MOF-ChemUnity offers a structured map of scientific knowledge about the structure, properties and potential uses of this ...
Inventor of the lithium-ion battery Akira Yoshino inspires new collaborations for battery innovation
More than 200 people attended a partnership event hosted at U of T, featuring Honorary Fellow of Asahi Kasei Corporation ...
BME PhD student will study point-of-care diagnostics, including how they can account for biomarkers and variations specific ...
The bio-inspired technology being developed by MIE graduate student Arman Arezoomand could also advance embodied AI and ...
The Space Travel Analog Research Team (START) successfully launched their payload as part of the 7th Annual Canada Stratospheric Balloon Experiment Design Challenge ...
A new numerical modelling tool could help improve the design and operation of intermittent water distribution systems, which supply more than a billion people around the world. “Water distribution ...
A new material developed by researchers from U of T Engineering could offer a safer alternative to the non-stick chemicals commonly used in cookware and other applications. The new substance repels ...
A new paper by Professor Isabelle Rao in the Department of Mechanical & Industrial Engineering (MIE) uses mathematical modelling to show the impact of providing stable housing to people experiencing ...
One of the fundamental tenets of quantum mechanics is that measuring a physical system always disturbs it. If the system in question is a message in a series of digital bits encoded in the ...
Professor Milica Radisic (ChemE, BME) has been elected a fellow of the American Association for the Advancement of Science (AAAS), the world’s largest general scientific society. This honour ...
A U of T Engineering team has collaborated with researchers in the Wilfred and Joyce Posluns Centre for Image Guided Innovation and Therapeutic Intervention at The Hospital for Sick Children (SickKids ...
Researchers at U of T Engineering, led by Professor Yu Zou (MSE), are leveraging machine learning to improve additive manufacturing, also commonly known as 3D printing. In a new paper, published in ...
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