Predictive Multiscale Materials Design Massachusetts Institute of Technology (MIT)

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