Results 91 to 100 of about 7,847 (301)

Drop-coated titanium dioxide memristors [PDF]

, 2014
The fabrication of memristors by drop-coating sol-gel Ti(OH)4 solution onto either aluminium foil or sputter-coated aluminium on plastic is presented. The gel layer is thick, 37 μm, but both devices exhibit good memristance I-V profiles.
Gale, Ella, Adamatzky, Andrew, Mayne, Richard, De Lacy Costello, Ben   +3 more
core   +1 more source

Controlling Film Formation in Inkjet‐printed MAPbBr3 Through Graphene Incorporation for Enhanced Photodetection

Advanced Materials Technologies, EarlyView.
This work highlights the impact of incorporating graphene nanoflakes into precursor inks of MAPbBr3 for inkjet‐printed optoelectronic device applications. A substantial modification of the crystallization dynamics is reported despite miniscule concentrations.
Kenneth Lobo, Javier Bartolomé, María Vila, Giovanni Vescio, Raúl I. Sánchez‐Alarcón, Junaid Khan, Júlia Marí Guaita, Francisco Palacio Bonet, Juan P. Martínez‐Pastor, Sergi Hernández, Blas Garrido, Carmen Coya, Albert Cirera   +12 more
wiley   +1 more source

Analog HfxZr1‐xO2 Memristors with Tunable Linearity for Implementation in a Self‐Organizing Map Neural Network

Advanced Electronic Materials
Doped‐metal oxide‐based memristors, with the potential for improved switching performance and capability for multi‐bit information storage, are attractive candidates in the implementation of artificial neural network (ANN) hardware systems.
Quanzhou Zhu, Biyi Jiang, Jun Lan, Zeyu Hou, Yida Dong, Zhongrui Wang, Xuewei Feng, Mei Shen, Hongyu Yu, Kai Chen, Jiamin Li, Longyang Lin, Feichi Zhou, Yida Li   +13 more
doaj   +1 more source

Modeling Networks of Probabilistic Memristors in SPICE [PDF]

Radioengineering, 2021
Efficient simulation of stochastic memristors and their networks requires novel modeling approaches. Utilizing a master equation to find occupation probabilities of network states is a recent major departure from typical memristor modeling [Chaos ...
V. J. Dowling, V. A. Slipko, Y. V. Pershin   +2 more
doaj  

Low-Temperature Solution-Based Molybdenum Oxide Memristors

Solution-based memristors have gained significant attention in recent years due to their potential for the low-cost, scalable, and environmentally friendly fabrication of resistive switching devices.
Asal Kiazadeh (3331272), Rodrigo Martins (1689109), Jonas Deuermeier (2014369), Emanuel Carlos (3331275), Raquel Azevedo Martins (17842521)   +4 more
core   +1 more source

Aluminum Oxynitride‐Engineered Transparent Aluminum Nitride Resistive Memory for Low‐Leakage Multilevel Switching in Micro‐LED Pixels

Advanced Materials Technologies, EarlyView.
An AlON interfacial layer is engineered within an AlN switching layer to enable transparent RRAM with four stable resistance states. The device achieves low‐voltage multilevel switching and a high HRS, allowing precise grayscale modulation and preventing light leakage in micro‐LEDs operated at VDD = 2.7 V.
Sung Keun Choi, Ho Jin Lee, Seok Hee Hong, Jae Seong Park, Chan Ho Ryu, Kyeong Heon Kim, Tukaram D. Dongale, Tae Geun Kim   +7 more
wiley   +1 more source

Disorder‐Induced Extremely Low Thermal Conductivity of Graphite Fluoride

Advanced Science, EarlyView.
This article investigates the effect of fluorination on the thermal conductivity of graphite fluoride, demonstrating the relationship between structural modification and thermal conductivity in an extreme case. The record‐low through‐plane thermal conductivity measured in exfoliated graphite fluoride flakes was found to correlate with the wide ...
Wonsik Lee, Donghoon Moon, Ziyan Qian, Jinwoo Kim, Changheon Kim, Yeojin Lee, Hyobin Yoo, Richard B. Wilson, Qiye Zheng, Gwan‐Hyoung Lee, Hyejin Jang   +10 more
wiley   +1 more source

An On‐Demand Neuromorphic Vision System Enabled by a Multi‐Paradigm Neuromorphic Device and Hierarchical Reconfigurability Designed from Device to System Level

Advanced Science, EarlyView.
An on‐demand ultra‐reconfigurable intelligent vision system with hierarchical reconfigurability from device to system levels is demonstrated. Through co‐design of a multi‐paradigm device, reconfigurable circuits, and adaptive system architecture/algorithms, the system enables seamless switching among spiking, non‐spiking, neuromorphic imaging (NI), and
Biyi Jiang, Jiayi Xu, Liang Ran, Xinhe Feng, Khalil Harrabi, Yida Li, Longyang Lin, Feichi Zhou   +7 more
wiley   +1 more source

Stochastic compact model for memory and threshold switching memristors

APL Machine Learning
Memristors are electron devices whose resistance changes according to the history of electrical signals applied to their two terminals. These resistance changes can remain for very long times or relax after a short time.
Jordi Suñé, Enrique Miranda
doaj   +1 more source

Mimicking neural habituation behavior with pristine leaf-based memristors [PDF]

APL Electronic Devices
Neuromorphic computing systems allow electronics to mimic the behavior of biological neurons and hold potential for high-efficiency computation needed for artificial intelligence.
Andrew J. Savage, Samantha S. Wilder, Ramesh Y. Adhikari   +2 more
doaj   +1 more source