Nonlinear memristive computational spectrometer by Xin Li, Jie Wang, Feilong Yu, Jin Chen, Xiaoshuang Chen, Wei Lu, Guanhai Li

“…Here, we introduce a computational spectrometer powered by a nonlinear photonic memristor with a WSe2 homojunction. This approach overcomes traditional limitations, such as constrained Fermi level tunability, persistent dark current, and limited photoresponse dimensionality through dynamic energy band modulation driven by palladium (Pd) ion migration. …”
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All-Optically Controlled Memristive Device Based on Cu2O/TiO2 Heterostructure Toward Neuromorphic Visual System by Jun Xie, Xuanyu Shan, Ningbo Zou, Ya Lin, Zhongqiang Wang, Ye Tao, Xiaoning Zhao, Haiyang Xu, Yichun Liu

“…The optoelectronic memristor integrates the multifunctionalities of image sensing, storage, and processing, which has been considered as the leading candidate to construct novel neuromorphic visual system. …”
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A Detailed Analytical Study of Non-Linear Semiconductor Device Modelling by Umesh Kumar

“…The memristive circuit model for p-n junction diodes is capable of simulating realistically the diode’s dynamic behavior under reverse, forward and sinusiodal operating modes. The model uses memristor, the charge-controlled resistor to mimic various second-order effects due to conductivity modulation. …”
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Circuit Implementation, Synchronization of Multistability, and Image Encryption of a Four-Wing Memristive Chaotic System by Guangya Peng, Fuhong Min, Enrong Wang

“…In this paper, a novel four-wing memristive chaotic system with an active cubic flux-controlled memristor is proposed based on a Lorenz-like circuit. …”
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Noise and Electrical Oscillations Generation during the Investigation of the Resistive Switching in the Yttria Stabilized Zirconia Films by Conductive Atomic Force Microscopy by Oleg Gorshkov, Dmitry Filatov, Dmitry Antonov, Ivan Antonov

“…The effect discovered is promising for application in the memristor devices of new generation.…”
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Transmembrane voltage-gated nanopores controlled by electrically tunable in-pore chemistry by Makusu Tsutsui, Wei-Lun Hsu, Chien Hsu, Denis Garoli, Shukun Weng, Hirofumi Daiguji, Tomoji Kawai

“…The dynamic nature of the in-pore reactions also facilitates a memristor of sub-nanowatt power consumption. Leveraging chemical degrees of freedom, the present method may be useful for creating iontronic circuits of tunable characteristics toward neuromorphic systems.…”
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Dual-role ion dynamics in ferroionic CuInP2S6: revealing the transition from ferroelectric to ionic switching mechanisms by Xingan Jiang, Xiangping Zhang, Zunyi Deng, Jianming Deng, Xiaolei Wang, Xueyun Wang, Weiyou Yang

“…This work deepens the understanding of ion migration dynamics and conductive switching in ferroionic systems, which is critical for the advancement of memristor-based neuromorphic computing.…”
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Layer ensemble averaging for fault tolerance in memristive neural networks by Osama Yousuf, Brian D. Hoskins, Karthick Ramu, Mitchell Fream, William A. Borders, Advait Madhavan, Matthew W. Daniels, Andrew Dienstfrey, Jabez J. McClelland, Martin Lueker-Boden, Gina C. Adam

“…In-memory computing architectures using memristor devices offer promise but face challenges due to hardware non-idealities. …”
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Giant memory window performance and low power consumption of hexagonal boron nitride monolayer atomristor by Sung Jin Yang, Yu-Rim Jeon, Dongyoon Kim, Sivasakthya Mohan, Shanmukh Kutagulla, Matthew Disiena, Sanjay K. Banerjee, Deji Akinwande

“…Abstract Two-dimensional (2D) monolayers have gained significant attention as ultrathin active layers for fabricating atomic-scale memristor (atomristor) structures due to their crystalline structures and clean surfaces. …”
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Dynamic Analysis, Circuit Design, and Synchronization of a Novel 6D Memristive Four-Wing Hyperchaotic System with Multiple Coexisting Attractors by Fei Yu, Li Liu, Hui Shen, Zinan Zhang, Yuanyuan Huang, Changqiong Shi, Shuo Cai, Xianming Wu, Sichun Du, Qiuzhen Wan

