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AI Software for Photonics Semiconductor Fabrication




Through the Canadian Photonics Fabrication Centre (CPFC), the National Research Council of Canada (NRC) offers semiconductor foundry services to the clients for the fabrication of photonic devices.

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.

Eligible Applicants

Solution proposals can only be submitted by a small business that meets all of the following criteria:

  • for profit
  • incorporated in Canada (federally or provincially)
  • 499 or fewer full-time equivalent (FTE) employees
  • research and development activities that take place in Canada
  • 50% or more of its annual wages, salaries and fees are currently paid to employees and contractors who spend the majority of their time working in Canada
  • 50% or more of its FTE employees have Canada as their ordinary place of work
  • 50% or more of its senior executives (Vice President and above) have Canada as their principal residence

Eligible Expenses

The program will support projects that proposed solutions on the following:

  • Phase 1 requirements: At the end of phase 1, a proof-of-concept software is required. This software must:
  1. Be able to extract data from text files for the various process inputs and outputs, with an error rate less than 1%. The inputs and outputs to read are:PL maps, X-ray Diffraction (XRD) profile, Metalorganic Chemical Vapour Deposition (MOCVD) recipe, temperature profile, reflectivity profile, run log. Approximately 500 datapoints are available for each and will be provided by NRC.
  2. Be able to produce a model based on this data and machine learning principles that can, when given a structure and recipe, predict a PL wavelength.
  3. Demonstrate that PL variations are non-stochastic below ± 5 nm.
  4. Be usable on any windows-based PC, running windows XP or newer versions.
  • Phase 2 requirements: At the end of phase 2, in addition to phase 1 requirements, the software must:
  1. Be able to predict the PL wavelength within ± 5 nm for any combination of compositions (Al,Ga,In,As,P) and layer structure, within the boundaries of the available data, when using a MOCVD recipe and a structure as input.
  2. Be adaptable by the user; the software must be able to read new data and update its model under the user’s control.
  3. Be able to provide recipe parameters when given a structure, target PL, and recent run results, and have the resulting PL be within ±5 nm of this target. The user must be able to fix parameters. Parameters are, for each layer in a structure: Temperature, zone heating, time, multiple gas flows.
  4. Be applicable to any MOCVD tool of comparable capability.

Deadline Date

  Closing date: May 22, 2020, 14:00 Eastern Daylight Time


Contact Name: Government of Canada

E-mail Address:


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