Results 271 to 280 of about 1,602,380 (362)

Recent Progress and Opportunities in Oxide Semiconductor Devices for In‐Memory and Neuromorphic Computing

open access: yesAdvanced Electronic Materials, EarlyView.
This review surveys oxide‐semiconductor devices for in‐memory and neuromorphic computing, highlighting recent progress and remaining challenges in charge‐trap, ferroelectric, and two‐transistor devices. Oxide semiconductors, featuring ultra‐low leakage, low‐temperature processing, and back‐end‐of‐line compatibility, are explored for analog in‐memory ...
Suwon Seong   +4 more
wiley   +1 more source

A Polymorphic Reconfigurable Multi‐Electrode Device Based on Electrically Bistable Nanostructured Metallic Films

open access: yesAdvanced Electronic Materials, EarlyView.
A polymorphic reconfigurable multi‐electrode device based on electrically bistable nanostructured metallic films. The adaptive reconfiguration properties of the nanostructured network under specific input voltages drive the reprogrammability of the device. This system can be employed for the implementation of polymorphic devices, which can be used both
Silvia Bressan   +4 more
wiley   +1 more source

Reconfigurable, Non‐Volatile Switching in WO3 Film for Resistive Memory and Multistate Programming Toward Energy‐Efficient Neuromorphic Computing Applications

open access: yesAdvanced Electronic Materials, EarlyView.
WO3${\rm WO}_3$ based resistive switching device was precisely controlled and shows the reconfigurable, non‐volatile switching which can be programmable to multi‐resistance states for memory applications. The memory device can also be utilised for low energy neuromorphic application.
Keval Hadiyal   +2 more
wiley   +1 more source

High‐Performance and Energy‐Efficient Sub‐5 nm 2D Double‐Gate MOSFETs Based on Silicon Arsenide Monolayers

open access: yesAdvanced Electronic Materials, EarlyView.
Sub‐5 nm double‐gate MOSFETs based on 2D SiAs monolayers are investigated using quantum transport simulations. By engineering source‐drain underlap regions, the devices achieve exceptional on‐currents of up to 1206 µA µm−1, surpassing the ITRS 2028 high‐performance targets.
Dogukan Hazar Ozbey, Engin Durgun
wiley   +1 more source

Materials Design Principles for Large Memory Windows: Coercive Voltage Engineering in Ferroelectric– Dielectric Heterostructures

open access: yesAdvanced Electronic Materials, EarlyView.
Coercive voltage enhancement in hafnia‐based ferroelectric–dielectric heterostructures is shown to originate from leakage‐governed voltage division between the ferroelectric and dielectric layers. Through experiments, circuit modeling, and defect‐based simulations, a universal framework is established to engineer large memory windows without altering ...
Prasanna Venkatesan   +21 more
wiley   +1 more source

Interface‐Engineered TiO2 Interlayer for Reliable Hafnia‐Based MFMIS FeFETs

open access: yesAdvanced Electronic Materials, EarlyView.
An ultrathin TiO2 interlayer suppresses oxygen‐vacancy formation in HZO‐based MFMIS FeFETs, enabling enlarged memory windows and reduced leakage current with improved switching characteristics. ABSTRACT We investigated a TiO2‐engineered interfacial strategy to enhance the stability and reliability of hafnia‐based ferroelectric field‐effect transistors (
Changhyeon Han   +4 more
wiley   +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

Triboelectric Tactile Transducers for Neuromorphic Sensing and Synaptic Emulation: Materials, Architectures, and Interfaces

open access: yesAdvanced Energy and Sustainability Research, EarlyView.
Triboelectric nanogenerators are vital for sustainable energy in future technologies such as wearables, implants, AI, ML, sensors and medical systems. This review highlights improved TENG neuromorphic devices with higher energy output, better stability, reduced power demands, scalable designs and lower costs.
Ruthran Rameshkumar   +2 more
wiley   +1 more source

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