Results 31 to 40 of about 4,276 (120)
Materials with tunable properties are an essential part of solving the challenges related to integrated computer memories. Metal–oxygen nanoclusters such as polyoxometalates have emerged as promising candidates for such applications, due to their unique switching properties.
Fangshun Yang +12 more
wiley +1 more source
The major candidates for read‐ and write‐based memristive computing‐in‐memory are investigated. By exploiting the active crossbar structure and the select transistor, it is possible to increase the reliability of in‐memory operations for logic and arithmetic tasks.
Leon Brackmann +5 more
wiley +1 more source
Designing Organic and Hybrid Surfaces and Devices with Initiated Chemical Vapor Deposition (iCVD)
Using initiated chemical vapor deposition (iCVD), organic and hybrid thin films can form directly on substrates of virtually any composition and geometry. Free‐radical polymerization of adsorbed monomers is initiated by vapor phase radicals formed by thermal decomposition.
Karen K. Gleason
wiley +1 more source
Nanoprobe Based Information Processing: Nanoprobe‐Electronics
Probe‐based magnetic tunnel junction (MTJ) devices are demonstrated. Spin‐polarized currents from tiny scalable size of probe tip can change the magnetization direction. Abstract With computational architectures becoming data‐centric and with the rise of in‐memory computing, the role of memory will be ever more crucial.
Bao Yi, Long You, Jeongmin Hong
wiley +1 more source
Hiding Information for Secure and Covert Data Storage in Commercial ReRAM Chips [PDF]
This article introduces a novel, low-cost technique for hiding data in commercially available resistive-RAM (ReRAM) chips. The data is kept hidden in ReRAM cells by manipulating its analog physical properties through switching (set/reset) operations ...
F. Ferdaus +2 more
semanticscholar +1 more source
The Role of Polymers in Halide Perovskite Resistive Switching Devices. [PDF]
Thien GSH, Chan KY, Marlinda AR.
europepmc +1 more source
ReDy: A Novel ReRAM-centric Dynamic Quantization Approach for Energy-efficient CNNs
Deep Neural Networks (DNNs) have achieved enormous success for a large variety of applications. The primary operation in DNNs is the dot product of quantized input activations and weights.
Mohammad Sabri Abrebekoh +2 more
semanticscholar +1 more source
Compute-in-Memory for Numerical Computations. [PDF]
Zhao D +11 more
europepmc +1 more source
Spiking CMOS-NVM mixed-signal neuromorphic ConvNet with circuit- and training-optimized temporal subsampling. [PDF]
Dorzhigulov A, Saxena V.
europepmc +1 more source
Investigation of switching uniformity in resistive memory via finite element simulation of conductive-filament formation. [PDF]
Min K, Jung D, Kwon Y.
europepmc +1 more source

