Advanced manufacturing news

Advanced manufacturing program and research at U of T Engineering are creating next-generation technology while preparing future engineers to lead in industry.

Two researchers wearing personal protective equipment work with 3D metal printers in a lab setting.

U of T Engineering lab receives $1.2 million to support advancements in small modular reactor manufacturing

New funding from the Natural Sciences and Engineering Research Council (NSERC) Alliance program and Natural Resources Canada will support research led by Professor Yu Zou (MSE)

Professor Yu Zou and a graduate student with a metal 3D printer (Photo: Neil Ta)

New U of T Engineering facility will enable multidisciplinary researchers to test materials under extreme conditions

U of T Engineering researchers receive $2.8M to build the Toronto Integrated Platform for Materials under Extreme Conditions

A scientist (Professor Yu Zou) is smiling at the camera. Professor Zou appears to be standing in a lab. He is surrounded by computer and laboratory equipment.

Acceleration Consortium announces $1.2 million in funding for projects that accelerate scientific discovery

Twelve research projects, from across U of T, will leverage or drive the development of self-driving labs

Two researchers appear focused on a computer monitor connected to the scanning electron microscope.

U of T Engineering’s OCCAM partners with Royal Ontario Museum to preserve ancient Greek coins

Characterization studies carried out by MSE researchers support historical conservation, green energy research, advanced manufacturing and more

Ambrish Kumar makes his pitch at Falling Walls Lab in Berlin, Germany on November 7, 2023.

U of T Engineering student pitches green hydrogen startup at international competition in Berlin

Ambrish Kumar (MSE MEng candidate), who developed his startup at The Entrepreneurship Hatchery, won Falling Walls Lab Toronto

PhD candidate Xiao Shang sets up a part for printing using the directed energy deposition 3D printer.

This machine learning method aims to speed up the design of next-generation biomedical implants and aerospace materials

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

Two individuals hold an atomic structure model

U of T Engineering researchers are using electric fields to control the movement of defects in crystals

New phenomenon of controlling dislocation motion has the potential to improve performance and formability of semiconductors and other brittle crystalline materials

Philipp Seiler stands next to a chalk board with a mathematical equation.

‘A good lecture should be an active discussion’: Meet Professor Philipp Seiler

Seiler (UTIAS) brings an expertise in ultra-lightweight structures and high-temperature materials for turbines and rocket engines

Robotics in a chemistry lab

‘Self-driving labs’: $200-million federal grant powers AI-driven materials discovery for clean energy, advanced manufacturing and more

Funding will enhance the work of the Acceleration Consortium, a multidisciplinary collaboration that includes several U of T Engineering researchers