Dresden 2020 – scientific programme

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CPP: Fachverband Chemische Physik und Polymerphysik

CPP 14: Topical Session: Data Driven Materials Science - Materials Design I (joint session MM/CPP)

CPP 14.3: Talk

Monday, March 16, 2020, 11:00–11:15, BAR 205

Automatic design of reversible shape changing metamaterials — Silvia Bonfanti, Francesc Font Clos, Roberto Guerra, and •Stefano Zapperi — University of Milan, Milan, Italy

We have developed a computational method to design metamaterials that perform pre-determined input/output mechanical operations. Our numerical scheme to design metamaterials combines a reinforced dynamic Monte Carlo method with finite element simulations. We performed 3D printing of selected metamaterial configurations, showing that the machine-generated solutions present effciencies far exceeding those of man-designed ones. Finally, we show that machine learning algorithms can be trained to identify efficient solutions without performing simulations. The designed metamaterial units can be exploited as the building blocks of generic metamaterial machines or other actuators with higher complexity.

This work is supported by the European Research Council through the PoC project METADESIGN. The presenting author thanks the Alexander von Humboldt foundation for the Humboldt Research Award.