Architecture and process integration overview of 3D NAND flash technologies

GH Lee, S Hwang, J Yu, H Kim - Applied Sciences, 2021 - mdpi.com
In the past few decades, NAND flash memory has been one of the most successful
nonvolatile storage technologies, and it is commonly used in electronic devices because of …

Cointegration of single-transistor neurons and synapses by nanoscale CMOS fabrication for highly scalable neuromorphic hardware

JK Han, J Oh, GJ Yun, D Yoo, MS Kim, JM Yu… - Science …, 2021 - science.org
Cointegration of multistate single-transistor neurons and synapses was demonstrated for
highly scalable neuromorphic hardware, using nanoscale complementary metal-oxide …

Multilevel switching memristor by compliance current adjustment for off-chip training of neuromorphic system

TH Kim, S Kim, K Hong, J Park, Y Hwang… - Chaos, Solitons & …, 2021 - Elsevier
Multilevel operation is one of the most essential properties for synaptic devices to realize
hardware artificial neural networks. Compliance current (I cc) adjustment is a multilevel …

A bioinspired artificial gustatory neuron for a neuromorphic based electronic tongue

JK Han, SC Park, JM Yu, JH Ahn, YK Choi - Nano Letters, 2022 - ACS Publications
A novel biomimicked neuromorphic sensor for an energy efficient and highly scalable
electronic tongue (E-tongue) is demonstrated with a metal-oxide-semiconductor field-effect …

Synaptic Transistor Based on In‐Ga‐Zn‐O Channel and Trap Layers with Highly Linear Conductance Modulation for Neuromorphic Computing

J Park, Y Jang, J Lee, S An, J Mok… - Advanced Electronic …, 2023 - Wiley Online Library
Brain‐inspired neuromorphic computing has drawn significant attraction as a promising
technology beyond von Neumann architecture by using the parallel structure of synapses …

Self‐Powered Artificial Mechanoreceptor Based on Triboelectrification for a Neuromorphic Tactile System

JK Han, IW Tcho, SB Jeon, JM Yu, WG Kim… - Advanced …, 2022 - Wiley Online Library
A self‐powered artificial mechanoreceptor module is demonstrated with a triboelectric
nanogenerator (TENG) as a pressure sensor with sustainable energy harvesting and a …

Memcapacitor crossbar array with charge trap NAND flash structure for neuromorphic computing

S Hwang, J Yu, MS Song, H Hwang… - Advanced Science, 2023 - Wiley Online Library
The progress of artificial intelligence and the development of large‐scale neural networks
have significantly increased computational costs and energy consumption. To address these …

Artificial multisensory neuron with a single transistor for multimodal perception through hybrid visual and thermal sensing

JK Han, SY Yun, JM Yu, SB Jeon… - ACS Applied Materials & …, 2023 - ACS Publications
An artificial multisensory device applicable to in-sensor computing is demonstrated with a
single-transistor neuron (1T-neuron) for multimodal perception. It simultaneously receives …

Capacitor-based synaptic devices for hardware spiking neural networks

S Hwang, J Yu, GH Lee, MS Song… - IEEE Electron …, 2022 - ieeexplore.ieee.org
In this work, we present a hardware neural network with capacitor-based synaptic devices. A
capacitor-based synaptic device was developed using a MOS capacitor structure with a …

[HTML][HTML] Comphy v3. 0—A compact-physics framework for modeling charge trap** related reliability phenomena in MOS devices

D Waldhoer, C Schleich, J Michl, A Grill, D Claes… - Microelectronics …, 2023 - Elsevier
Charge trap** plays an important role for the reliability of electronic devices and manifests
itself in various phenomena like bias temperature instability (BTI), random telegraph noise …