Accelerated materials development via materials genomic approach and machine learning

In much the same way that silicon in the 1970s led to the modern information technology industry, the development of advanced materials will fuel many of the emerging industries that will address challenges in energy, national security, healthcare, and other areas. Yet the time it takes to move a newly discovered advanced material from the laboratory to the commercial market place remains far too long. This project aims to accelerate the discovery and design of advanced materials by high throughput computing and machine learning.

Faculty Supervisor:

Deepa Kundur

Student:

Partner:

National University of Singapore

Discipline:

Engineering

Sector:

Education

University:

University of Toronto

Program:

Globalink Research Award

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