Results 111 to 120 of about 5,838,381 (260)
Spatiotemporal Computational Meta‐Imager for Broadband Dual‐Layer Optical Convolution
A single‐layer polarization‐multiplexed meta‐imager achieves factorized dual‐layer broadband convolution via spatiotemporal kernel decomposition. Fixed Bessel‐vortex bases and time‐sequential liquid‐crystal modulation deliver tunable signed weights and in‐situ fabrication‐error compensation. Experiments verify improved classification performance across
Mengguang Wang +6 more
wiley +1 more source
Interfacial nitrile dipoles unlock tunable memory in organic synaptic transistors through competing polarization and relaxation. Their finite time dynamics are directly harnessed for acoustic reservoir computing, delivering 97.17% spoken digit recognition, reliable speech emotion and snoring recognition, and an ultralow event energy of only 50 aJ ...
Yutian Liu +13 more
wiley +1 more source
Simple flat Leavitt path algebras are von Neumann regular
For a unital ring, it is an open question whether flatness of simple modules implies all modules are flat and thus the ring is von Neumann regular. The question was raised by Ramamurthi over 40 years ago who called such rings SF-rings (i.e.
Ambily, Ambattu A. +2 more
core +1 more source
Watching the Interplay between Photoinduced Ultrafast Charge Dynamics and Nuclear Vibrations. [PDF]
Buttarazzi E +3 more
europepmc +1 more source
Highly Linear Perovskite Synapses for Neuromorphic Computing
Voltage spikes applied to an Au/ACI‐phase perovskite/ITO memristor emulate the ionic signaling of a biological synapse, generating a tunable postsynaptic current. The vertically aligned perovskite film confines iodide‐vacancy migration, enabling highly linear, and symmetric conductance updates with 100 states and 5.5 aJ per event. Such synapses sustain
Zhongwen Sun +7 more
wiley +1 more source
Stochastic‐MTJ Sampler Arrays for In‐Array Monte–Carlo Estimation
A low‐energy‐barrier magnetic tunnel junction array is operated as a probability‐domain sampler: each cell's random switching, programmed through a shared digital‐to‐analog converter, makes the per‐column multiply–accumulate an unbiased Monte–Carlo expectation estimator that returns both a mean and a calibrated uncertainty.
Ran Zhang +6 more
wiley +1 more source
Subanillos reticulados convexos de f-anillos von Neumann regulares [PDF]
El propósito de este artículo es caracterizar los subanillos convexosde los f-anillos von Neumann regulares. Estos son los f-anillos reducidos,proyectables y que satisfacen la propiedad de convexidad, i.e.: para todo a, b,si 0 a b entonces b divide a ...
Guier, Jorge I.
core
On groupoid graded von Neumann regular rings and a Brandt groupoid graded Leavitt path algebras
Let $S$ be a partial groupoid, that is, a set with a partial binary operation. An $S$-graded ring $R$ is said to be graded von Neumann regular if $x\in xRx$ for every homogeneous element $x\in R.$ Under the assumption that $S$ is cancellative, we ...
Ilić-Georgijević, Emil
core
A Dual‐Branch Flux‐Based Extended Memristor Model With Machine‐Learning‐Assisted Calibration
Multilayer oxide memristors integrated in crossbar arrays are described through a dual‐branch, flux‐controlled compact model. A three‐stage calibration workflow combining Latin hypercube sampling, Bayesian optimization, and gradient‐based refinement extracts device parameters from experimental data.
Davide Rossetti +6 more
wiley +1 more source
Oxygen‐scavenging‐induced self‐formed interlayers regulate Schottky‐barrier modulation in IGZO memristors, producing a fundamental trade‐off between synaptic update linearity and retention. A preserved AlOx interlayer moderates voltage distribution and enables gradual, nearly linear conductance updates, whereas a soft‐broken SiO2 interlayer provides a ...
Jae Woo Lee +11 more
wiley +1 more source

