Results 251 to 260 of about 556,811 (333)

Research on Resistive Switching Mechanism of SnO2/SnS2 Based Heterojunction Memory Devices

open access: yesAdvanced Electronic Materials, EarlyView.
This work fabricates SnO2/SnS2 RRAM using (NH4)4Sn2S6, achieving 224 pJ set energy at 0.4 V with >1000‐cycle stability and 4 × 104 s retention. XPS/SEM/AFM‐validated interfacial engineering enables uniform switching, advancing low‐power neuromorphic memory development.
WenBin Liu   +4 more
wiley   +1 more source

Mapping the neural and molecular basis underlying fatigue in Parkinson's disease. [PDF]

open access: yesNPJ Parkinsons Dis
Yang F   +12 more
europepmc   +1 more source

Neuromorphic Motor Control with Electrolyte‐Gated Organic Synaptic Transistors

open access: yesAdvanced Electronic Materials, EarlyView.
Electrolyte‐gated organic synaptic transistor (EGOST)‐based neuromorphic motor control systems integrate sensing, processing, and actuation by mimicking biological synapses. With advantages such as low power consumption, tunable synaptic plasticity, and mechanical flexibility, they are emerging as next‐generation core technologies for real‐time ...
Sung‐Hwan Kim   +3 more
wiley   +1 more source

The Calcium-Binding Protein S100A10 (p11) Is Required for Normal Motor Performance by Regulating Vesicle Dynamics at Excitatory Synapses. [PDF]

open access: yesActa Physiol (Oxf)
Vilches-Herrando E   +7 more
europepmc   +1 more source

Reconfigurable, Non‐Volatile Switching in WO3 Film for Resistive Memory and Multistate Programming Toward Energy‐Efficient Neuromorphic Computing Applications

open access: yesAdvanced Electronic Materials, EarlyView.
WO3${\rm WO}_3$ based resistive switching device was precisely controlled and shows the reconfigurable, non‐volatile switching which can be programmable to multi‐resistance states for memory applications. The memory device can also be utilised for low energy neuromorphic application.
Keval Hadiyal   +2 more
wiley   +1 more source

Conformational dynamics of a nicotinic receptor neurotransmitter site

open access: gold
Mrityunjay Singh   +4 more
openalex   +1 more source

Designing Memristive Materials for Artificial Dynamic Intelligence

open access: yesAdvanced Intelligent Discovery, EarlyView.
Key characteristics required of memristors for realizing next‐generation computing, along with modeling approaches employed to analyze their underlying mechanisms. These modeling techniques span from the atomic scale to the array scale and cover temporal scales ranging from picoseconds to microseconds. Hardware architectures inspired by neural networks
Youngmin Kim, Ho Won Jang
wiley   +1 more source

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