846b4
Dataset