U of T ENGINEERING

Department of Materials Science & Engineering

Materials AI & Machine Learning

Overview

Materials engineers use computation and artificial intelligence to understand fundamental materials behavior, predict performance and design next generation material systems.

Research Topics

Machine learning for alloy design
Computational advanced manufacturing
Experiments and modelling of metallurgical process for designing new processes
Solid state reactions and computational fluid dynamics and heat transfer applied to design and optimize real industrial processes
Mapping the categorical form of information compositionality in materials mechanisms
Discover, design, and optimize novel materials for green energy and transportation applications
Alloy development of nano and amorphous electrocatalysts

MSE Faculty

Thorpe, Steven J.

Steven Thorpe

Surface Engineering & Electrochemistry (SEE) Group

Singh, Chandra Veer

Chandra Singh

Computational Materials Engineering Lab

Professor Jason Hattrick-Simpers has joined the Department of Materials Science & Engineering. (Photo courtesy Jason Hattrick-Simpers)

Jason Hattrick-Simpers

AUTOnomous DIscovery of ALloys (AUTODIAL)

Photo courtesy of Anatole von Lilienfeld

Anatole von Lilienfeld

Professor & Clark Chair of Advanced Materials at the Vector Institute

YuZou-square

Laboratory for Extreme Mechanics & Additive Manufacturing

HibbardGD_T

Glenn Hibbard

Cellular Hybrid Materials Research Group

View our Faculty Listing

Adjunct Faculty

R. Black (NRC)

M. Greenwood (NRC)

E. Kim (Cohere)

Cross-Appointed Faculty

A. Aspuru-Guzik (ChemE)

Related Links

Computational Materials Engineering (CME) Laboratory

Laboratory for Extreme Mechanics & Additive Manufacturing

UofT Engineering Data Analytics & Artificial Intelligence Research Cluster

Robot Revolution is Happening - Like it or Not | A Lecture by Prof. Anatole von Lilienfeld