Current Issue : October-December Volume : 2026 Issue Number : 4 Articles : 6 Articles
This study proposes a metasurface integrated reconfigurable unit-cell coupler designed for wireless power transfer (WPT) applications in unmanned aerial vehicles (UAVs). In nearfield capacitive WPT systems, flexible UAV charging is restricted by rotational misalignment, which causes null power points (NPP) where energy transfer is suppressed. To address this, the proposed model emulates 1-bit digital coding states through Symmetric Excitation (SE) and Cross-Excitation (CE) states. Since precise unit-cell characterization is a prerequisite for array expansion, this research focuses on meta-atom-level analysis at 6.78 MHz with a deep sub-wavelength profile (0.002λ). Characterized through 3D full-wave analysis, the unit-cell achieves peak transmission coefficients of 0.945 for SE State and 0.903 for CE State. Crucially, these states exhibit complementary extinction angles at 90◦ and 45◦, respectively, ensuring that the NPP of one state is effectively bypassed by the high transmissivity of the other. This dynamic switching between coding states maintains stable power transfer across a full 360◦ rotation, providing a technical foundation for scalable, intelligent metasurface-based wireless charging platforms....
This paper investigates an RIS-assisted mobile edge computing (MEC) system without reliable direct links between users and base stations (BSs). Users offload tasks to BSs through reconfigurable intelligent surface (RIS)-reflected links, where offloading decisions, service prices, and RIS-assisted transmission quality are tightly coupled. We formulate a joint design problem that considers task latency, transmission energy consumption, service pricing, BS computing constraints, and RIS phase-shift constraints. The RIS phase shifts are first optimized to improve the effective cascaded channel gain. Then, a distributed price-negotiation-based offloading mechanism is developed to coordinate user association and service pricing under channel-dependent utilities. Analysis and simulations show that the proposed algorithm converges within a finite number of iterations and achieves a balanced tradeoff between user utility and BS revenue....
Analog computing metasurface offers significant advantages, including ultrafast computation, low power consumption, and parallel processing of data, thereby presenting a promising pathway toward the realization of a compact and integrated ultrafast all‐optical information processing system. However, existing designs can only toggle between computing and noncomputing modes, falling short of achieving truly reconfigurable analog computing function. In this work, a reconfigurable transmissiontype analog computing metasurface based on the electro‐optic material thin film lithium niobate is demonstrated in the telecommunication band, aiming to flexibly control the operation functions. Through the dynamic regulation of the external voltages applied to individual structure units, the device transitions its function from first‐order differentiation to either secondorder differentiation or integration operations. The results indicate that the spatial transfer functions can be precisely engineered to meet the requirements for ideal differentiation and integration operations. This methodology facilitates high‐precision spatial signal processing, as validated by inspecting Gaussian signals. Furthermore, the theoretical evaluation based on rectangular signal and complex letter pattern inputs establishes the spatial edge detection resolution of approximately 10 μm for the secondorder differentiation operation. The reconfigurable lithium niobate metasurface signal processor demonstrates considerable potential for applications in fields such as remote sensing and high‐speed image processing....
Highly scalable reconfigurable neuromorphic devices are critical for addressing continual-learning challenges in artificial intelligence. However, the scalability of existing reconfigurable devices is severely constrained by limited operating margins and insufficient process maturity. Here, we propose selector-only memory (SOM) as a scalable device candidate. Its volatile threshold switching and programmable nonvolatile threshold window are operationally decoupled, and it is compatible with in-line fabrication and 3D stacking. We demonstrate an In-doped GeSe SOM that enables neuron–synapse reconfigurability within a single cell. By leveraging intrinsic parasitic capacitance, we implement a capacitor-free leaky integrate-and-fire neuron and validate all-or-none firing, integrate-and-fire dynamics, and input-controlled firing-rate modulation using experiments and an equivalent model. For synapses, we propose a one-shot subthreshold-conductance readout method. With a unified reversesubthreshold pulse scheme, 16 programmed conductance states are obtained through one-shot subthreshold readout, and most states remain distinguishable over 104 s. Finally, SOM-parameter-based simulations on a Growing-When-Required MNIST task achieve 2.67 × higher accuracy with 70% of the nodes and shrink to 58% after rollback. These results indicate that SOM provides a promising selector-derived device concept for scalable reconfigurable neuromorphic hardware....
Chemical and physical computing systems promise information processing in performance regimes inaccessible to conventional electronics. However, they are typically constrained by static hardware architectures that limit adaptability and computational richness. Here, we introduce a reconfigurable microfluidic platform where soft hydrogel structures are 3D-printed and erased in situ to dynamically reshape the physical environment in which chemical computation occurs. By treating microfluidic geometry as an active, programmable element rather than a passive container, we demonstrate hardware-reconfigurable control over chemical information processing. We demonstrate switchable Deoxyribonucleic acid (DNA) logic gates that alternate between AND and OR functionality without modifying the underlying reaction network, decoupling logic function from molecular composition. Extending this to a non-equilibrium chemical reaction network in the form of a feedback-controlled pH oscillator,we demonstrate that printed structures steer reaction kinetics and spatial pattern formation, giving rise to geometry-dependent spatiotemporal states. Leveraging these dynamics, we implement a physical reservoir computer in which reconfigurable microfluidic hardware enables the realization of diverse nonlinear functions through simple linear readout. Our work establishes reconfigurable soft microfluidic hardware as a control layer for chemical computation, highlighting how adaptable physical environments actively expand the computational state space of chemical software....
All-optical information processing, featuring ultrafast response and immunity to electromagnetic interference, plays a pivotal role in future communications and computing technologies. Graphene, with its exceptional nonlinear optical properties and mechanical flexibility, emerges as an ideal candidate for flexible photonic devices. However, graphene-based photonic components are typically functionally fixed and lack dynamic reconfigurability. Here, we integrate graphene with polydimethylsiloxane (PDMS) to fabricate a flexible graphene/PDMS composite and investigate its spatial self-phase modulation (SSPM) effect under mechanical strain. Our results demonstrate that the nonlinear optical response of the composite can be dynamically tuned by strain. Under 532 nm laser excitation (intensity 35 W/cm2 ), increasing the tensile strain from 0% to 40% continuously suppresses the number of SSPM diffraction rings from 8 to 0, while accompanied by a reduction in the third-order nonlinear susceptibility 𝜒(3) monolayer from 1.357 × 10− 7 to 6.125 × 10− 8 e.s.u. This tunable SSPM effect originates from strain-induced modifications in both the effective number of optically interacting layers and the electronic band structure of graphene. Leveraging this mechanism, we further designed a strain-gated optical switch and reconfigurable optical logic gates, enabling flexible switching between “OR” and “AND” gates. This work opens new avenues for graphene-based tunable nonlinear photonic devices....
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