Results 151 to 160 of about 48,451 (258)

Fundamental Challenges, Physical Implementations, and Integration Strategies for Ising Machines in Large‐Scale Optimization Tasks

open access: yesAdvanced Electronic Materials, EarlyView.
Ising machines are emerging as specialized hardware solvers for computationally hard optimization problems. This review examines five major platforms—digital CMOS, analog CMOS, emerging devices, coherent optics, and quantum systems—highlighting physics‐rooted advantages and shared bottlenecks in scalability and connectivity.
Hyunjun Lee, Joon Pyo Kim, Sanghyeon Kim
wiley   +1 more source

Photoresponsive Rotaxanes Switch Lipid Bilayer Neuromorphic Behavior with Light

open access: yesAdvanced Electronic Materials, EarlyView.
A rotaxane consisting of a macrocycle ring with two azobenzene units mechanically interlocked onto an amphiphilic axle was incorporated into droplet interface bilayers (DIBs). Photoswitching between the azobenzene configurations on the ring resulted in cycling between memristive and memcapacitive behaviors in lipid bilayers, enabling programmable ...
P.T. Podar   +4 more
wiley   +1 more source

Linear Temporal Logic (LTL) Based Monitoring of Smart Manufacturing Systems. [PDF]

open access: yesProc Annu Conf Progn Health Manag Soc, 2015
Heddy G   +6 more
europepmc   +1 more source

Aging and Electrical Stability of DNTT Honey‐Gated OFETs

open access: yesAdvanced Electronic Materials, EarlyView.
DNTT honey‐gated organic transistors were fabricated and evaluated to assess short‐ and long‐term stability under electrical stress and aging. Short‐term transfer measurements (five days, 40 sweeps/day) showed minimal parameter shift, while extended measurements revealed gradual degradation over weeks.
Douglas H. Vieira   +8 more
wiley   +1 more source

Aligning statistical models with inference goals in the neuroscience of language: A dual-dependency taxonomy. [PDF]

open access: yesImaging Neurosci (Camb)
Bouton S   +5 more
europepmc   +1 more source

Emerging Memory and Device Technologies for Hardware‐Accelerated Model Training and Inference

open access: yesAdvanced Electronic Materials, EarlyView.
This review investigates the suitability of various emerging memory technologies as compute‐in‐memory hardware for artificial intelligence (AI) applications. Distinct requirements for training‐ and inference‐centric computing are discussed, spanning device physics, materials, and system integration.
Yoonho Cho   +6 more
wiley   +1 more source

Ferroelectric nanodot reservoir for neuromorphic computing. [PDF]

open access: yesBeilstein J Nanotechnol
Razumnaya A   +5 more
europepmc   +1 more source

Synchronization of Analog Neuron Circuits With Digital Memristive Synapses: An Hybrid Approach

open access: yesAdvanced Electronic Materials, EarlyView.
An hybrid circuit mimicking neural units coupled using memristive synapses is introduced. The analog neurons provide flexibility and robustness, and the digital memristive coupling guarantees the full reconfigurability of the interconnection. The onset of a synchronized spiking behavior in two circuits mimicking the Izhikevich neuron is discussed from ...
Lamberto Carnazza   +3 more
wiley   +1 more source

Causal dynamic decision-making for robotic systems in non-Markovian high-difficulty surgery. [PDF]

open access: yesFront Neurol
Na G   +7 more
europepmc   +1 more source

In Situ Measurement of Oxygen Vacancy Dynamics and Surface Exchange Reactions in Oxide Electrode under Solid Electrochemical Cell Operating Conditions

open access: yesAdvanced Energy Materials, EarlyView.
This study establishes an in situ electrochemical framework using dense bulk electrodes to identify defect chemistry and surface kinetics. While oxygen vacancy concentration is derived via bias modulation, surface exchange coefficients are quantified at open circuit voltage conditions to isolate kinetics.
Taeyun Kim   +5 more
wiley   +1 more source

Home - About - Disclaimer - Privacy