Memristor modeling: challenges in theories, simulations, and device variability

L Gao, Q Ren, J Sun, ST Han, Y Zhou - Journal of Materials Chemistry …, 2021 - pubs.rsc.org
This article presents a review of the current development and challenges in memristor
modeling. We review the mechanisms of memristive devices based on various …

Nanomaterials for flexible neuromorphics

G Ding, H Li, JY Zhao, K Zhou, Y Zhai, Z Lv… - Chemical …, 2024 - ACS Publications
The quest to imbue machines with intelligence akin to that of humans, through the
development of adaptable neuromorphic devices and the creation of artificial neural …

Adaptive extreme edge computing for wearable devices

E Covi, E Donati, X Liang, D Kappel… - Frontiers in …, 2021 - frontiersin.org
Wearable devices are a fast-growing technology with impact on personal healthcare for both
society and economy. Due to the widespread of sensors in pervasive and distributed …

Brain-inspired computing via memory device physics

D Ielmini, Z Wang, Y Liu - APL Materials, 2021 - pubs.aip.org
In our brain, information is exchanged among neurons in the form of spikes where both the
space (which neuron fires) and time (when the neuron fires) contain relevant information …

Halide Perovskites‐Based Diffusive Memristors for Artificial Mechano‐Nociceptive System

IH Im, JH Baek, SJ Kim, J Kim, SH Park… - Advanced …, 2024 - Wiley Online Library
Numerous efforts for emulating organ systems comprised of multiple functional units have
driven substantial advancements in bio‐realistic electronics and systems. The resistance …

Atomic threshold-switching enabled MoS2 transistors towards ultralow-power electronics

Q Hua, G Gao, C Jiang, J Yu, J Sun, T Zhang… - Nature …, 2020 - nature.com
Power dissipation is a fundamental issue for future chip-based electronics. As promising
channel materials, two-dimensional semiconductors show excellent capabilities of scaling …

Reconfigurable Low-Power TiO2 Memristor for Integration of Artificial Synapse and Nociceptor

MC Sahu, AK Jena, SK Mallik, S Roy… - … Applied Materials & …, 2023 - ACS Publications
Bio-mimetic advanced electronic systems are emerging rapidly, engrossing their
applications in neuromorphic computing, humanoid robotics, tactile sensors, and so forth …

Biomaterial-based nonvolatile resistive memory devices toward ecofriendliness and biocompatibility

MM Rehman, HMM ur Rehman, WY Kim… - ACS Applied …, 2021 - ACS Publications
Advancement in electronic industry has revolutionized the lifestyle of mankind at the cost of
leaving adverse effects on the environment due to the use of toxic and nondegradable …

On the thermal models for resistive random access memory circuit simulation

JB Roldán, G González-Cordero, R Picos, E Miranda… - Nanomaterials, 2021 - mdpi.com
Resistive Random Access Memories (RRAMs) are based on resistive switching (RS)
operation and exhibit a set of technological features that make them ideal candidates for …

Achieving microstructure‐controlled synaptic plasticity and long‐term retention in ion‐gel‐gated organic synaptic transistors

GT Go, Y Lee, DG Seo, M Pei, W Lee… - Advanced Intelligent …, 2020 - Wiley Online Library
Organic synaptic transistors using intrinsic (ie, non‐doped) organic semiconductors have
demonstrated various synaptic functions to mimic biological synapses, but the devices show …