Results 81 to 90 of about 1,128,514 (290)
Neuromorphic Computing with Memcapacitors: Advancements, Challenges, and Future Directions
Neuromorphic computing reduces energy costs by integrating memory and processing in event‐driven architectures, achieving energy usage as low as 10–30 pJ per operation for memcapacitor‐based synapses. Memcapacitors are reviewed as strong contenders for neuromorphic computing, enhancing AI acceleration through charge‐based computations, high resistance,
Nada AbuHamra +4 more
wiley +1 more source
Li‐free ASSBs offer high energy and safety but rely on costly noble metals (e.g. Ag) for stable cycling. This study shows that lithiophilicity alone cannot ensure stable Li morphology. By engineering interfacial design to spatially guide Li nucleation and growth, cost‐effective metals are reactivated for dense, aligned deposition—unlocking a broader ...
Dayoung Jun +8 more
wiley +1 more source
As renewable energy becomes more widespread, the uncertainty of its output poses serious challenges for peak and frequency regulation of the power system. Evaluating a grid’s capacity to integrate renewable energy sources can provide an early-warning and
Zhi Zhang +6 more
doaj +1 more source
This review clarifies the multiscale coupling mechanisms between macroscopic mechanics (e.g., surface tension, fluid shear, interfacial stress) and atomic assembly, highlighting the importance of mechanical regulation in suppressing solute aggregation and guiding crystal orientation.
Xiangzhe Li +5 more
wiley +1 more source
We innovatively designed coumarin‐based probe TXDS, constructing superior AIE via intramolecular conformational regulation. TXDS enables sensitive Hg2⁺ detection (0.1–1 µM) with 100 nm Stokes shift and dual‐mode capability. Colorimetric sensing extends the range 10‐fold, combining a wide dynamic range with high sensitivity.
Huaqing Zhang +3 more
wiley +1 more source
Designing Memristive Materials for Artificial Dynamic Intelligence
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
Memristors based on trimethylsulfonium (phenanthroline)tetraiodobismuthate have been utilised as a nonlinear node in a delayed feedback reservoir. This system allowed an efficient classification of acoustic signals, namely differentiation of vocalisation of the brushtail possum (Trichosurus vulpecula).
Ewelina Cechosz +4 more
wiley +1 more source
Power systems exhibit nonlinearity. causing dynamic instability and complex power oscillations. This research proposes an innovative strategy using the Novel Bat Algorithm (NBA) to achieve ideal Power System Stabilizers (PSSs) in a multimachine power ...
Mohammed Tadj +6 more
doaj +1 more source
Magnetic soft robots offer promise in biomedicine due to their wireless actuation and rapid response, but current fabrication methods are complex and have limited cellular compatibility. A new, contactless bioassembly strategy using hydrodynamic instabilities is introduced, enabling customizable, centimeter‐scale robots.
Wei Gao +5 more
wiley +1 more source
A two-degree-of-freedom shape memory oscillator derived using polynomial constitutive model is investigated. Periodic, quasiperiodic, chaotic, and hyperchaotic oscillations are shown by the shape memory alloy based oscillator for selected values of the ...
K. Rajagopal +3 more
semanticscholar +1 more source

