Toward Ternary Computing Enabled by Origami-Inspired Modular Architectures

Abstract Modern mechanical computing, being envisioned as a pathway toward structure- and material-level processing, holds potential for intelligent metamaterials and robotics in extreme environments. However, current computing architectures remain constrained by binary paradigms. Here, we introduce an origami-inspired modular architecture that encodes logical mappings into its inherent kinematic responses under an input-output decoupled paradigm, enabling both binary and ternary mechanical computing. Within this emerging paradigm, the multi-stable states of two Kresling origami configurations serve as physical carriers for generating discrete signals, while torsional transitions among these states ensure signal switching, supporting operations from logic gates to advanced arithmetic. Based on this mechanical architecture, we systematically demonstrate seven common logic gates and modular arithmetic half- and full-adders in both binary and ternary systems, revealing challenges and opportunities in advancing multi-valued logic through comparative analysis. The physical platform, along with its accompanying response-programming strategy, represents a simplified and generalized paradigm that supports migration to higher-level mechanical computing mechanisms.

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Publication Details

Journal
Nature Communications
Published
2026-11-05
DOI
https://doi.org/10.1038/s41467-026-79187-0
Primary Topic
Advanced Materials and Mechanics
Type
article
Field-Weighted Citation Impact
0.00
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article

Toward Ternary Computing Enabled by Origami-Inspired Modular Architectures

Haibo Qu, Peiyi Wang, Jinkyu Yang, Xiaolei Wang et al.
Nature Communications
Advanced Materials and Mechanics
article

Toward Ternary Computing Enabled by Origami-Inspired Modular Architectures

Haibo Qu, Peiyi Wang, Jinkyu Yang, Xiaolei Wang, Sheng Li Guo, Zihe Wang
article en

Abstract

Abstract Modern mechanical computing, being envisioned as a pathway toward structure- and material-level processing, holds potential for intelligent metamaterials and robotics in extreme environments. However, current computing architectures remain constrained by binary paradigms. Here, we introduce an origami-inspired modular architecture that encodes logical mappings into its inherent kinematic responses under an input-output decoupled paradigm, enabling both binary and ternary mechanical computing. Within this emerging paradigm, the multi-stable states of two Kresling origami configurations serve as physical carriers for generating discrete signals, while torsional transitions among these states ensure signal switching, supporting operations from logic gates to advanced arithmetic. Based on this mechanical architecture, we systematically demonstrate seven common logic gates and modular arithmetic half- and full-adders in both binary and ternary systems, revealing challenges and opportunities in advancing multi-valued logic through comparative analysis. The physical platform, along with its accompanying response-programming strategy, represents a simplified and generalized paradigm that supports migration to higher-level mechanical computing mechanisms.

Nature Communications
Seoul National University (KR), National University of Singapore (SG), Shanxi University (CN), Beijing Jiaotong University (CN)
Openalex Percentile: Top 24%
Advanced Materials and Mechanics
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