Results 121 to 130 of about 13,015 (262)

Diffusion Characteristics of Ru and Oxygen Vacancies in Ta2O5 for Resistive Random Access Memory Devices: A Density Functional Theory Investigation

Advanced Electronic Materials, EarlyView.
Atomistic analysis of ruthenium (Ru) and oxygen vacancy (OV) diffusion in Ta₂O₅‐based memristors is performed. DFT calculations demonstrate interstitial Ru in Ta₂O₅ has lower diffusion barriers and formation energies than OVs, enhancing mobility and stability.
Md. Sherajul Islam, Sabyasachi Ganguli, J. Joshua Yang, Ajit K Roy   +3 more
wiley   +1 more source

Principles, fabrication, and applications of halide perovskites‐based memristors

FlexMat
In recent decades, the microelectronics industry has developed rapidly based on the von Neumann architecture and under the guidance of Moore's law.
Xiaozhe Cheng, Zhitao Dou, Hong Lian, Zhitao Qin, Hongen Guo, Xifeng Li, Wai‐Yeung Wong, Qingchen Dong   +7 more
doaj   +1 more source

Volatile tin oxide memristor for neuromorphic computing

iScience
Summary: The rise of neuromorphic systems has addressed the shortcomings of current computing architectures, especially regarding energy efficiency and scalability.
Dongyeol Ju, Sungjun Kim
doaj   +1 more source

ReRAM/CMOS Array Integration and Characterization via Design of Experiments

Advanced Electronic Materials, EarlyView.
This paper proposes the Design of Experiments to characterize arrays of oxide‐based ReRAM devices by exploring the large characterization space efficiently using only a few numbers of experiments. Using in‐house integration of 20 000 ReRAM devices on a CMOS chip, the unconventional optimization approach determines optimized measurement parameters and ...
Imtiaz Hossen, William A. Borders, Advait Madhavan, Shweta Joshi, Patrick M. Braganca, Jabez J. McClelland, Brian D. Hoskins, Gina C. Adam   +7 more
wiley   +1 more source

Printed Memristors: An Overview of Ink, Materials, Deposition Techniques, and Applications

Advanced Electronic Materials
Industry 4.0 is accelerating the growth of connected devices, resulting in an exponential increase in generated data. The current semiconductor technology is facing challenges in miniaturization and power consumption, demanding for more efficient ...
Miguel Franco, Asal Kiazadeh, Rodrigo Martins, Senentxu Lanceros‐Méndez, Emanuel Carlos   +4 more
doaj   +1 more source

Neural Information Processing and Time‐Series Prediction with Only Two Dynamical Memristors

Advanced Electronic Materials, EarlyView.
The present study demonstrates how simple circuits with only two memristive devices are utilized to perform high complexity temporal information processing tasks, like neural spike detection in noisy environment, or time‐series prediction. This circuit simplicity is enabled by the dynamical complexity of the memristive devices, i.e.
Dániel Molnár, Tímea Nóra Török, János Volk, Roland Kövecs, László Pósa, Péter Balázs, György Molnár, Nadia Jimenez Olalla, Zoltán Balogh, János Volk, Juerg Leuthold, Miklós Csontos, András Halbritter   +12 more
wiley   +1 more source

Carbon-based memristors for resistive random access memory and neuromorphic applications

Chip
As a typical representative of nanomaterials, carbon nanomaterials have attracted widespread attention in the construction of electronic devices owing to their unique physical and chemical properties, multi-dimensionality, multi-hybridization methods ...
Fan Yang, Zhaorui Liu, Xumin Ding, Yang Li, Cong Wang, Guozhen Shen   +5 more
doaj   +1 more source

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

Organic Thin‐Film Transistors for Neuromorphic Computing

Advanced Electronic Materials, EarlyView.
Organic thin‐film transistors (OTFTs) are reviewed for neuromorphic computing applications, highlighting their power‐efficient, and biological time‐scale operation. This article surveys OFET and OECT devices, compares them with memristors and CMOS, analyzes how fabrication parameters shape spike‐based metrics, proposes standardized characterization ...
Luke McCarthy, Mohan V. Jacob, Mostafa Rahimi Azghadi   +2 more
wiley   +1 more source

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

Advanced 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, Taejun Ha, Sangwook Jung, Wontae Jeong, Yoonyoung Chung   +4 more
wiley   +1 more source