Superlative mechanical energy absorbing efficiency discovered through self-driving lab-human partnership.

Snapp, Kelsey L; Verdier, Benjamin; Gongora, Aldair E; Silverman, Samuel; Adesiji, Adedire D; Morgan, Elise F; Lawton, Timothy J; Whiting, Emily et al. · Nat Commun · 2024

biomechanical · Level V

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Abstract

Energy absorbing efficiency is a key determinant of a structure's ability to provide mechanical protection and is defined by the amount of energy that can be absorbed prior to stresses increasing to a level that damages the system to be protected. Here, we explore the energy absorbing efficiency of additively manufactured polymer structures by using a self-driving lab (SDL) to perform >25,000 physical experiments on generalized cylindrical shells. We use a human-SDL collaborative approach where experiments are selected from over trillions of candidates in an 11-dimensional parameter space using Bayesian optimization and then automatically performed while the human team monitors progress to periodically modify aspects of the system. The result of this human-SDL campaign is the discovery of a structure with a 75.2% energy absorbing efficiency and a library of experimental data that reveals transferable principles for designing tough structures.