Results 1 to 10 of about 18,384 (300)

Novel InGaSb/AlP Quantum Dots for Non-Volatile Memories [PDF]

open access: yesNanomaterials, 2022
Non-volatile memories based on the flash architecture with self-assembled III–V quantum dots (SAQDs) used as a floating gate are one of the prospective directions for universal memories.
Demid S. Abramkin, Victor V. Atuchin
doaj   +5 more sources

Gray counters for non-volatile memories

open access: yesMemories - Materials, Devices, Circuits and Systems, 2022
New technologies for non-volatile memories combine the speed and byte addressability of current memory technologies with the low cost, density, and non-volatility of current storage technologies. They use energy only when writing or reading data.
Arockia David Roy Kulandai   +2 more
doaj   +3 more sources

A BaTiO3-based flexible ferroelectric capacitor for non-volatile memories

open access: yesJournal of Materiomics
BaTiO3 (BTO) ferroelectric films, which are renowned for their lead-free compositions, superior stability, and absence of a wake-up effect, are promising candidate materials in the field of non-volatile memories.
Xingpeng Liu   +8 more
doaj   +2 more sources

Memory devices—Non-volatile memories

open access: yes, 2023
In this entry, the most important non-volatile memories used for a wide variety of applications are presented, with detailed information on their structural and functional properties. The first part addresses charge-based memories, including read-only memories, electrically programmable read-only memories, electrically erasable and programmable read ...
Gnani, Elena, Baccarani, Giorgio
openaire   +3 more sources

Nano-Graphitic based Non-Volatile Memories Fabricated by the Dynamic Spray-Gun Deposition Method [PDF]

open access: yesMicromachines, 2019
This paper deals with the fabrication of Resistive Random Access Memory (ReRAM) based on oxidized carbon nanofibers (CNFs). Stable suspensions of oxidized CNFs have been prepared in water and sprayed on an appropriate substrate, using the dynamic spray ...
Paolo Bondavalli   +5 more
doaj   +2 more sources

Towards the Development of Flexible Non‐Volatile Memories

open access: yesAdvanced Materials, 2013
Flexible non‐volatile memories have attracted tremendous attentions for data storage for future electronics application. From device perspective, the advantages of flexible memory devices include thin, lightweight, printable, foldable and stretchable ...
Su-Ting Han   +2 more
exaly   +2 more sources

Recent advances in ferroelectric materials, devices, and in-memory computing applications [PDF]

open access: yesNano Convergence
Ferroelectric memories have undergone a transformative evolution from conventional perovskite-based materials to modern fluorite-structured ferroelectrics, driven by the pursuit of scalable, low-power, and CMOS-compatible non-volatile memory solutions ...
Hwiho Hwang, Sangwook Youn, Hyungjin Kim
doaj   +2 more sources

A BIST Scheme for Non-Volatile Memories

open access: yesJournal of Electronic Testing, 1998
A new BIST scheme for on-chip testing of non-volatile memories and based on signature analysis is presented. The signature of the whole memory, whose content can be changed selectively by the user, is dynamically self-learned by the memory and it is saved in a dedicated memory location.
OLIVO, Piero, DALPASSO M.
openaire   +5 more sources

Heterogeneous III-V/Si micro-ring laser array with multi-state non-volatile memory for ternary content-addressable memories [PDF]

open access: yesNature Communications
In this work, we introduce programmable memory elements embedded within III-V/Si light sources which facilitate non-volatile wavelength tuning. These non-volatile III-V/Si micro-ring lasers (MRLs) exhibit non-volatile wavelength shifts of  ~80 pm with ...
Stanley Cheung   +10 more
doaj   +2 more sources

2D (NH4)BiI3 enables non-volatile optoelectronic memories for machine learning [PDF]

open access: yesNature Communications
Machine learning is the core of artificial intelligence. Using optical signals for training and converting them into electrical signals for inference, combines the strengths of both, and thus can greatly improve machine learning efficiency ...
Bo Tong   +15 more
doaj   +2 more sources

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