Results 211 to 220 of about 10,239,244 (295)

Retinomorphic Visual Processing Enabled by Contact‐Engineered IGZO Optoelectronic Synaptic Memtransistors

open access: yesAdvanced Science, EarlyView.
Here, we present an optoelectronic synaptic memtransistor (OSMT) integrating photoresponsive IGZO with contact‐engineered HfO2, enabling electrically and optically tunable synaptic weights. The device demonstrates broad range of tunable conductance states and array‐level image processing, highlighting its potential for intelligent machine vision ...
Donghyun Kang   +6 more
wiley   +1 more source

Analog neural network-based wireless receiver. [PDF]

open access: yesSci Adv
He C   +5 more
europepmc   +1 more source

Radiation Resilient Synthetic Antiferromagnets‐Based Neuromorphic Device for Sea Surface Temperature Reconstruction

open access: yesAdvanced Science, EarlyView.
By leveraging strong antiferromagnetic coupling, radiation‐tolerant synthetic antiferromagnetic synaptic devices are developed. Their intrinsic nonlinearity emulates neuronal activation, while linear and symmetric conductance modulation mimics synaptic plasticity.
Mingxu Song   +5 more
wiley   +1 more source

Multiscale modelling of birth-death processes. [PDF]

open access: yesJ Math Biol
Kimpson T   +3 more
europepmc   +1 more source

Non‐Line‐of‐Sight Passive Ammonia Sensor Loaded With MXene/In2O3 Composites for Agricultural Products Quality Deterioration Detection

open access: yesAdvanced Science, EarlyView.
This study presents a flexible, battery‐free passive RFID sensing platform for NLoS monitoring of quality deterioration in fresh agricultural products. It utilizes a structurally decoupled spiral antenna‐LC electrode architecture to suppress electromagnetic interference caused by packaging.
Guoping Hu   +4 more
wiley   +1 more source

Physics‐Guided Descriptors Enable Data‐Efficient Prediction of Battery Coulombic Efficiency

open access: yesAdvanced Science, EarlyView.
This work integrates multiscale simulations with data‐driven approaches to predict Coulombic efficiency (CE). Multiscale simulations of battery systems are performed to extract Physics‐Guided descriptors and construct a dataset. Machine learning models trained on this dataset are then subjected to interpretable analysis to identify the most influential
Qintao Sun   +9 more
wiley   +1 more source

Home - About - Disclaimer - Privacy