Skip to content
U of T ENGINEERING
U of T Home
Give Now
Urgent Support
Contact
Search for:
Submit Search
Main Menu
Department of Materials Science & Engineering
About Us
Overview & Mission
Department Leadership
Message From the Chair
This is Materials Science & Engineering
MSE Milestones
Contact
Prospective Students
Undergraduate
What our Undergraduate Students Say
Admissions
Professional Experience Year Co-op Program (PEY Co-op)
Graduate Studies
Graduate Research Day 2025
About our Graduate Studies
Master of Engineering (MEng)
Master of Applied Science (MASc)
Doctor of Philosophy (PhD)
Admission Requirements
Application Deadlines
Frequently Asked Questions (FAQs)
How to Apply
Current Students
Undergraduate
Graduate
Career Development Services
Graduate Student Life
Forms for Download
Student Opportunities
Job Opportunities
Equity, Diversity & Inclusion
Faculty & Staff
Professors
Professors Emeriti
Adjunct & Cross-Appointed Professors
Department Contacts
Forms for Download
Research
Areas of Research
Research Highlights
Facilities
Walter Curlook Materials Characterization & Processing Laboratory
Open Centre for the Characterization of Advanced Materials (OCCAM)
Undergraduate Teaching Laboratories (UGTL)
Alumni & Industry
Overview
Industry Relations
Alumni Relations
Alumni Profiles
Stay Connected
Alumni Volunteer Opportunities
Invited Lecture Series
Distinguished Lecture Series
Impact Speaker Series
Ursula Franklin Women in MSE Seminar Series
Winegard Visiting Lectureship
Impact Magazine
Give to MSE
News
Events
Health & Safety
Twitter/X
Linkedin
Instagram
Home
»
This machine learning method aims to speed up the design of next-generation biomedical implants and aerospace materials
»
52764253292_ec6be0df5e_o-650×433
Posted October 19th, 2023
by
Sherry Esfahani
52764253292_ec6be0df5e_o-650×433
© 2025 Faculty of Applied Science and Engineering
