Results 151 to 160 of about 7,322 (252)

Optical Charge Trap Memory Based on Graphene/ZnO Heterostructures for Long‐Term Retention and Adaptive Learning

Advanced Electronic Materials, EarlyView.
A biocompatible graphene/ZnO optical charge trap memory (CTM) is reported with over 54 h retention, enabled by interfacial photodoping. Using transient absorption spectroscopy and electrical analysis, charge transfer quenching is elucidated and reveal that a large energy barrier at the interface is responsible for long‐term memory retention.
Seungmin Shin, Junhyung Kim, Hyungdoh Lee, Yixuan Dou, Jacob T. Heiden, Seung Eun Lee, Jinwoo Song, Lina Quan, Giulia Tagliabue, Min Seok Jang, Himchan Cho   +10 more
wiley   +1 more source

Influence of Bottom Electrodes on the Ferroelectric Stability of AlScN Film at High Temperatures

Advanced Electronic Materials, EarlyView.
The thermal stability of AlScN depends on the bottom electrode. When the bottom electrode possesses compressive stress, tensile strain develops in the AlScN upon thermal annealing, reducing the switching barrier. When the bottom electrode forms a coherent interface with AlScN, significant tensile strain and defects are generated in the AlScN layer ...
Kyung Do Kim, Seung Kyu Ryoo, Min Kyu Yeom, Dong Jae Kim, Cheol Seong Hwang   +4 more
wiley   +1 more source

Electrically programmable organic in-display neuromorphic computing. [PDF]

Natl Sci Rev
Dai S, Wang D, Liu X, Cui B, Tian X, Liu D, Hu H, Guo P, Sun T, Zhang J, Huang J, Zhang S, Wang Z.   +12 more
europepmc   +1 more source

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

Advanced 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

Al Nanoparticle-Decorated Metal Oxide Synaptic Transistors for Ultralow-Energy Neuromorphic Computing with Wide Dynamic Range. [PDF]

Adv Sci (Weinh)
Choi JG, Song Y, Baek S, Jang J, Park S.
europepmc   +1 more source

Exfoliated‐MoS2 Gradual Resistive Switching Devices as Artificial Synapses

Advanced Electronic Materials, EarlyView.
A vertical memristor based on untreated, exfoliated MoS2 is presented, revealing gradual resistive switching governed by Schottky barrier modulation at the MoS2/metal interface from the trapping/detrapping of charges. Furthermore, the device emulates synaptic‐like plasticity functions, including: potentiation, depression, and spike‐amplitude‐dependent ...
Deianira Fejzaj, Richard Schroedter, Thomas Mikolajick, André Heinzig   +3 more
wiley   +1 more source

Fast prototyping of memristors for ReRAMs and neuromorphic computing.

Nanoscale
Marraccini G, Strangio S, Dimaggio E, Sargeni R, Pieri F, Sozen Y, Castellanos-Gomez A, Fiori G.   +7 more
europepmc   +1 more source

Harnessing Time-Dependent Magnetic Texture Dynamics via Spin-Orbit Torque for Physics-Enhanced Neuromorphic Computing. [PDF]

Adv Sci (Weinh)
Zhang Y, Li Y, Lin H, Wang X, Liu L, Xing G, Wang D, Zhao Z, Guo Z, Yang J, Niu J, Sun Y, Wu T, Xing G.   +13 more
europepmc   +1 more source

Electrode‐Engineered Dual‐Mode Multifunctional Lead‐Free Perovskite Optoelectronic Memristors for Neuromorphic Computing

Advanced Electronic Materials, EarlyView.
A lead‐free perovskite memristive solar cell structure that call emulate both synaptic and neuronal functions controlled by light and electric fields depending on top electrode type. ABSTRACT Memristive devices based on halide perovskites hold strong promise to provide energy‐efficient systems for the Internet of Things (IoT); however, lead (Pb ...
Michalis Loizos, Konstantinos Rogdakis, Konstantinos Chatzimanolis, Katerina Anagnostou, Emmanuel Kymakis   +4 more
wiley   +1 more source

Low‐Power Control Of Resistance Switching Transitions in First‐Order Memristors

Advanced Electronic Materials, EarlyView.
Joule losses are a serious concern in modern integrated circuit design. In this regard, minimizing the energy necessary for programming memristors should be handled with care. This manuscript presents an optimal control framework, allowing to derive energy‐efficient programming voltage protocols for resistance switching devices. Following this approach,
Valeriy A. Slipko, Alon Ascoli, Fernando Corinto, Yuriy V. Pershin   +3 more
wiley   +1 more source