Results 61 to 70 of about 13,015 (262)
Advanced Functional Materials, EarlyView.In MOCVD MoS2 memristors, a current compliance‐regulated Ag filament mechanism is revealed. The filament ruptures spontaneously during volatile switching, while subsequent growth proceeds vertically through the MoS2 layers and then laterally along the van der Waals gaps during nonvolatile switching.
Yuan Fa +19 more
wiley +1 more source
Reliable SPICE Simulations of Memristors, Memcapacitors and Meminductors [PDF]
, 2013 Memory circuit elements, namely memristive, memcapacitive and meminductive systems, are gaining considerable attention due to their ubiquity and use in diverse areas of science and technology. Their modeling within the most widely used environment, SPICE,
Biolek, Dalibor +2 more
core +2 more sources
Neuro-memristive Circuits for Edge Computing: A review
, 2018 The volume, veracity, variability, and velocity of data produced from the ever-increasing network of sensors connected to Internet pose challenges for power management, scalability, and sustainability of cloud computing infrastructure.
Chua, Leon O. +2 more
core +1 more source
Bio‐Inspired Molecular Events in Poly(Ionic Liquids)
Advanced Functional Materials, EarlyView.Originating from dipolar and polar inter‐ and intra‐chain interactions of the building blocks, the topologies and morphologies of poly(ionic liquids) (PIL) govern their nano‐ and micro‐processibility. Modulating the interactions of cation‐anion pairs with aliphatic dipolar components enables the tunability of properties, facilitated by “bottom‐up ...
Jiahui Liu, Marek W. Urban
wiley +1 more source
Silk Protein Based Volatile Threshold Switching Memristors for Neuromorphic Computing
Advanced Electronic Materials, 2022 Memristors based neuromorphic devices can efficiently process complex information and fundamentally overcome the bottleneck of traditional computing based on von Neumann architecture.
Momo Zhao +13 more
doaj +1 more source
Versatile stochastic dot product circuits based on nonvolatile memories for high performance neurocomputing and neurooptimization. [PDF]
, 2019 The key operation in stochastic neural networks, which have become the state-of-the-art approach for solving problems in machine learning, information theory, and statistics, is a stochastic dot-product.
Mahmoodi, MR, Prezioso, M, Strukov, DB
core +1 more source
, 2017 We have calculated the key characteristics of associative (content-addressable) spatial-temporal memories based on neuromorphic networks with restricted connectivity - "CrossNets".
Gavrilov, Dmitri +2 more
core +2 more sources
Integration of Low‐Voltage Nanoscale MoS2 Memristors on CMOS Microchips
Advanced Functional Materials, EarlyView.This article presents the first monolithic integration of nanoscale MoS2‐based memristors into the back‐end‐of‐line of foundry‐fabricated CMOS microchips in a one‐transistor‐one‐resistor (1T1R) architecture. The MoS2‐based 1T1R cells exhibit forming‐free, nonvolatile resistive switching with ultra‐low operating voltages, low cycle‐to‐cycle variability ...
Jimin Lee +16 more
wiley +1 more source
Advanced Functional Materials, EarlyView.Tin hexathiophosphate memristors leverage intrinsic nanopores together with a guided filament formation strategy to regulate titanium ion motion and switching behavior. The devices support reliable nonvolatile memory and reconfigurable logic‐in‐memory, demonstrating 14 Boolean logic functions in a single cell.
Thaw Tint Te Tun +7 more
wiley +1 more source
Analytical Computation of the Area of Pinched Hysteresis Loops of Ideal Mem-Elements [PDF]
, 2013 The memory elements, memristor being the best known of them, driven by a periodical waveform exhibit the well-known pinched hysteresis loops. The hysteresis is caused by a memory effect which results in a nonzero area closed within the loop.
Biolek, Dalibor +2 more
core +1 more source