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Advanced Science (Weinheim, Baden-Wurttemberg, Germany)|March 14, 2026
Optoelectronic-Driven van der Waals Ferroelectric Materials-Based Memory Devices for Retinomorphic and In-Sensory HardwareParthasarathi Pal, Yeong-Her Wang, Sanjay Kumar, et al.Scientific Data|August 15, 2025
A flying ad-hoc network dataset for early time series classification of grey hole attacksCharles Hutchins, Leonardo Aniello, Enrico Gerding, et al.Journal of Chemical Information and Modeling|June 11, 2026
Band Gap Prediction of Two-Dimensional Materials Using a Gradient-Boosted Feature Selection ApproachBen D Rowlinson, Subramanian Ramamoorthy, Jacqueline M Cole, et al.Science Advances|June 22, 2022
Palimpsest memories stored in memristive synapsesChristos Giotis, Alexander Serb, Vasileios Manouras, et al.Scientific Reports|December 21, 2019
An Electrical Characterisation Methodology for Benchmarking Memristive Device TechnologiesSpyros Stathopoulos, Loukas Michalas, Ali Khiat, et al.Scientific Reports|September 18, 2020
Monitoring PSA levels as chemical state-variables in metal-oxide memristorsIoulia Tzouvadaki, Spyros Stathopoulos, Tom Abbey, et al.Advanced Materials (Deerfield Beach, Fla.)|February 25, 2023
Interfacing Biology and Electronics with Memristive MaterialsIoulia Tzouvadaki, Paschalis Gkoupidenis, Stefano Vassanelli, et al.Frontiers in Neuroscience|November 10, 2016
Analog Memristive Synapse in Spiking Networks Implementing Unsupervised LearningErika Covi, Stefano Brivio, Alexander Serb, et al.Nature Communications|September 30, 2016
Unsupervised learning in probabilistic neural networks with multi-state metal-oxide memristive synapsesAlexander Serb, Johannes Bill, Ali Khiat, et al.Frontiers in Neuroscience|October 21, 2015
Implementation of a spike-based perceptron learning rule using TiO2-x memristorsHesham Mostafa, Ali Khiat, Alexander Serb, et al.Pageof 3