Computational Materials & Data Analytics

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 

Related Faculty

Singh, Chandra Veer

Chandra Singh 

Nanostructured Growth & Characterization Laboratory

Photo courtesy of Anatole von Lilienfeld

Anatole von Lilienfeld

 Professor & Clark Chair of Advanced Materials at the Vector Institute

YuZou-square

Yu Zou  

Laboratory for Extreme Mechanics & Additive Manufacturing

HibbardGD_T

Glenn Hibbard 

Cellular Hybrid Materials Research Group

Thorpe, Steven J.

Steven Thorpe 

Surface Engineering & Electrochemistry (SEE) Group

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)

Related Links

 Computational Materials Engineering (CME) Laboratory

Process Metallurgy Research Labs

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

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