Evidence map›Paper›PMID 41572534›Full record

ArticleAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2026

Rotary Electromechanical System Integrating Non-Reciprocal Memory and Combinational Logic.

Shujia Chen, Don Straney, Damiano Pasini

Abstract read
In one paragraph

Article in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Shujia ChenDepartment of Mechanical Engineering, McGill University, Montreal, Canada.ORCID https://orcid.org/0009-0004-2296-8204
Don StraneyDepartment of Mechanical Engineering, McGill University, Montreal, Canada.
Damiano PasiniDepartment of Mechanical Engineering, McGill University, Montreal, Canada.ORCID https://orcid.org/0000-0002-3021-7118

Funding

Canada Research Chairs 257679China Scholarship Council 202206020073NSERC 208241
6 · The paper itself

Abstract

Recent advances in mechanical computing have harnessed bistable mechanisms with intrinsic memory to extend the scope of physically embodied intelligence, enabling history-dependent behavior. However, existing mechanical computing architectures largely fail to integrate mechanically encoded memory with the logic operations necessary for sequential information processing, a foundational requirement for advanced computational tasks, such as autonomous sequential decision-making. Here, we introduce a rotary electromechanical computing system that unifies non-reciprocal mechanical memory with combinational logic, enabling reprogrammable sequential decision-making within a single finite-state-machine (FSM) framework. The architecture consists of serially coupled rotary bistable units that collectively produce a history-dependent, non-reciprocal mechanical memory. The discrete geometric orientation of each unit encodes a binary state, which is transduced through a conductive network to execute logic operations. Under applied torque, the stacked system functions as a four-bit FSM, in which state-transition rules can be reconfigured by modifying the electromechanical coupling. This rotary FSM demonstrates multiple computing functionalities, including digital combination locking, in-memory electromechanical computation, and reprogrammable digital control. By embedding non-reciprocal state evolution and electrical logic directly into physical hardware, this work establishes a pathway toward physically embedded intelligence for next-generation electromechanical systems.

Indexed as

electromechanical systemnon‐volatile mechanical computingrotation‐driven bistable mechanismsequential logic

Identifiers

PMID41572534
PMCPMC13042823

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.