Results 181 to 190 of about 14,306 (300)

On the Role of Preprocessing and Memristor Dynamics in Reservoir Computing for Image Classification

Advanced Electronic Materials, EarlyView.
ABSTRACT Reservoir computing (RC) is an emerging recurrent neural network architecture that has attracted growing attention for its low training cost and modest hardware requirements. Memristor‐based circuits are particularly promising for RC, as their intrinsic dynamics can reduce network size and parameter overhead in tasks such as time‐series ...
Rishona Daniels, Duna Wattad, Ronny Ronen, David Saad, Shahar Kvatinsky   +4 more
wiley   +1 more source

Grain Boundary Enabled Diamond Memristor. [PDF]

Adv Mater
Sun G, Li X, Huang W, Han Y, Yan W, Wang X, Guo Y, Chen D, Cheng S, Shan C.   +9 more
europepmc   +1 more source

Experimental Demonstration of Temporally Aware Fault‐Tolerant Sensor Fusion Using Memristive Associative Learning

Advanced Electronic Materials, EarlyView.
In dynamic driving scenarios, the proposed approach ensures only temporally aligned sensor inputs to make driving decisions, preventing false activations. By enabling selective hardware‐level learning, it achieves fast, reliable responses under noisy conditions.
Kapil Bhardwaj, Ashfak Nehal, Dmitrii Semenov, Roman Sotner, Sayani Majumdar   +4 more
wiley   +1 more source

Memristive Motion-Streak Neuron for Spatiotemporal Multiple Object Detection. [PDF]

Adv Mater
Park H, Kim JH, Kim HW, Ghenzi N, Shim SK, Han JK, Chung MJ, Shin DH, Woo KS, Hwang CS.   +9 more
europepmc   +1 more source

The Influence of Residual Ion Drift During Programming of Chip‐Integrated Nanoscale HfO2‐Based Memristive Devices

Advanced Electronic Materials, EarlyView.
1T1R‐arrays combining filamentary‐type memristors and CMOS transistors offer great potential for energy‐efficient analog hardware accelerators. Here, transient SET analysis of nanoscale HfO2 memristors integrated on 180 nm CMOS wafers is discussed.
Oliver Artner, Felix Cüppers, Seokki Son, Yang Chen, Xiaohua Liu, Christopher Bengel, Dennis Nielinger, André Zambanini, Stefan Wiefels, Stephan Menzel, Regina Dittmann, Susanne Hoffmann‐Eifert   +11 more
wiley   +1 more source

Resistive switching memristors: structures, materials, fabrication techniques, and process challenges for VLSI integration. [PDF]

RSC Adv
Singla R, Pant D, Nautiyal P, Painuly A.
europepmc   +1 more source

Enhanced Resistive Switching Uniformity in Tantalum Oxide Memristor Devices via Copper Implantation

Advanced Electronic Materials, EarlyView.
Metal oxide memristor devices typically suffer from uncontrolled forming processes and limited resistive switching uniformity due to the stochastic formation of an oxygen vacancy filament. Improved resistive switching uniformity in Ta2O5 memristor is developed by Cu implantation in the switching oxide.
Shaochuan Chen, Ilia Valov
wiley   +1 more source

In-Memory Bayesian Machine Using Vertical Cu0.33Te0.67/HfO2/TiN Memristive Crossbar Arrays. [PDF]

ACS Nano
Baek IK, Cheong S, Kim HW, Cho JM, Son K, Kim YR, Woo KS, Park H, Kim BS, Hwang CS.   +9 more
europepmc   +1 more source

Stochastic‐MTJ Sampler Arrays for In‐Array Monte–Carlo Estimation

Advanced Electronic Materials, EarlyView.
A low‐energy‐barrier magnetic tunnel junction array is operated as a probability‐domain sampler: each cell's random switching, programmed through a shared digital‐to‐analog converter, makes the per‐column multiply–accumulate an unbiased Monte–Carlo expectation estimator that returns both a mean and a calibrated uncertainty.
Ran Zhang, Nellie Laleni, Sina Ranjbar, Andreas Tsiougkos, Nandakishor Yadav, Vasilis Pavlidis, Thomas Kämpfe   +6 more
wiley   +1 more source

Artificial Intelligence for Fluorite Ferroelectric Materials: From Discovery to Optimization

Advanced Electronic Materials, EarlyView.
Artificial intelligence accelerates the discovery and optimization of HfO2‐based fluorite ferroelectrics by linking synthesis, structure, properties, and device performance. Machine learning, deep‐learning analysis, and AI‐driven atomistic modeling enable predictive design, dopant screening, and closed‐loop optimization toward next‐generation ...
Faizan Ali, David Lehninger, Florencio Sánchez, Ignasi Fina   +3 more
wiley   +1 more source