ArticleNature communications2023
In-memory mechanical computing.
Article in Nature communications, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.
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.
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.
Who cites it
24 citing papers in PubMed.
- Viscoelastic nanomechanical devices for neuromorphic information processing.Science advances · 2026Article
- Parallel reservoir computing exploiting a single MEMS device via blue sideband excitation.Microsystems & nanoengineering · 2026Article
- Programmable Information Processing With Reconfigurable Self-Contact Variable Stiffness Mechanical Metamaterial.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- A Sustainable Organic Memristor with Tunable Switching for Logic Operations and Medical Image Encryption.Small (Weinheim an der Bergstrasse, Germany) · 2026Article
- A pseudo-dynamic paradigm for reprogramming domain-wall-lattices in architected solids.Nature communications · 2026Article
- Reprogrammable metamaterial robot with embodied versatile computation and mechanical intelligence.Nature communications · 2026Article
- Light-programmable mechanical computing via polyaniline composite film.Nature communications · 2026Article
- Embodying physical computing into soft robots.Nature communications · 2026Review
- Rotary Electromechanical System Integrating Non-Reciprocal Memory and Combinational Logic.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- Physical Intelligence in Small-Scale Robots and Machines.Advanced materials (Deerfield Beach, Fla.) · 2026Review
- Multi-Instably Mechanical Systems for Computing-Storing Functions.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- General-purpose mechanical computing enabled by origami circuit reconfiguration with robotic addressing and activation.Nature communications · 2025Article
- Spatially programmable origami networks enable high-density mechanical computing for autonomous robotics.Nature communications · 2025Article
- A kinematically Bifurcated Metamaterial for Integrated Logic Operation and Computing.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025Article
- Programmable Metamaterials with Perforated Shell Group Supporting Versatile Information Processing.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025Article
- Exotic mechanical properties enabled by countersnapping instabilities.Proceedings of the National Academy of Sciences of the United States of America · 2025Article
- Enhancing haptic continuity in virtual reality using a continuity reinforcement skeleton.Nature communications · 2025Article
- Bistable Soft Shells for Programmable Mechanical Logic.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025Article
- Mechanical Neural Networks with Explicit and Robust Neurons.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2024Article
- Stress guides in generic static mechanical metamaterials.National science review · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Mechanical computing requires matter to adapt behavior according to retained knowledge, often through integrated sensing, actuation, and control of deformation. However, inefficient access to mechanical memory and signal propagation limit mechanical computing modules. To overcome this, we developed an in-memory mechanical computing architecture where computing occurs within the interaction network of mechanical memory units. Interactions embedded within data read-write interfaces provided function-complete and neuromorphic computing while reducing data traffic and simplifying data exchange. A reprogrammable mechanical binary neural network and a mechanical self-learning perceptron were demonstrated experimentally in 3D printed mechanical computers, as were all 16 logic gates and truth-table entries that are possible with two inputs and one output. The in-memory mechanical computing architecture enables the design and fabrication of intelligent mechanical systems.
Identifiers
What OpenQuestion holds
Registered trials
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.