Results 231 to 240 of about 1,338,246 (278)
Hybrid Quantum-Classical Algorithm for Robust Optimization via Stochastic-Gradient Online Learning. [PDF]
Lim D, Doriguello JF, Rebentrost P.
europepmc +1 more source
Planar Ag/MAPbI3 thin single‐crystal halide perovskite devices show ultralow dark current and optically tunable threshold switching. Illumination enhances the polarity‐dependent hysteresis and shifts the switching voltage, whereas temperature‐dependent measurements reveal thermally activated, contact‐limited transport, underscoring the central role of ...
Ofelia Durante +16 more
wiley +1 more source
An attention‐based multimodal deep learning framework is developed to predict the creep life of Ni‐based superalloys by fusing processing parameters with microstructural micrographs. The model achieves high accuracy (R2 = 0.92), aligns with metallurgical principles by capturing δ‐phase influence, and incorporates uncertainty quantification, offering a ...
Haopeng Lv +10 more
wiley +1 more source
New adaptive memory stochastic fractional operators and their applications in computational intelligence. [PDF]
Khan TU, Al-Juaid BS, Markarian C.
europepmc +1 more source
Battery‐Inspired Electrochemical Synapses for Neuromorphic Applications
Battery‐ion‐inspired synaptic devices integrate diverse electrolyte systems (solid, ion‐gel, liquid) with transition metal oxides, two‐dimensional materials, and organic channels to regulate ion‐electron coupling. By tailoring ion transport and host interactions, these platforms enable controllable plasticity and energy‐efficient implementations for ...
Won Woo Lee +6 more
wiley +1 more source
Identifiable learning of dissipative dynamics. [PDF]
Zhu A, Soh BW, Pavliotis GA, Li Q.
europepmc +1 more source
Vision begins not with images but with change: the retina fires only when something moves, handing the brain a stream of spikes. A neuromorphic imaging system adopts the same strategy—an event sensor that sees like the retina, a spiking network that thinks like the brain—to track and reconstruct fully randomly moving targets through tissue (phantom ...
Ning Zhang, Arto Nurmikko
wiley +1 more source
Gradient Systems and Asymmetric Relaxations in View of Riemannian Geometry. [PDF]
Bravetti A +2 more
europepmc +1 more source
Neuromorphic Devices and Computing for Sensing, Memory, and Control
This review introduces neuromorphic devices made from diverse materials. These devices mimic neuronal functions and architectures and, when integrated with artificial or biological computing, can form closed loops with neurons for pressure, optical, acoustic, and biochemical sensing and modulation.
Zhengguang Zhu +2 more
wiley +1 more source

