Grants and Contributions

This project will design and implement an experiments framework based on user journeys.

Pea proteins are now a major ingredient used in plant-based foods, with Canada being recognized as a major producer and exporter of dry peas. Pea protein concentrates and isolates are a complex mixture of proteins, the structure and composition of which directly impacts the functionality of pea protein ingredients, such as their ability to remain soluble, bind water, and form and stabilize emulsions and foams. Protein functionality thus affects the overall food quality. Pea protein structure and composition is affected by the use of different isolation methods (e.g., dry- and wet?fractionation), processing conditions, and different pea varieties, which in turn determines the functionality of these as ingredients in food. A clear understanding of how these different factors are interrelated is currently lacking, particularly for commercially-prepared samples. This project will combine analyses of protein composition, structure and functionality focused on commercially-relevant pea protein concentrates and isolates. This project will help reveal how different processing conditions affect pea protein structure and composition and, in-turn, functionality. This knowledge could be used by industry to optimize the manufacture of pea protein ingredients with improved function, sensory and nutritive properties.

The properties of quantum materials (QMs) are determined by strong correlations between their degrees of freedom, such as charge, spins and phonons. To fully capture the rich physics of QM, a dynamical approach is needed to unravel how electronic correlations form and are disrupted, and how the various degrees of freedom interact to exchange energy and momentum. The goal of the Project is to develop a quantum sensing platform for dynamic probing of correlated phases in QMs. Using ultrafast techniques, this platform will provide sensitivity to all aspects of the dynamics in these materials. This includes Extreme Photonics techniques, Ultrafast Electron Scattering, and transport and optical probing. The platform will enable the discovery of new phases that are only available when the QMs are brought far from equilibrium. Understanding how to create and manipulate these new phases will lead to the development of future devices for information and communications technologies.

The properties of quantum materials (QMs) are determined by strong correlations between their degrees of freedom, such as charge, spins and phonons. To fully capture the rich physics of QM, a dynamical approach is needed to unravel how electronic correlations form and are disrupted, and how the various degrees of freedom interact to exchange energy and momentum. The goal of the Project is to develop a quantum sensing platform for dynamic probing of correlated phases in QMs. Using ultrafast techniques, this platform will provide sensitivity to all aspects of the dynamics in these materials. This includes Extreme Photonics techniques, Ultrafast Electron Scattering, and transport and optical probing. The platform will enable the discovery of new phases that are only available when the QMs are brought far from equilibrium. Understanding how to create and manipulate these new phases will lead to the development of future devices for information and communications technologies.

Westgen is scaling up operations and bringing fabrication in house. In this project the Firm will develop the initial design of the fabrication process and set up of the production flow , as well as processes for continuous improvement of the operations

Hire a qualified research coordinator to manage ongoing research projects, design and develop future projects, plan the implementation of projects and communicate project results.

Sales and Marketing Representative training and enablement to expand product awareness across Canada and globally in target markets.

Bilateral project: CIIP Brazil - MOPMA project with Brazilian partner ARITECH Soluções em Automação Industrial in Vibration Technology for Mining Operation and Predictive Maintenance Analysis.

Symroc developed the Ultra-wide broadband vibration sensing technology during 2017-2019. Based on the existing platform, this project is to develop a unique system solution for Mining Operation and Predictive Maintenance Analysis for larger equipment, by jointly developing the distinctive hardware/ software systems with the Brazil industry partners/customers, R&D technology partner ARITECH, and Brazil EMBRAPII Unit Partner- CPQD. Initial joint R&D development and commercialization business agreement is in place among all development partners.

This project will provide the framework for using a novel machine learning algorithm that will allow cannabis producers to better meet the demands of their customers by controlling the cultivation environment in real-time.

The Project will support development of intellectual property capacity within the Firm.