AI Software for Photonics Semiconductor Fabrication

AI Software for Photonics Semiconductor Fabrication Deadline: 2020-03-19
Award: $150,000 CAD
Open to: Canadian entities*

Through the Canadian Photonics Fabrication Centre (CPFC), the NRC offers semiconductor foundry services to our clients for the fabrication of photonic devices. An essential part of those services is the growth by metallo-organic chemical vapour deposition (MOCVD) of heterostructures based on Gallium, Indium, Arsenic, and Phosphorus GaInAsP or Aluminum, Gallium, Indium, and Arsenic (AlGaInAs). The optical properties of these heterostructures are critical for the device performance, and is usually described by the photoluminescence (PL) wavelength, specified as a target (i.e., 1400 nm) and a variation around this target (± 5 nm). Current models used to target this PL wavelength are accurate within ±15 nm. As specifications are often tighter than this, experimental fine-tuning is needed to meet our clients' needs. This fine-tuning is done using calibration runs, which are costly and time-consuming.

NRC would like to see a modeling software developed that will, using empirical parameters as inputs, accurately predict the PL wavelength of a grown heterostructure, without the need for calibration runs.

* Details may apply. See contest website to confirm eligibility.

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