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Mechanical and Civil Engineering Seminar

Thursday, January 11, 2018
11:00am to 12:00pm
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Gates-Thomas 135
"Bioinspired algorithmic-driven design of additively manufactured materials"
Grace Xiang Gu, Caltech Young Investigator Lecturer in Engineering and Applied Science Recipient, Massachusetts Institute of Technology,

After billions of years of evolution, it is no surprise that biological materials are treated as an invaluable source of inspiration in the search for new materials. Bone, teeth, and spider silk are high-performing biological composites that possess impressive mechanical properties unmatched by their engineering counterparts. Many desired mechanical properties of engineering materials are inherently conflicting. On the other hand, natural materials can often avoid these fundamental compromises through their sophisticated hierarchical structures. Additive manufacturing, with its layer-by-layer fabrication capabilities, facilitates leveraging natural material design to create complex bioinspired architectures. In this talk, I will discuss ways we have mimicked nature's designs using simulation, additive manufacturing, and testing to learn how to create synthetic materials with superior mechanical properties (e.g. toughness, strength, impact resistance). Additionally, I will discuss how to further improve and adapt biological designs for engineering requirements through machine learning. In the future, this bioinspired machine learning approach will enable materials-by-design of complex architectures to tackle demanding engineering challenges.

For more information, please contact Sonya Lincoln by phone at 626-395-3385 or by email at [email protected].