We keep Canadians and the world connected by pushing the boundaries in photonics and electronics research and the development of new communication and sensor technologies. We work with academia, research organizations and industry to discover, de-risk, develop and commercialize inorganic and organic semiconductor technologies. We manage the Canadian Photonics Fabrication Centre, which is North America's only pure play commercial compound semiconductor foundry offering epitaxy to fabrication services to a global research and industrial client base.
Services and information
Facilities
Research programs
Technical and advisory services
- Integrated Optics
- Semiconductor Lasers
- Sensors
- Printable Electronics
- Fabrication Processes and Prototyping
Why work with us
We provide expert, research-based advice on design and simulation, materials, fabrication, integration and full-scale testing.
Our engagement models:
- Research
- Collaborative research
- Technical and advisory service
- Fabrication
- Licensing
We work with all players in the photonics and electronics industry, in Canada and internationally:
- Start-ups
- Small and medium sized enterprises
- Multinationals
- Research organizations
- Universities
- Government departments
Contact us
Mohammad Salahuddin, Business Development Officer
Email: Mohammad.Salahuddin@nrc-cnrc.gc.ca
Our experts
Related links
- New printable ink electrifies wearable technology
- New LiDAR technology for autonomous vehicles picks up speed in Canada
- Advisory Board members
- Dr. Zhenguo Lu elected as a Fellow of Optica
- Rapid response to network needs keeps communications flowing through COVID‑19 and beyond
- Building bridges for women in STEM
- Dr. Pavel Cheben received Public Service Award of Excellence
- Precise timing is crucial for high-speed Internet
- Canada—A hotbed for printable electronics!
- Canadian company introduces "intelligent packaging" to global market for pharmaceuticals and over-the-counter medications
- A bright future for new fibre-optic devices
Research publications
- Inverse design of robust photonic components
- Feature correction of a topologically optimized mode demultiplexer using deep neural networks
- Wheat spike localization and counting via hybrid UNet architectures
- Pre-fabrication performance verification of a topologically optimized mode demultiplexer using deep neural networks
- Deep learning-based prediction of fabrication-process-induced structural variations in nanophotonic devices