Project Details
Description
The proposed network will establish and support cross-sectorial training and research programme bringing together leading European academic and industrial centers working in the area of optical frequency combs in microresonators (microcombs). The programme will allow to combine and share some of the world leading experience and expertise in the microcombs and train a new generation of scientists in this actively developing area bordering physics and photonic engineering and having pronounced applied and fundamental dimensions. The frequency comb research itself is the Nobel prize winning area (T. Hänsch and J. Hall, 2005), while the microcombs can qualify as an emerging disruptive technology. Europe still lacks a structured and comprehensive training programme in this area, which is proposed by our consortium, while facing a growing competiton with its global rivals. This programme will have a lasting impact increasing European innovation capacity through expanding knowledge base, new IP, trained personnel, better equipped laboratories and future collaborations leading to product development. Our project addresses research and technology problems with interdisciplinary importance from the areas of precision frequency metrology, ultrafast data processing, optical to RF signal conversion, astronomical measurements and soliton physics. Early stage researchers involved into the proposed network will receive broad and well balanced training in device characterisation and fabrication, experimental techniques and theory and modeling in best academic, research center and industrial environments. A programme of secondments and network wide events will ensure highest levels of cross-country and academia-industry mobility for our researchers. Soft-skills training events organised by such industrial consortium members as IBM, Menlo and AIRBUS will provide our researchers with career perspectives beyond their immediate research focus.
| Status | Finished |
|---|---|
| Effective start/end date | 1/01/19 → 31/12/23 |
Collaborative partners
- University of Bath (lead)
- Ecole Polytechnique Fédérale de Lausanne
- National Physics Laboratory
- Chalmers University of Technology
- Ghent University
- University of Valencia
- Karlsruher Institut für Technologie
- Menlo Systems GmbH
- Max-Planck-Gesellschaft Zur Feorderung Der Wissenschaftern E.V. (MPQ)
- KTH Royal Institute of Technology
- University of Freiburg
- IBM Research GmbH
Funding
- EU - Horizon 2020

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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Finesse and four-wave mixing in microresonators
Puzyrev, D. & Skryabin, D., 31 Jan 2021, In: Physical Review A. 103, 1, 013508.Research output: Contribution to journal › Article › peer-review
Open AccessFile11 Link opens in a new tab Citations (SciVal)142 Downloads (Pure) -
Photon-photon polaritons in χ(2) microresonators
Skryabin, D., Pankratov, V., Villois, A. & Puzyrev, D., 17 Feb 2021, In: Physical Review Research. 3, 1, 7 p., L012017.Research output: Contribution to journal › Article › peer-review
Open Access9 Link opens in a new tab Citations (SciVal) -
Threshold of complexity and Arnold tongues in Kerr-ring microresonators
Skryabin, D., Fan, Z., Villois, A. & Puzyrev, D., 31 Jan 2021, In: Physical Review A. 103, 1, L011502.Research output: Contribution to journal › Article › peer-review
Open AccessFile20 Link opens in a new tab Citations (SciVal)146 Downloads (Pure)
Datasets
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Dataset for "Parametric conversion via second harmonic generation and two-hump solitons in phase-matched microresonators"
Pankratov, V. (Creator) & Skryabin, D. (Creator), University of Bath, 12 Oct 2022
DOI: 10.15125/BATH-01201
Dataset
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Dataset related to the article "Frequency combs with multiple offsets in THz-rate microresonators"
Puzyrev, D. (Creator) & Skryabin, D. (Creator), University of Bath, 11 Oct 2022
DOI: 10.15125/BATH-01206
Dataset
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Dataset for: "Carrier-resolved real-field theory of multi-octave frequency combs"
Puzyrev, D. (Creator) & Skryabin, D. (Creator), University of Bath, 30 May 2023
DOI: 10.15125/BATH-01244
Dataset