Results 111 to 120 of about 37,924 (271)

Bio‐Inspired Multimodal Hardware Front‐End Enabled by 2D Floating‐Gate Memory for UAV Perception

open access: yesAdvanced Functional Materials, EarlyView.
A MoS2/h‐BN /graphene floating‐gate memory underpins a bio‐inspired multimodal front end that integrates visual, inertial, and airflow cues. A 4 × 4 FG memory array encodes temporal intensity differences, while IMU‐ and airflow‐driven threshold modulation suppresses self‐motion artifacts, enabling fast, low‐power, robust autonomous UAV tracking and ...
Lianghao Guo   +11 more
wiley   +1 more source

Efficient Hardware Implementation of a Multi-Layer Gradient-Free Online-Trainable Spiking Neural Network on FPGA

open access: yesIEEE Access
This paper presents an efficient hardware implementation of the recently proposed Optimised Deep Event-driven Spiking Neural Network Architecture (ODESA).
Ali Mehrabi   +4 more
doaj   +1 more source

Thermal Processing Creates Water‐Stable PEDOT:PSS Films for Bioelectronics

open access: yesAdvanced Materials, Volume 37, Issue 13, April 2, 2025.
Instead of using chemical cross–linkers, it is shown that PEDOT:PSS thin films for bioelectronics become water‐stable after a simple heat treatment. The heat treatment is compatible with a range of rigid and elastomeric substrates and films are stable in vivo for >20 days.
Siddharth Doshi   +16 more
wiley   +1 more source

Ferroelectric Quantum Dots for Retinomorphic In‐Sensor Computing

open access: yesAdvanced Materials, EarlyView.
This work has provided a protocol for fabricating retinomorphic phototransistors by integrating ferroelectric ligands with quantum dots. The resulting device combines ferroelectricity, optical responsiveness, and low‐power operation to enable adaptive signal amplification and high recognition accuracy under low‐light conditions, while supporting ...
Tingyu Long   +26 more
wiley   +1 more source

Reinforced liquid state machines—new training strategies for spiking neural networks based on reinforcements

open access: yesFrontiers in Computational Neuroscience
IntroductionFeedback and reinforcement signals in the brain act as natures sophisticated teaching tools, guiding neural circuits to self-organization, adaptation, and the encoding of complex patterns.
Dominik Krenzer   +3 more
doaj   +1 more source

Bioinspired Adaptive Sensors: A Review on Current Developments in Theory and Application

open access: yesAdvanced Materials, EarlyView.
This review comprehensively summarizes the recent progress in the design and fabrication of sensory‐adaptation‐inspired devices and highlights their valuable applications in electronic skin, wearable electronics, and machine vision. The existing challenges and future directions are addressed in aspects such as device performance optimization ...
Guodong Gong   +12 more
wiley   +1 more source

Transient Charging of Mixed Ionic‐Electronic Conductors by Anomalous Diffusion

open access: yesAdvanced Materials, EarlyView.
This article explores charge transport in mixed ionic‐electronic conductors (MIECs) through electrochemical impedance spectroscopy and transient current analysis. Focusing on PEDOT:PSS, WO3, and n‐doped PBDF, it uncovers the impact of anomalous diffusion via fractional modeling. The study reveals key correlations that deepen understanding and guide the
Heyi Zhang   +9 more
wiley   +1 more source

Light‐Driven Reconfigurable Logic in a Monolithic Perovskite Device via Nonlinear Photoresponse Switching

open access: yesAdvanced Materials, EarlyView.
This study demonstrates a monolithic perovskite OELG device that performs all eight logic operations, including XOR and XNOR, without external bias. Enabled by trap‐engineered MAPbI3:PLL and dual photogates, it achieves reconfigurable logic and parallel decoding of amplitude–frequency signals, supporting scenario‐configured logic‐level separation for ...
Dante Ahn   +13 more
wiley   +1 more source

Transistor‐Level Activation Functions via Two‐Gate Designs: From Analog Sigmoid and Gaussian Control to Real‐Time Hardware Demonstrations

open access: yesAdvanced Materials, EarlyView.
Screen gate‐based transistors are presented, enabling tunable analog sigmoid and Gaussian activations. The SA‐transistor improves MRI classification accuracy, while the GA‐transistor supports precise Gaussian kernel tuning for forecasting. Both functions are implemented in a single device, offering compact, energy‐efficient analog AI processing ...
Junhyung Cho   +9 more
wiley   +1 more source

Recent Advances in NASICON‐Type Electrolytes for Solid‐State Metal Batteries

open access: yesCarbon Energy
Compared to traditional liquid electrolyte batteries, solid metal batteries offer advantages such as a wide operating temperature range, high energy density, and improved safety, making them a promising energy storage technology.
Jingrui Kang   +17 more
doaj   +1 more source

Home - About - Disclaimer - Privacy