Based at the University of Toronto, we are a global network of government, academia, and industry who are working to realize the age of materials on demand. There is no time for science in silos.

LEADERSHIP
The Consortium is led by
Alán Aspuru-Guzik

Alán Aspuru-Guzik

Director, Acceleration Consortium (AC)

Alán is one of the world’s leading AI and advanced materials researchers. Learn more about him and the AC team.

Meet the team
Why A CONSORTIUM?

Global issues require global approaches.

Materials and molecules are at the centre of nearly all the world’s major challenges such as climate change, plastics pollution, and cancer. But they are also the foundation of virtually every major advancement in human history, from the Stone Age to the Bronze Age, to the semiconductors that propelled the Information Age. By convening experts across disciplines, sectors, and geographies, the AC aims to expedite research translation and commercialization that will drive the age of materials on demand.

What we do

To create a healthier, sustainable future, we need the right materials—now.

We build self-driving labs—that combine material science with the power of artificial intelligence, robotics, and advanced computing—to rapidly design and test new materials. These autonomous labs reduce the time and cost of bringing advanced materials to market, from an average of 20 years and $100 million to as little as one year and $1 million. 

ACCELERATED DISCOVERY
Artificial Intelligence (AI)
Robotics
Advanced Computing
Materials and
Molecular Science
Our OBJECTIVES

We have 3 overarching goals

1
Research

To transform scientific innovation by leveraging self-driving labs to accelerate materials discovery, while making fundamental breakthroughs in AI, robotics, computational and materials science

2
Network

To convene an innovation ecosystem of academia, government, industry and entrepreneurs to marry technological breakthroughs to commercial translation and company creation that address genuine market needs.

3
Training

To create a nation-wide training platform to provide the next generation of talent with industry-relevant AI and material science expertise

HOW WE DO IT

Self-driving labs use artificial intelligence (AI) and computational modelling to predict which advanced materials or small molecules will have the properties (e.g. conductivity) required for a particular application.

A robotic lab then uses these predictions to autonomously synthesize and test it for said properties. This data is then fed back into the AI system, so that it can learn from the results to generate a new, better slate of candidates. After rounds of predictions, syntheses, and tests, a winner emerges. By inverting the usual discovery process, this closed-loop technology allows scientists to first define the desired properties and then work backwards to develop whole families of new materials without tedious hours of trial and experiments in the lab.

VIDEO LOOP: 1. ADA at the University of British Columbia (Curtis Berlinguette, Jason Hein, Alán Aspuru-Guzik); 2. Artificial Chemist synthesizes made-to-measure inoroganic perovskite quantum dots (Milad Abolhasani, NC State University); 3. Robotically reconfigurable flow chemistry platform performs multistep chemical syntheses planned in part by AI (Connor Coley, MIT); 4. Chemputer, a computer-driven automated chemistry lab (Lee Cronin, University of Glasgow); 5. Mobile robot chemist (Andy Cooper, University of Liverpool)
WHAT WE DISCOVER

We make advanced materials that improve upon conventional ones by providing superior performance across several categories, including longevity, environmental impact, and cost.

Read our research
Applicattion Areas

As a platform technology, self-driving labs are largely material agnostic and can be applied to a wide range of areas. Scroll to discover.

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HEALTHCARE

Antiviral coatings, drug delivery and bio-compatible polymers for regenerative medicine

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DRUGS

Molecular design, testing and production of drugs and therapeutics

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TRANSPORTATION / CONSTRUCTION

Lighter, stronger, corrosion-resistant alloys, and eco-friendly cement

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ENERGY

Renewable energy production, batteries and storage

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GREEN PRODUCTS

Biodegradable plastics and fibres

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ELECTRONICS

Cheaper, higher capacity, eco-friendly LEDs and wearable devices

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NEW

Entirely novel classes of materials to launch new industries

Interested in a materially different future?
JOIN THE CONSORTIUM
Who we are

We bring together academics, government, industry, and start-ups to expedite technology development and commercialization that addresses genuine market needs.

Academia

AC members are a diverse group, hailing from a wide variety of disciplines, including AI, computer science, mathematics, chemistry, chemical engineering, materials science and engineering, mechatronics, biology, pharmacology, robotics, techno-economics, and more.

Researchers

Government

Government support and investment is helping to create a new market for advanced materials. The AC is already working with the National Research Council of Canada, Natural Resources Canada, the Vector Institute and CIFAR.

Partners

Industry

The AC’s industry members have the opportunity to consult and collaborate with leading researchers, access a growing talent pool, and gain professional training and upskill technicians in the design and operation of self-driving labs.

Partners
30+
Self-driving labs across the world
10-100x
Faster rate of discovery
92
Academic members
20
Partners

Deadline to apply for our 2023 AC postdoc fellowship is Jan 27!

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