“Stretching” the energy landscape of oxides—Effects on electrocatalysis and diffusion by Yildiz, Bilge

“…Elastic strain engineering offers a new route to enable high-performance catalysts, electrochemical energy conversion devices, separation membranes and memristors. By applying mechanical stress, the inherent energy landscape of reactions involved in the material can be altered. …”
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Braille recognition by E-skin system based on binary memristive neural network by Liu, Y. H., Wang, J. J., Wang, H. Z., Liu, S., Wu, Y. C., Hu, S. G., Yu, Q., Liu, Z., Chen, Tupei, Yin, Y., Liu, Y.

“…Braille recognition is realized with a neural network based on memristors. We utilize a binary neural network algorithm with only two bias layers and three fully connected layers. …”
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Functional ferritin-polymer complex for electrical applications by Tanjaya, Michelle Cordelia

“…The iron storage capability of the nanocage protein ferritin provides charge transfer capabilities that has been successfully applied for enhancement or modulation of electrical properties on components such as memristors and bilayer graphene. Building upon this premise, the guided assembly of ferritin molecules into a higher order structure by employing hydrogels presents a potential for a novel model suitable for electrical applications. …”
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Braille recognition by E-skin system based on binary memristive neural network by Y. H. Liu, J. J. Wang, H. Z. Wang, S. Liu, Y. C. Wu, S. G. Hu, Q. Yu, Z. Liu, T. P. Chen, Y. Yin, Y. Liu

“…Braille recognition is realized with a neural network based on memristors. We utilize a binary neural network algorithm with only two bias layers and three fully connected layers. …”
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Dynamic Analysis and FPGA Implementation of a New, Simple 5D Memristive Hyperchaotic Sprott-C System by Fei Yu, Wuxiong Zhang, Xiaoli Xiao, Wei Yao, Shuo Cai, Jin Zhang, Chunhua Wang, Yi Li

“…To improve the system, we expand the dimensionality and add the control parameters and memristors. A 5D memristive hyperchaotic system with hidden attractors is proposed, and the basic dynamical properties of the system, such as its dissipation, equilibrium point, stability, Lyapunov exponential spectra and bifurcation diagram, are analyzed. …”
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Preparation, properties, and electronic applications of 2D Bi2O2Se by Wenjun Chen, Rongjie Zhang, Yujie Sun, Jingwei Wang, Yun Fan, Bilu Liu

“…Electronic devices including field-effect transistors, memristors, and sensors based on 2D Bi2O2Se for neuromorphic computing, memory, logic, and integrated circuits are discussed. …”
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Nanostructured Vanadium Dioxide Materials for Optical Sensing Applications by Jongwon Yoon, Woong-Ki Hong, Yonghun Kim, Seung-Young Park

“…Due to the dramatic change in electrical resistance and optical transmittance of VO₂, it has attracted considerable attention towards the electronic and optical device applications, such as switching devices, memory devices, memristors, smart windows, sensors, actuators, etc. …”
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TRNGs from Pre-Formed ReRAM Arrays by Bertrand Cambou, Donald Telesca, Sareh Assiri, Michael Garrett, Saloni Jain, Michael Partridge

“…Schemes generating cryptographic keys from arrays of pre-formed Resistive Random Access (ReRAM) cells, called memristors, can also be used for the design of fast true random number generators (TRNG’s) of exceptional quality, while consuming low levels of electric power. …”
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Li‐Ion‐Based Electrolyte‐Gated Transistors with Short Write‐Read Delay for Neuromorphic Computing by Han Xu, Renrui Fang, Shuyu Wu, Junjie An, Woyu Zhang, Chao Li, Jikai Lu, Yue Li, Xiaoxin Xu, Yan Wang, Qi Liu, Dashan Shang

“…Abstract The hardware implementation of artificial neural networks requires synaptic devices with linear and high‐speed weight modulation. Memristors as a candidate suffer from excessive write variation and asymmetric resistance modulation that inherently rooted in their stochastic mechanisms. …”
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Quantifying thermal transport in amorphous silicon using mean free path spectroscopy by Pan, Ying, Zhou, Jiawei, Chen, Gang

“…The wide application of amorphous materials in solar cells, memristors, and optical sensors has stimulated interest in understanding heat conduction in amorphous systems owing to their thermal management issues. …”
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Ultralow energy domain wall device for spin-based neuromorphic computing by Kumar, Durgesh, Chung, Hong Jing, Chan, Jianpeng, Jin, Tianli, Lim, Sze Ter, Parkin, Stuart S. P., Sbiaa, Rachid, Piramanayagam, S. N.

