ABO 3 multiferroic perovskite materials for memristive memory and neuromorphic computing

B Sun, G Zhou, L Sun, H Zhao, Y Chen, F Yang… - Nanoscale …, 2021 - pubs.rsc.org
The unique electron spin, transfer, polarization and magnetoelectric coupling characteristics
of ABO3 multiferroic perovskite materials make them promising candidates for application in …

Advancement in soft iontronic resistive memory devices and their application for neuromorphic computing

MU Khan, J Kim, MY Chougale… - Advanced Intelligent …, 2023 - Wiley Online Library
The aqueous electrolyte can be a deformable and stretchable liquid material for iontronic
resistive memory devices. An aqueous medium makes a device closer to the brain‐like …

Fluoropolymer-based organic memristor with multifunctionality for flexible neural network system

MH Kim, HL Park, MH Kim, J Jang, JH Bae… - npj Flexible …, 2021 - nature.com
In this study, we propose an effective strategy for achieving the flexible one organic
transistor–one organic memristor (1T–1R) synapse using the multifunctional organic …

Amorphous boron nitride memristive device for high-density memory and neuromorphic computing applications

AC Khot, TD Dongale, KA Nirmal, JH Sung… - … Applied Materials & …, 2022 - ACS Publications
Although two-dimensional (2D) nanomaterials are promising candidates for use in memory
and synaptic devices owing to their unique physical, chemical, and electrical properties, the …

Reliable organic memristors for neuromorphic computing by predefining a localized ion-migration path in crosslinkable polymer

HL Park, MH Kim, MH Kim, SH Lee - Nanoscale, 2020 - pubs.rsc.org
In flexible neuromorphic systems for realizing artificial intelligence, organic memristors are
essential building blocks as artificial synapses to perform information processing and …

Implementation of reservoir computing using volatile WOx-based memristor

D Kim, J Shin, S Kim - Applied Surface Science, 2022 - Elsevier
In this study, we investigate a Ni/WO x/ITO-glass memristor device to verify short-term
memory characteristics for reservoir computing systems. We verify the chemical and material …

Tunable Synaptic Characteristics of a Ti/TiO2/Si Memory Device for Reservoir Computing

J Yang, H Cho, H Ryu, M Ismail… - ACS Applied Materials …, 2021 - ACS Publications
In this study, we fabricate and characterize a Ti/TiO2/Si device with different dopant
concentrations on a silicon surface for neuromorphic systems. We verify the device stack …

Biodegradable and flexible polymer‐based memristor possessing optimized synaptic plasticity for eco‐friendly wearable neural networks with high energy efficiency

S Oh, H Kim, SE Kim, MH Kim… - Advanced Intelligent …, 2023 - Wiley Online Library
Organic memristors are promising candidates for the flexible synaptic components of
wearable intelligent systems. With heightened concerns for the environment, considerable …

Neuromorphic synapses with high switching uniformity and multilevel memory storage enabled through a Hf-Al-O alloy for artificial intelligence

M Ismail, C Mahata, O Kwon, S Kim - ACS Applied Electronic …, 2022 - ACS Publications
Due to their high data-storage capability, oxide-based memristors with controllable
conductance properties have attracted great interest in electronic devices for high …

Ni Single‐Atoms Based Memristors with Ultrafast Speed and Ultralong Data Retention

HX Li, QX Li, FZ Li, JP Liu, GD Gong… - Advanced …, 2024 - Wiley Online Library
Memristor with low‐power, high density, and scalability fulfills the requirements of the
applications of the new computing system beyond Moore's law. However, there are still …