Posts Tagged: Acceleration Consortium
Partnership agreement leverages AI and automation to design new chemical products with applications in crop protection, industrial coatings and drug delivery
U of T Engineering researchers receive $2.8M to build the Toronto Integrated Platform for Materials under Extreme Conditions
Twelve research projects, from across U of T, will leverage or drive the development of self-driving labs
The Self-Driving Laboratory for Human Organ Mimicry is one of six self-driving labs launched by the Acceleration Consortium to drive research across a range of fields
A team led by Professor Yu Zou (MSE) is using a deep learning and genetic algorithm framework to achieve application-specific mechanical properties by microstructure optimization
Funding will enhance the work of the Acceleration Consortium, a multidisciplinary collaboration that includes several U of T Engineering researchers
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