Acceleration Consortium

The Acceleration Consortium is leading a paradigm shift in scientific discovery through the development of self-driving artificial intelligence-guided robotic labs that accelerate the discovery of advanced materials and small molecules, from decades to years. The consortium addresses fundamental topics, such as deep learning algorithms, materials modelling, and robotics and applied challenges, such as discovering materials for a wide range of commercial applications. The Acceleration Consortium supports a commercialization-focused ecosystem that aims to translates materials discoveries through start-ups and industry partnerships.

portrait of a smiling Anatole von Lilienfeld, wearing a tan blazer and dark grey vest and tie, holding a circuit board in each hand

Anatole von Lilienfeld appointed inaugural Clark Chair

Machine learning and physical chemistry specialist Anatole von Lilienfeld has been named the inaugural holder of the Clark Chair in Advanced Materials at the Vector Institute and the University of Toronto, becoming a pivotal faculty member at the Acceleration Consortium Read more about the appointment, the Clark Chair and U of T donor Edmund Clark → A leading expert in […]
Ainka Jess and Alán Aspuru-Guzik conversing on the street. A blue box, containing the words The Acceleration Consortium, is centered on top of the image

Groundbreakers: U of T’s Acceleration Consortium rethinks the laboratory to optimize the discovery-to-commercialization process

What does the lab of the future look like? When it comes to advanced materials, can we accelerate the process of discovery to commercialization from 25 years to 10, five or even one? These are some of the issues explored by Alán Aspuru-Guzik, director of the Acceleration Consortium at the University of Toronto, and polymer […]

Acceleration Consortium

The Acceleration Consortium is leading a paradigm shift in scientific discovery through the development of self-driving artificial intelligence-guided robotic labs that accelerate the discovery of advanced materials and small molecules, from decades to years. The consortium addresses fundamental topics, such as deep learning algorithms, materials modelling, and robotics and applied challenges, such as discovering materials for a wide range of commercial applications. The Acceleration Consortium supports a commercialization-focused ecosystem that aims to translates materials discoveries through start-ups and industry partnerships.
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