“…In this work, a novel 6D four-wing hyperchaotic system with a line equilibrium based on a flux-controlled memristor model is proposed. The novel system is inspired from an existing 5D four-wing hyperchaotic system introduced by Zarei (2015). …”
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Secure Communication Scheme Based on a New 5D Multistable Four-Wing Memristive Hyperchaotic System with Disturbance Inputs by Fei Yu, Zinan Zhang, Li Liu, Hui Shen, Yuanyuan Huang, Changqiong Shi, Shuo Cai, Yun Song, Sichun Du, Quan Xu

“…By introducing a flux-controlled memristor model with absolute value function, a 5D multistable four-wing memristive hyperchaotic system (FWMHS) with linear equilibrium points is proposed in this paper. …”
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Mechano-gated iontronic piezomemristor for temporal-tactile neuromorphic plasticity by Xiao Wei, Zhixin Wu, Hanfei Gao, Shiqi Cao, Xue Meng, Yuqun Lan, Huixue Su, Zhenglian Qin, Hang Liu, Wenxin Du, Yuchen Wu, Mingjie Liu, Ziguang Zhao

“…By micro-integrating the mechanogate with an oscillatory iontronic memristor, it exhibits stiffness-induced bipolarized excitatory and inhibitory neuromorphics, thereby enabling the activation of temporal-tactile memory and learning functions (e.g., Bienenstock–Cooper–Munro and Hebbian learning rules). …”
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Hyperchaos on the dynamics of memristive Tabu learning neuron model under influence of electromagnetic radiation: Application in biomedical data privacy by Bertrand Frederick Boui A Boya, Jacques Kengne, Arnaud Nanfak, Sishu Shankar Muni, Jean de Dieu Nkapkop, Germaine Djuidje Kenmoe, Lyudmila Klimentyevna Babenko

“…Despite the model having an unstable equilibrium plane, numerical investigation without the influence of electromagnetic radiation reveal that when increasing the memristor strength induces complex phenomena, including the coexistence of infinite bubbles of bifurcations, offset plane coexistence of various attractors. …”
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Layer-by-layer assembly yields thin graphene films with near theoretical conductivity by Oran Cassidy, Kevin Synnatschke, Jose M. Munuera, Cian Gabbett, Tian Carey, Luke Doolan, Eoin Caffrey, Jonathan N. Coleman

“…Abstract Thin films fabricated from solution-processed graphene nanosheets are of considerable technological interest for a wide variety of applications, such as transparent conductors, supercapacitors, and memristors. However, very thin printed films tend to have low conductivity compared to thicker ones. …”
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Neuromorphic system using capacitor synapses by Reon Oshio, Takumi Kuwahara, Takeru Aoki, Mutsumi Kimura, Yasuhiko Nakashima

“…Abstract Artificial intelligences are indispensable social infrastructures, neural networks are embodiment methodologies, and neuromorphic systems are promising solutions for compact size and low energy. Memristors were first prepared for the synapse devices but incur energy consumption, and memcapacitors were next prepared but have small dynamic ranges of capacitance. …”
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A simple model for Behavioral Time Scale Synaptic Plasticity (BTSP) provides content addressable memory with binary synapses and one-shot learning by Yujie Wu, Wolfgang Maass

“…They also provide a promising approach for implementing content-addressable memory with on-chip learning capability in highly energy-efficient crossbar arrays of memristors.…”
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Efficient nonlinear function approximation in analog resistive crossbars for recurrent neural networks by Junyi Yang, Ruibin Mao, Mingrui Jiang, Yichuan Cheng, Pao-Sheng Vincent Sun, Shuai Dong, Giacomo Pedretti, Xia Sheng, Jim Ignowski, Haoliang Li, Can Li, Arindam Basu

“…Our approach uses an extra column of memristors to produce an appropriately pre-distorted ramp voltage such that the comparator output directly approximates the desired nonlinear function. …”
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From light sensing to adaptive learning: hafnium diselenide reconfigurable memcapacitive devices in neuromorphic computing by Bashayr Alqahtani, Hanrui Li, Abdul Momin Syed, Nazek El-Atab

“…Although charge-based or emerging memory technologies such as memristors have been developed to emulate synaptic plasticity, replicating the key functionality of neurons—integrating diverse presynaptic inputs to fire electrical impulses—has remained challenging. …”
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