Memristor modeling: challenges in theories, simulations, and device variability
This article presents a review of the current development and challenges in memristor
modeling. We review the mechanisms of memristive devices based on various …
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 …
development of adaptable neuromorphic devices and the creation of artificial neural …
Adaptive extreme edge computing for wearable devices
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 …
society and economy. Due to the widespread of sensors in pervasive and distributed …
Brain-inspired computing via memory device physics
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 …
space (which neuron fires) and time (when the neuron fires) contain relevant information …
Halide Perovskites‐Based Diffusive Memristors for Artificial Mechano‐Nociceptive System
Numerous efforts for emulating organ systems comprised of multiple functional units have
driven substantial advancements in bio‐realistic electronics and systems. The resistance …
driven substantial advancements in bio‐realistic electronics and systems. The resistance …
Atomic threshold-switching enabled MoS2 transistors towards ultralow-power electronics
Power dissipation is a fundamental issue for future chip-based electronics. As promising
channel materials, two-dimensional semiconductors show excellent capabilities of scaling …
channel materials, two-dimensional semiconductors show excellent capabilities of scaling …
Reconfigurable Low-Power TiO2 Memristor for Integration of Artificial Synapse and Nociceptor
Bio-mimetic advanced electronic systems are emerging rapidly, engrossing their
applications in neuromorphic computing, humanoid robotics, tactile sensors, and so forth …
applications in neuromorphic computing, humanoid robotics, tactile sensors, and so forth …
Biomaterial-based nonvolatile resistive memory devices toward ecofriendliness and biocompatibility
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 …
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
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 …
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
Organic synaptic transistors using intrinsic (ie, non‐doped) organic semiconductors have
demonstrated various synaptic functions to mimic biological synapses, but the devices show …
demonstrated various synaptic functions to mimic biological synapses, but the devices show …