MIT Short Course Live Virtual: Predictive Multiscale Materials Design: 21-25, 2021

TL;DR, MIT Short Course, Live Virtual June 21-25, 2021; a hands-on bootcamp on multiscale mechanics, ML/AI, additive methods, biomaterials and bio-inspired materials and design. Registration closing soon - sign up now!

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Computational methods including AI arerevolutionizing the materials design world, and especially the field of mechanics of materials. We can now develop mechanical properties of a materials "by design" and the system will manufacture a microstructure that matches the specifications.  Algorithms predict which chemical building blocks can be combined to create advanced materials with superior mechanical functions — from ultra-strong, lightweight materials used in the automotive, construction and aerospace industries, to biomaterials used in implants and biomedical devices with the ability to self heal and regenerate. 

This course covers the science, technology, and state-of-the-art computing methods being used to fabricate innovative materials from the molecular scale upwards, as well as advanced manufacturing methods, such as additive manufacturing and multimaterial 3D printing. Through lectures and hands-on labs, participants will learn how to construct, in a bottom-up manner, atomically-precise products through the use of molecular design, predictive modeling, and manufacturing, allowing the fabrication of a vast array of advanced, innovative designs for a wide-range of applications. 

You'll explore: 

• Cutting-edge computational tools that range from multi-scale modeling to the use of machine learning and AI 
• How to use the tools to predict mechanical properties such as strength, toughness, deformability, and elasticity, as well as optical, thermal, and electronic properties
• How superior material properties in nature and biology can be mimicked in bio-inspired materials 
• The synthesis of computationally-designed hierarchical composites using 3D printing and other advanced manufacturing techniques, followed by subsequent mechanical testing

More details here...

Fellowships are available for academic participants to cover part of the course fee. Interested applicants should email their CV/biosketch to mbuehler@MIT.EDU. 

Apply for the course and sign up (once awarded, fellowships will be applied): https://professional.mit.edu/course-catalog/predictive-multiscale-materials-design