TY - JOUR
T1 - Mechanical signaling cascades
AU - Berry, Michelle
AU - Kim, Yongjae
AU - Limberg, David
AU - Hayward, Ryan C.
AU - Santangelo, Christian D.
N1 - Funding Information:
The authors gratefully acknowledge support for this work provided by the U.S. Army Research Office through Grant No. W911NF-21-1-0068.
Publisher Copyright:
© 2022 American Physical Society.
PY - 2022/10
Y1 - 2022/10
N2 - Mechanical computing has seen resurgent interest recently owing to the potential to embed sensing and computation into new classes of programmable metamaterials. To realize this, however, one must push signals from one part of a device to another and do so in a way that can be reset robustly. We investigate the propagation of signals in a bistable mechanical cascade uphill in energy. By identifying a penetration length for perturbations, we show that signals can propagate uphill for finite distances and map out parameters for this to occur. Experiments on soft elastomers corroborate our results.
AB - Mechanical computing has seen resurgent interest recently owing to the potential to embed sensing and computation into new classes of programmable metamaterials. To realize this, however, one must push signals from one part of a device to another and do so in a way that can be reset robustly. We investigate the propagation of signals in a bistable mechanical cascade uphill in energy. By identifying a penetration length for perturbations, we show that signals can propagate uphill for finite distances and map out parameters for this to occur. Experiments on soft elastomers corroborate our results.
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U2 - 10.1103/PhysRevE.106.044212
DO - 10.1103/PhysRevE.106.044212
M3 - Article
C2 - 36397529
AN - SCOPUS:85140827518
SN - 1063-651X
VL - 106
JO - Physical Review E - Statistical Physics, Plasmas, Fluids, and Related Interdisciplinary Topics
JF - Physical Review E - Statistical Physics, Plasmas, Fluids, and Related Interdisciplinary Topics
IS - 4
M1 - 044212
ER -