The Acceleration Consortium (AC) is a global centre for materials research and innovation at the University of Toronto (U of T). Our core facilities include 6 state-of-the-art self-driving labs (SDLs) at U of T and 1 at the University of British Columbia. These labs use AI and automation to accelerate the discovery of a wide range of materials and molecules needed for a resiliant and sustainable future, including catalysts for CO2 conversion, non-corroding metals, and anti-cancer drugs. Our SDLs are led by more than 35 staff scientists and a cohort of over 75 faculty. The labs are open core facilities that support the research and development efforts of the AC and our academic, industrial, and government partners, as well as the greater community. In addition to our own SDLs, we have access to over 30 others across Canada and internationally through our consortium members.
In 2023, the AC received a $200M investment from the Canada First Research Excellence Fund (CFREF) that allowed us to expand our capacity and facilities. As part of this expansion, renovations are currently underway at the University of Toronto’s Lash Miller building, which will house a selection of our SDLs and other facilities. Each SDL is also supported by:
A research hub to develop AI tools and robotic lab automation hardware for self-driving labs at the AC
Autonomous inorganic materials discovery comprising synthesis, characterization of structure and function; and application testing across CO2 capture and conversion, energy storage, structural materials, photonics, electronics, and more
Autonomous organic small molecule discovery comprising synthesis, workup, separation, characterization of structure and function; and application testing across drugs, electronics, photonics, green products, and more
Autonomous medicinal chemistry comprising synthesis and bioassays for chemical probe development and drug hit-to-lead discovery
Autonomous polymeric materials discovery comprising synthesis, characterization of structure and function, and application testing across healthcare, sustainability, energy storage, and more
Autonomous formulation of materials comprising combinatorial mixing; formation of liquids, semi-solids, solids; characterization of structure and function, and application testing across personal care, healthcare, and more
Autonomous discovery of new healthcare materials and therapies using high fidelity models of functional tissues and diseases
Autonomous discovery of organic small molecules and inorganic solid-state materials at scale bridging synthesis, purification, and characterization with protocol and yield optimization
A hands-on learning facility to support hardware and software upskilling for AC labs for topics such as Bayesian optimization, workflow orchestration, and sample transfer