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The Mechanics of Bioinspired Artificial Intelligence

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If you have a question about this talk, please contact Hilde Hambro .

Nature produces a variety of materials with many functions, often out of simple and abundant materials, and at low energy. Such systems – examples of which include silk, bone, nacre or diatoms – provide broad inspiration for engineering. Here we explore the translation of biological composites to engineering applications, using a variety of tools including molecular modeling, AI and machine learning, and experimental synthesis and characterization. We review a series of studies focused on the mechanical behavior of materials, especially fracture, and how these phenomena can be modeled using a combination of molecular dynamics and machine learning. We also present various case studies of material optimization using genetic algorithms, applied to 3D printed composites, protein design, and a translation of protein folding to music and back.

This talk is part of the Engineering - Mechanics and Materials Seminar Series series.

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