Predictive Multiscale Materials Design

Overview

What you will learn

By taking the Predictive Multiscale Materials Design course offered by Massachusetts Institute of Technology (MIT) , you will:

• Master cutting-edge computational tools that range from multi-scale modeling to machine learning and artificial intelligence.

• Design and carry out multiscale modeling

• Embed the models into AI systems using state-of-the-art deep learning approaches

• Explore experimental techniques that probe, understand, and can be used to design the ultimate structure of materials—from atoms upwards

• Use design tools to predict mechanical properties—such as strength, toughness, deformability, and elasticity, as well as optical, thermal, and electronic properties—and learn to predict material failure of 3D printed designs

• Utilize cloud computing to design novel designer proteins and superior material properties by mimicking bio-inspired materials found in nature and biology

• Synthesize computationally designed hierarchical composites using 3D printing and other advanced manufacturing techniques, followed by subsequent mechanical testing 

• Design and generate novel materials in a computational-manufacturing pipeline

• Evaluate and apply computational tools in materials design (synthesis and testing), including those related to molecular mechanics, nanotechnology, multiscale and hierarchical materials, and emerging materials technologies

• Explore fundamentals and codes for performing state-of-the-art techniques—such as molecular dynamics, molecular mechanics, and coarse-graining—used to cover a range of length- and time-scales

• Receive instructor feedback on your real-world challenges during a hands-on clinic