Results 51 to 60 of about 763 (210)
Deriving task specific performance from the information processing capacity of a reservoir computer
In the reservoir computing literature, the information processing capacity is frequently used to characterize the computing capabilities of a reservoir.
Hülser Tobias +3 more
doaj +1 more source
A fully organic UV threshold dosimeter is developed by exploiting the oxygen‐sensitive room‐temperature phosphorescence of a purely organic emitter in a polymer matrix. Upon reaching a specific cumulative UV dose, photochemical oxygen depletion triggers a sharp, high‐contrast emission.
Tim Achenbach +3 more
wiley +1 more source
Compact reservoir computing with a photonic integrated circuit
Photonic reservoir computing is a new paradigm for performing high-speed prediction and classification tasks in an efficient manner. The major challenge for the miniaturization of photonic reservoir computing is the need for the use of photonic integrated circuits.
Kosuke Takano +6 more
openaire +2 more sources
Turning Water Into a Tool: From Degradation Pathways to Functional Engineering in Halide Perovskites
Water exhibits a threshold‐dependent dual role in lead halide perovskites, acting either as a degradation trigger or as a powerful tool for defect passivation, recrystallization, and structural engineering. This review discusses how controlled water‐mediated interactions govern stability, dimensionality, and optoelectronic performance, providing ...
Raphaella T. S. Gonçalves +4 more
wiley +1 more source
An in situ integrated TiO2/SiOx/Al2O3 synaptic phototransistor couples ultraviolet and electrical stimuli within a scalable, CMOS‐compatible oxide stack. Multimodal plasticity, spike‐timing‐dependent learning, and bee‐inspired associative conditioning are achieved through trap‐mediated temporal dynamics.
Youngbin Yoon +5 more
wiley +1 more source
Ferroelectric Devices for In‐Memory and In‐Sensor Computing
Inspired by biological systems, in‐memory and in‐sensor computing overcome von Neumann bottlenecks. Ferroelectric devices can mimic synaptic functions and sense stimuli like light or force, therefore are ideal for these paradigms. This review introduces the ferroelectric devices applied for in‐memory and in‐sensor computing, covering their structures ...
Hong Fang +5 more
wiley +1 more source
A reservoir‐guided silver‐nanoparticle soldering strategy is developed for bending‐resistant 3D graphene–metal heterojunctions. Controlled hot‐plate evaporation confines conductive ink within the metal reservoir, suppressing spreading and protecting the LIG interface from deformation‐induced fracture.
Saeyoung Park +5 more
wiley +1 more source
Time-series forecasting with multiphoton quantum states and integrated photonics
Quantum machine learning algorithms have very recently attracted significant attention in photonic platforms. In particular, reconfigurable integrated photonic circuits offer a promising route, thanks to the possibility of implementing adaptive feedback ...
Rosario Di Bartolo +6 more
doaj +1 more source
Experimental investigation of time series classification using a self-pulsing microring resonator network [PDF]
Photonic neuromorphic computing offers compelling advantages in power efficiency and parallel processing, but it often falls short in realizing scalable nonlinearity and long-term memory.
Alessandro Foradori +3 more
doaj +1 more source
WS2‐based in‐memory sensing reservoir computing integrates sensing, memory, and computation in one compact device. It achieves ∼94% N‐MNIST, ∼93% eye motion perception, and ∼89% speech recognition with ultra‐low energy (∼25.5 fJ/spike). The system shows stability at 95% humidity, endurance over 1.5M cycles, and supports synaptic plasticity, enabling ...
Dayanand Kumar +9 more
wiley +1 more source

