Combinatorial Design of Floppy Modes and Frustrated Loops in Metamaterials
Wenfeng Liu, Tomer A. Sigalov, Corentin Coulais, Yair Shokef
TL;DR
The paper addresses designing metamaterials with arbitrarily many floppy modes and frustrated loops using a combinatorial approach based on triangular building blocks and a spin-like description. It presents a theory that maps geometry to mode shapes and counts, extends to layered architectures, and demonstrates functional capabilities including sequential buckling under global compression and matrix-vector multiplication for mechanical computing. The work broadens the design space for soft programmable materials, enabling complex, tunable deformation pathways and embodied computation with potential applications in shock absorption, shape morphing, and mechanical information processing. By bridging abstract combinatorial principles with practical 3D-printed realizations, it offers a versatile framework for future metamaterial designs that harness geometric frustration and floppiness.
Abstract
Metamaterials are a promising platform for a range of applications, from shock absorption to mechanical computing. These functionalities typically rely on floppy modes or mechanically frustrated loops, both of which are difficult to design. In particular, how to design multiple modes or loops with target deformations remains an open problem. We introduce a combinatorial approach that allows us to create an arbitrarily large number of floppy modes and frustrated loops. The design freedom of the mode shapes enables us to easily introduce kinematic incompatibility to turn them into frustrated loops. We demonstrate that floppy modes can be sequentially buckled by using a specific instance of elastoplastic buckling. We utilize our combinatorial floppy chains and frustrated loops to achieve matrix-vector multiplication in materia. Our findings bring about new principles for the design and the use of floppiness and geometric frustration in soft matter and metamaterials.
