Advancing Mechanical Computing: Modular Design and Multi‐Dimensional Signal Transmission

Advanced Materials Technologies, Год журнала: 2025, Номер unknown

Опубликована: Янв. 21, 2025

Abstract Mechanical computing, while not poised to replace electronic presents a complementary solution in areas where systems face challenges like high power consumption and environmental vulnerability. Despite the inherent limitations of mechanical speed, size, functional scalability, their unique 2D 3D geometries offer multi‐dimensional signal transmission non‐volatile logic potentially enhancing computational density. However, lack advanced modular design strategies for complex has hindered progress computing. This study introduces top‐down approach computing using multi‐output gates designed with square lattices bistable beams, addressing scalability through that facilitates assembly circuits. innovation only enhances density but also reduces system offering new avenues research fields soft robotics active metamaterials, setting stage advances systems.

Язык: Английский

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Temperature‐Driven Topological Transformations in Prestressed Cellular Metamaterials

Advanced Functional Materials, Год журнала: 2025, Номер unknown

Опубликована: Янв. 26, 2025

Abstract Stimuli‐responsive materials are able to alter their physicochemical properties, e.g., shape, color, or stiffness, upon exposure an external trigger, heat, light, humidity, exhibiting environmental adaptability. Their capacity undergo shape reconfiguration, pattern transformation, and property modulation enables multifunctionality. In this work, two strategies harnessed, i.e., prestressed assembly temperature‐dependent stiffness reversal, introduce a class of temperature‐responsive metamaterials capable undergoing topological transformations, endowing them with smart functionality. Through combination mechanics theory, numerical simulations, thermomechanical experiments, the physical mechanisms underlying temperature‐triggered transformations leading switches first elucidated, then insights leveraged demonstrate tunable bandgaps robotic capturers. These findings reveal attainment giant negative positive values coefficient thermal expansion, accompanied by isotropic expansion shrinkage under actuation within fairly rapid timeframe, below 6 s. The strategy here presented is versatile as it relies on pair off‐the‐shelf 3D printable materials, can be up‐ down‐scaled, also realized through other stimuli, light moisture, paving way for use in multifunctional applications, including stimulus‐triggered morphing devices, autonomous sensors actuators, reconfigurable soft robots.

Язык: Английский

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Origami metamaterial biomimetic bouquets expand floriography to spatiotemporal 4D

Cell Reports Physical Science, Год журнала: 2024, Номер 5(4), С. 101921 - 101921

Опубликована: Апрель 1, 2024

Mechanical metamaterials have demonstrated their potential as programmable structural materials with tailorable deformative responses. The existing mechanical exhibited to mimic certain flowers; however, it is of interest expand the mimicry from morphological imitation in spatial dimension (i.e., unchangeable over time) multifunctional biomimicry spatiotemporal dimension. Here, we report origami metamaterial biomimetic bouquets that combine information processing time for floriography 4D. not only key characteristics lily's growing process bud and bloom) but, more innovatively, also traditional time-independent expression species, color, quantity) fourth changeable status through binary digital abstraction. This research opens a horizon bio-inspired intelligent devices systems rationally designing assembling new-generation metamaterials.

Язык: Английский

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Reprogrammable and reconfigurable mechanical computing metastructures with stable and high-density memory

Science Advances, Год журнала: 2024, Номер 10(26)

Опубликована: Июнь 26, 2024

Mechanical computing encodes information in deformed states of mechanical systems, such as multistable structures. However, achieving stable memory most systems remains challenging and often limited to binary information. Here, we report leveraging coupling kinematic bifurcation rigid cube-based mechanisms with elasticity create transformable, metastructures stable, high-density memory. Simply stretching the planar metastructure forms a corrugated platform. It allows for independent or magnetic actuation individual bistable element, serving pop-up voxels display units various tasks writing, erasing, reading, encryption, mechanologic computing. Releasing pre-stretched strain stabilizes prescribed information, resistant external perturbations, whereas re-stretching enables editable memory, akin selective zones disk formatting erasure rewriting. Moreover, platform can be reprogrammed transformed into multilayer configuration achieve

Язык: Английский

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Negative refraction of elastic waves in two-dimensional inertial amplification metamaterials

International Journal of Mechanical Sciences, Год журнала: 2024, Номер 273, С. 109325 - 109325

Опубликована: Апрель 25, 2024

Язык: Английский

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Cage-shaped self-folding mechanical metamaterials

International Journal of Solids and Structures, Год журнала: 2023, Номер 286-287, С. 112560 - 112560

Опубликована: Ноя. 7, 2023

Язык: Английский

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Triboelectrically self-sensing mechanical metamaterials for smart mechanical equipment

Nano Energy, Год журнала: 2024, Номер 126, С. 109686 - 109686

Опубликована: Май 3, 2024

Язык: Английский

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Mechanical Neural Networks with Explicit and Robust Neurons

Advanced Science, Год журнала: 2024, Номер 11(33)

Опубликована: Июнь 19, 2024

Mechanical computing provides an information processing method to realize sensing-analyzing-actuation integrated mechanical intelligence and, when combined with neural networks, can be more efficient for data-rich cognitive tasks. The requirement of solving implicit and usually nonlinear equilibrium equations motion in training networks makes computation challenging costly. Here, explicit neuron is developed which the response directly determined without need equations. A proposed ensure robustness neuron, i.e., insensitivity defects perturbations. explicitness neurons facilitate assembly various network structures. Two exemplified a robust convolutional recurrent long short-term memory capabilities associative learning, are experimentally demonstrated. introduction streamlines design fulfilling robotic matter level intelligence.

Язык: Английский

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Programmable Shape‐Preserving Soft Robotics Arm via Multimodal Multistability

Advanced Functional Materials, Год журнала: 2024, Номер unknown

Опубликована: Авг. 29, 2024

Abstract Inflatable multistable materials have significantly advanced the design of shape‐preserving soft robotic arms, offering substantial benefits in terms shape adaptability, energy efficiency, and safety, ensuring operational reliability even event sudden power loss. However, existing strategies for realizing arms often limit themselves to a single mode multistability, commonly with rotationally symmetric designs favoring extension stability asymmetric inducing bending stability. To address limitation, this study introduces pioneering platform termed multimodal multistability that utilizes geometrical frustration. A cylindrical cell, designed bistability, could achieve frustrated states by controlling cell multiple degrees freedom incorporated pneumatic actuator. This extends spectrum attainable stable trajectories while preserving essential attributes such as load‐bearability, programmability, reversibility changes. Leveraging system four pressure control, not only enables capturing previously unexplored configurations mechanical metastructures but also allows control their deformation modes. With applications spanning space exploration, medical instruments, rescue missions, promises unparalleled flexibility efficiency operation robots.

Язык: Английский

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Bistable Soft Shells for Programmable Mechanical Logic

Advanced Science, Год журнала: 2024, Номер unknown

Опубликована: Дек. 6, 2024

Abstract Mechanical computing promises to integrate semiconductor‐based digital logic in several applications, but it needs straightforward programmable devices for changing rules situ. A methodology based on strain‐governed, bistable soft shells that process information by interchanging their internal/external surfaces is proposed. This behavior, explained via model‐based design, safeguards robustness working only once each input pulse. Thus, these are leveraged create a buffer and NOT gate lead six fundamental gates (AND, OR, NAND, NOR, XOR, XNOR). All functions integrated into unique device, making mechanically circuits more adaptable with rule‐changeable operations. design ensures continuous processes general applicability multiple types of signals (a pressurized fluid can replace mechanical driving shown). It also empowers complex suitable expanded such as the half full adders addressed.

Язык: Английский

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