Results 141 to 150 of about 491 (232)
Memristive Physical Reservoir Computing
Advanced Science, Volume 13, Issue 33, 15 June 2026.Memristors’ nonlinear dynamics and input‐dependent memory effects make them ideal candidates for high‐performance physical reservoir computing (RC). Based on their conductance modulation, memristors can be classified as electronic or optoelectronic types.
Dian Jiao +9 more
wiley +1 more source
Exploration, Volume 6, Issue 3, June 2026.Nanofluidic biosensors employing in‐plane, out‐of‐plane, and free‐plane architectures transduce biomolecular information into fluidic signals through nanoscale manipulation of confined fluids, offering a quantitative and highly sensitive platform for biochemical detection. ABSTRACT Nanofluidics, the study of fluid transport confined within nanochannels
Qun Ma, Yan Xu
wiley +1 more source
Quasi‐digital memristor with self‐rectifying and synaptic functions in crossbar array architectures
FlexMat, Volume 3, Issue 2, Page 331-340, June 2026.The text should be different from the abstract text. A self‐rectifying quasi‐digital memristor (QDM) featuring a well‐defined p‐AgI/n‐PbI2 heterojunction is developed. It monolithically integrate diode‐like rectification, digital switching, and analog plasticity.
Tianyu Liu +11 more
wiley +1 more source
Wide‐Bandgap Semiconductor‐Based Neuromorphic Computing
Information &Functional Materials, Volume 3, Issue 2, Page 66-100, June 2026.Wide‐bandgap semiconductors enable robust, low‐power neuromorphic devices for extreme environments. This review outlines material advantages, device physics, integration, and future directions for next‐generation brain‐inspired computing. ABSTRACT Neuromorphic computing has emerged as a promising paradigm to overcome the energy inefficiency and data ...
Hongyu Tang +6 more
wiley +1 more source
Principle and Application of Frequency-Domain Characteristic Analysis of Fractional-Order Memristor. [PDF]
Micromachines (Basel), 2022 Yu B, Pu Y, He Q, Yuan X.
europepmc +1 more source
InfoMat, Volume 8, Issue 6, June 2026.Lead‐free inorganic halide perovskites enable resistive switching synaptic devices capable of mimicking biological learning and multimodal information processing, offering a promising platform for next‐generation neuromorphic computing and artificial intelligence hardware. Abstract Inorganic halide perovskites (IHPs) have emerged as promising materials
Subhasish Chanda +7 more
wiley +1 more source
A study on non-linear behavior of memristor emulator using multisim
, 2019 A Memristor (memory resistor) is a two terminal non-linear passive element used to relate magnetic flux with respect to electric charge. A Memristor opposes the flow of electric current across a device like a resistor but also remember the last charge ...
B, Rajesh +3 more
core
Retention Secured Nonlinear and Self-Rectifying Analog Charge Trap Memristor for Energy-Efficient Neuromorphic Hardware. [PDF]
Adv Sci (Weinh), 2023 Kim G +7 more
europepmc +1 more source
Small Structures, Volume 7, Issue 6, June 2026.In this review article, we have highlighted molecular engineering of spacer cations, the transition from ionic/filamentary to polarization‐driven ferroelectric resistive switching, key state‐of‐the‐art device demonstrations, and the future outlook. Together, these elements illustrate how dimensional control in low‐dimensional hybrid‐halide perovskites ...
Ranita Samanta +4 more
wiley +1 more source
The Next Chapter of Human‐Like Tactile Perception: Neural Decoding to Embodied Intelligence
SmartSys, Volume 2, Issue 2, June 2026.ABSTRACT The field of tactile perception is transitioning from phenomenological analysis to integrated application and creation. To develop intelligent and embodied tactile capabilities, it is necessary to move beyond the traditional view of touch as a passive input channel and instead understand it as an active closed‐loop computational process.
Longwei Li +5 more
wiley +1 more source