“…To realize NC, researchers investigate various types of synthetic neurons and synaptic devices, such as memristors and spintronic devices. In comparison, spintronics-based neurons and synapses have potentially higher endurance. …”
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FourierPIM: High-throughput in-memory Fast Fourier Transform and polynomial multiplication by Orian Leitersdorf, Yahav Boneh, Gonen Gazit, Ronny Ronen, Shahar Kvatinsky

“…Therefore, this paper accelerates the FFT algorithm using digital Processing-in-Memory (PIM) architectures that shift computation into the memory by exploiting physical devices capable of both storage and logic (e.g., memristors). We propose an O(logn)in-memory FFT algorithm that can also be performed in parallel across multiple arrays for high-throughput batched execution, supporting both fixed-point and floating-point numbers. …”
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Graphene/MoS2/SiOx memristive synapses for linear weight update by Adithi Krishnaprasad, Durjoy Dev, Mashiyat Sumaiya Shawkat, Ricardo Martinez-Martinez, Molla Manjurul Islam, Hee-Suk Chung, Tae-Sung Bae, Yeonwoong Jung, Tania Roy

“…Abstract Memristors for neuromorphic computing have gained prominence over the years for implementing synapses and neurons due to their nano-scale footprint and reduced complexity. …”
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Controlling the Formation of Conductive Pathways in Memristive Devices by Robert Winkler, Alexander Zintler, Stefan Petzold, Eszter Piros, Nico Kaiser, Tobias Vogel, Déspina Nasiou, Keith P. McKenna, Leopoldo Molina‐Luna, Lambert Alff

“…The results demonstrate that a fundamental atomistic understanding of defect chemistry is pivotal to design memristors as key element of future electronics.…”
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Emerging Artificial Neuron Devices for Probabilistic Computing by Zong-xiao Li, Zong-xiao Li, Xiao-ying Geng, Xiao-ying Geng, Jingrui Wang, Jingrui Wang, Fei Zhuge, Fei Zhuge, Fei Zhuge

“…Artificial neurons based on emerging devices, such as memristors and ferroelectric field-effect transistors with inherent stochasticity can produce uncertain non-linear output spikes, which may be the key to make machine learning closer to the human brain. …”
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Ionotronic halide perovskite drift-diffusive synapses for low-power neuromorphic computation by John, Rohit Abharam, Yantara, Natalia, Ng, Yan Fong, Narasimmam, Govind, Mosconi, Edoardo, Meggiolaro,Daniele, Kulkarni, Mohit Rameshchandra, Gopalakrishnan, Pradeep Kumar, Nguyen, Chien Anh, De Angelis, Filippo, Mhaisalkar, Subodh Gautam, Basu, Arindam, Mathews, Nripan

“…Network‐level simulations of unsupervised learning of handwritten digit images utilizing experimentally derived device parameters, validates the utility of these memristors for energy‐efficient neuromorphic computation, paving way for novel ionotronic neuromorphic architectures with halide perovskites as the active material.…”
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Toolsets for assessing ionic migration in halide perovskites by Yantara, Natalia, Mathews, Nripan

“…Halide perovskites, known for their tunable and exceptional optoelectronic properties, have been extensively explored for photovoltaics, light-emitting diodes, photodetectors, and memristors. With solar cell efficiencies closing on theoretical limits, stabilization of perovskite devices—especially via control of the ionic activity within the device—is a research gap that needs to be addressed before its commercialization. …”
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Synaptic Characteristic of Hafnia-Based Ferroelectric Tunnel Junction Device for Neuromorphic Computing Application by Wonwoo Kho, Gyuil Park, Jisoo Kim, Hyunjoo Hwang, Jisu Byun, Yoomi Kang, Minjeong Kang, Seung-Eon Ahn

“…Among artificial neural networks that mimic the structure of the brain, the spiking neural network (SNN) is a network that imitates the information-processing method of biological neural networks. Recently, memristors have attracted attention as synaptic devices for neuromorphic computing systems. …”
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Biomembrane‐Based Memcapacitive Reservoir Computing System for Energy‐Efficient Temporal Data Processing by Md Razuan Hossain, Ahmed Salah Mohamed, Nicholas X. Armendarez, Joseph S. Najem, Md Sakib Hasan

“…Physical reservoirs have been realized using spintronic oscillators, atomic switch networks, volatile memristors, etc. However, these devices are intrinsically energy‐dissipative due to their resistive nature, increasing their power consumption. …”
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Oxygen annealing effect on resistive switching characteristics of multilayer CeO2/Al/CeO2 resistive random-access memory by Muhammad Ismail, Sobia Ali Khan, Mehr Khalid Rahmani, Junhyeok Choi, Zahida Batool, Anwar Manzoor Rana, Sungjun Kim

“…Cerium oxide-based memristors have been extensively studied because of their compatibility with CMOS technology. …”
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