Results 61 to 70 of about 10,988 (267)
Operando Tracking of Oxygen‐Vacancy Dynamics and Negative Capacitance in Ca‐Doped BiFeO3
Operando electrochemical impedance spectroscopy, combined with electrocoloration, enables a direct correlation between real‐space ionic redistribution and the corresponding frequency‐domain electrical response. In lateral Ca‐doped BiFeO3 devices, time‐resolved impedance snapshots capture the evolution from bulk‐dominated mixed conduction to an ...
Jeonghun Suh +3 more
wiley +1 more source
Low‐frequency noise spectroscopy defines the resolvable conductance states of synaptic FeFETs by coupling read‐current fluctuation with usable dynamic range. The resulting noise‐limited bit precision establishes a universal, device‐agnostic reliability metric beyond the memory window, enabling quantitative benchmarking and rational design of high ...
Jaehong Park +12 more
wiley +1 more source
This study develops a tunable n‐OSC hydrogel (PBFDO‐PAAc) platform with a tunable porous network and thermoelectric properties. It demonstrates the first report of n‐OSC hydrogels for evaporation‐driven hydrovoltaic‐thermoelectric electricity generation as well as chemically dedoping‐mediated OECT working mode reconfiguration. This work expands n‐OSCs’
Zhenli Zhou +9 more
wiley +1 more source
Simulating brain-scale networks digitally is often hindered by extensive memory access. In this context, using low-precision data types and more efficient models to represent state variables is a viable alternative to improve the scalability of the ...
Pablo Urbizagastegui +2 more
doaj +1 more source
A scalable, solution‐processed WSe2/ZrO2‐x van der Waals heterostructure realizes a light‐induced field‐tunneling synapse (LIFTS) that activates exclusively under bright illumination, emulating the photopic adaptation of the human retina at the device level.
Kijeong Nam +10 more
wiley +1 more source
Neuromorphic Sequential Arena: A Benchmark for Neuromorphic Temporal Processing
Temporal processing is vital for extracting meaningful information from time-varying signals. Recent advancements in Spiking Neural Networks (SNNs) have shown immense promise in efficiently processing these signals. However, progress in this field has been impeded by the lack of effective and standardized benchmarks, which complicates the consistent ...
Xinyi Chen +4 more
openaire +2 more sources
Memristive‐Gated RC‐Delay Synaptic Transistors for Time‐Encoded Analog in‐Memory Computing
A Memristive‐Gated Transistor for Time‐Encoded Analog In‐Memory Computing — By exploiting the RC delay of a self‐rectifying interface‐type memristor, nonlinear I–V distortion is structurally bypassed, enabling 3‐bit nonvolatile memory, spike‐timing‐based analog encoding, and hardware‐calibrated reservoir‐computing validation within a unified device ...
Yun‐Seo Shin +7 more
wiley +1 more source
Ferroelectric Quantum Dots for Retinomorphic In‐Sensor Computing
This work has provided a protocol for fabricating retinomorphic phototransistors by integrating ferroelectric ligands with quantum dots. The resulting device combines ferroelectricity, optical responsiveness, and low‐power operation to enable adaptive signal amplification and high recognition accuracy under low‐light conditions, while supporting ...
Tingyu Long +26 more
wiley +1 more source
Biomechanical Modeling of Finger Joints Based on Dimeric Kinematics
In the literature, the proximal and distal interphalangeal joints (PIP and DIP) are usually described as singleaxis hinge joints, whereas the metacarpophalangeal (MCP) joint is typically described as a two-axis joint.
Franke Marc, Bogdan Martin
doaj +1 more source

