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Master of Engineering

AI/Computation for Materials

In this track, you will prepare for the simulation, design, and engineering of materials at scales ranging from Angstroms to meters. With training in artificial intelligence and numerical methods, you’ll be prepared for multiscale modeling using classical, quantum, and data-driven techniques for molecular and materials simulation, evaluation, optimization, and design.

In-depth electives allow you to specialize in biomaterials, polymer physics, quantum materials, scale-up, or experimental design. Other electives allow for the study of data analytics, machine learning, deep learning, optimization, or visualization.

This track suits candidates interested in: a career or advanced studies in molecular engineering, materials science, chemical engineering, applied physics, polymer science, and allied fields.

This track replaces the former Computational Modeling of Materials track, which you can find archived here.

Masters Overview