Results 41 to 50 of about 4,441 (253)

Self-Powered Memristive Systems for Storage and Neuromorphic Computing

open access: yesFrontiers in Neuroscience, 2021
A neuromorphic computing chip that can imitate the human brain’s ability to process multiple types of data simultaneously could fundamentally innovate and improve the von-neumann computer architecture, which has been criticized.
Jiajuan Shi   +7 more
doaj   +1 more source

Solution‐Processed Two‐Dimensional Indium Oxide on Sodium‐Embedded Alumina for Reconfigurable Optoelectronic Synaptic Transistors

open access: yesAdvanced Functional Materials, EarlyView.
Wafer‐scale two‐dimensioanl In2Se3 oxidized into InOx on sodium‐embedded beta‐alumina enables multifunctional reconfigurable electronics. Sodium ions accumulate within distinct spatial distribution under drain‐controlle and gate‐controlled operation. Drain‐control operation gives controllability of ultraviolet‐driven optoelectronic synaptic conductance
Jinhong Min   +13 more
wiley   +1 more source

Giant Ferroelectric Resistance Switching Controlled by a Modulatory Terminal for Low‐Power Neuromorphic In‐Memory Computing

open access: yesAdvanced Materials, 2021
AbstractFerroelectrics have been demonstrated as excellent building blocks for high‐performance nonvolatile memories, including memristors, which play critical roles in the hardware implementation of artificial synapses and in‐memory computing. Here, it is reported that the emerging van der Waals ferroelectric α‐In2Se3 can be used to successfully ...
Fei Xue   +15 more
openaire   +3 more sources

Historical Foundation and Practical Guideline for Ferroelectric Switching Kinetic Studies

open access: yesAdvanced Functional Materials, EarlyView.
The P and U pulses in the conventional PUND measurements are not identical because of the interplay between switching current and the measurement circuit components. This circuit effect can lead to a shift in polarization transients and misinterpreted physics in the switching kinetics.
Yi Liang, Pat Kezer, John T. Heron
wiley   +1 more source

Schottky Barrier MOSFET Enabled Ultra-Low Power Real-Time Neuron for Neuromorphic Computing

open access: yes2023 7th IEEE Electron Devices Technology & Manufacturing Conference (EDTM), 2023
Energy-efficient real-time synapses and neurons are essential to enable large-scale neuromorphic computing. In this paper, we propose and demonstrate the Schottky-Barrier MOSFET-based ultra-low power voltage-controlled current source to enable real-time neurons for neuromorphic computing.
Shubham Patil   +7 more
openaire   +2 more sources

Effect of Optical Illumination on Bubble Nanodomains

open access: yesAdvanced Functional Materials, EarlyView.
Stable surface‐confined nanoscale bubble domains are created and manipulated in PMN‐PT single crystals. Under above‐bandgap illumination, these bubble nanodomains remain unchanged. However, upon illumination cessation, they rapidly expand to switch the entire crystal surface, due to the accumulation of a large reservoir of electrons at the crystal ...
Haoze Zhang   +8 more
wiley   +1 more source

Performance Enhancement of Tin Chloride‐Incorporated Ferroelectric Polymer‐Based Artificial Synapse for Hardware Neural Networks

open access: yesAdvanced Functional Materials, EarlyView.
This paper proposes a highly efficient ferroelectric artificial synapse device based on an oxide semiconductor and SnCl2‐inserted P(VDF‐TrFE) gate dielectric layer. This FeFET significantly improved the synaptic performance due to the ion‐dipole interaction.
Hyun‐Soo Kim   +14 more
wiley   +1 more source

Van der Waals materials-based floating gate memory for neuromorphic computing

open access: yesChip, 2023
: With the advent of the “Big Data Era”, improving data storage density and computation speed has become more and more urgent due to the rapid growth in different types of data.
Qianyu Zhang   +5 more
doaj   +1 more source

Polarization‐Dependent Synaptic‐Like Electro‐Optical Response in Ferroelectric Nematic Liquid Crystals

open access: yesAdvanced Functional Materials, EarlyView.
Ferroelectric nematic liquid crystals (FNLCs) offer fast, tunable polarization and low‐voltage operation but suffer from poor polarization retention at zero field. Semiconductor‐modified FNLCs enhance polarization retention and exhibit short‐ and long‐term electro‐optical responses, while also supporting spike‐type signal integrations.
Kutay Sagdic, Weiming Yao, Danqing Liu
wiley   +1 more source

LiNbO3-based memristors for neuromorphic computing applications: a review

open access: yesFrontiers in Electronic Materials
Neuromorphic computing is a promising paradigm for developing energy-efficient and high-performance artificial intelligence systems. The unique properties of lithium niobate-based (LiNbO3)-based memristors, such as low power consumption, non-volatility ...
Caxton Griffith Kibebe, Yue Liu
doaj   +1 more source

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