Abstract
Solid mechanics is an important field responsible for the robust designs of humanity's greatest engineering accomplishments, from skyscrapers to airplanes to the space shuttle. A burst of new manufacturing techniques and novel next-generation materials is ushering in a new age of engineering revolving around sustainable development. In this chapter, we outline how artificial intelligence (AI) can help scientists and engineers manage the increasing complexity and computational requirements in solid mechanics fields. Two common problem-solving frameworks, forward and inverse design, as well as two promising new AI-based approaches, physics-informed deep learning and graph neural networks, are covered.
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