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Sargent Group Renewable Fuels (University of Toronto)

Sargent Group Renewable Fuels (University of Toronto)

Sargent Group Renewable Fuels is a division in the Electrical and Computer Engineering Department at the University of Toronto working on developing renewable fuels.

OverviewStructured DataIssuesContributors

Contents

light.utoronto.ca
light.utoronto.ca...ls.html
Is a
Company
Company
Organization
Organization

Company attributes

Industry
Carbon capture and storage
Carbon capture and storage
Energy storage
Energy storage
0
Chemical Manufacturing
Chemical Manufacturing
0
Location
Toronto
Toronto
Canada
Canada
B2X
B2B2C
B2B2C
B2B
B2B
0
Number of Employees (Ranges)
11 – 50
Email Address
ted.sargent@utoronto.ca
Phone Number
+14169465051
Full Address
27 King's College Cir, Toronto, ON M5S, Canada

Other attributes

Company Operating Status
Active

Sargent Group Renewable Fuels unites chemistry, physics, and engineering within eight laboratories at the University of Toronto for developing renewable fuels. The company also works on x-ray diffraction (XRD), Atomic Layer Deposition (ALD) Service, and the Alliance for AI-Accelerated Materials Discovery (A3MD).

Research
Energy Storage and Carbon Dioxide Utilization

With the emergence of abundant renewable electricity, many industries are turning to electrification to reduce carbon intensity. Sargent develops electrocatalytic technology to synthesize chemical fuels and feedstocks, along with next-generation solar technologies with their industry partners.

Energy Harvesting

The Sargent team works to create novel ways to harvest energy, exploring the latest technologies with perovskites, colloidal quantum dots, and luminescent solar concentrators. This work significantly increases these technologies’ efficiencies, contributing to clean, renewable, flexible, and affordable solar energy.

Light Emission

Sargent combines the efforts of synthetic chemists, physicists, and engineers to design new light-emitting materials such as colloidal quantum dots and low-dimensional semiconductors.

Sensing

The company seeks to discover new semiconducting materials for use in on-chip signal processing. The team unites high-throughput computational and experimental frameworks to screen new candidate materials, with an emphasis on solution-processability and stability.

Machine Learning

The rational design of new materials for optoelectronic applications benefits greatly from an initial computational screening of a large number of candidates using machine learning. Sargent combines the efforts of material computationalists and synthetic chemists to identify the best material candidates for optoelectronic applications.

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Funding Rounds

Products

Acquisitions

SBIR/STTR Awards

Patents

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References

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