Results 21 to 30 of about 70,235 (224)
Recent Advances in χ(2)‐Based Nonlinear Frequency Conversion of Fiber Lasers
Visible and mid‐infrared fiber lasers, enabled by nonlinear frequency conversion of fiber lasers, offer several advantages such as high efficiency, excellent wavelength tunability, high power, and superior beam quality that are highly desirable for practical applications. This study provides a comprehensive review of recent research progress in the χ(2)
Bing Han+10 more
wiley +1 more source
This work reports a nanoplasmonic biosensing platform with exceptional surface sensitivity (0.618 nm nm−1, Δn = 0.117 nmol) and narrow linewidth (≈20 nm) under normal incidence. By integrating a miscellaneous‐protein strategy with initial rate analysis (IRA), this sensor can detect 1 ng mL−1 of AFP in serum with a broad linear range (1–104 ng mL−1 ...
Yi Liu+6 more
wiley +1 more source
Effects of additive noise on the stability of glacial cycles
It is well acknowledged that the sequence of glacial-interglacial cycles is paced by the astronomical forcing. However, how much is the sequence robust against natural fluctuations associated, for example, with the chaotic motions of atmosphere and ...
Crucifix, Michel, Mitsui, Takahito
core +1 more source
Here, our novel model that integrates metabolism with motility dynamics reveals that microalgae shift bacterial movement toward Lévy flight patterns, enhancing encounter rates and self‐aggregation. This microecological manipulation reduces energy costs, strengthens functions such as pollutant removal and system stability.
Luyu Zhang+7 more
wiley +1 more source
This article presents an insightful review on the exploitable nexus of geometry, folding mechanics and stimuli‐responsive physics for achieving active programmability in tubular origami metamaterials and metastructures, highlighting the broad‐spectrum potential in innovative applications across the length scales, along with critically analysing the ...
A. Sharma, S. Naskar, T. Mukhopadhyay
wiley +1 more source
Effect of Random Parameter Switching on Commensurate Fractional Order Chaotic Systems
The paper explores the effect of random parameter switching in a fractional order (FO) unified chaotic system which captures the dynamics of three popular sub-classes of chaotic systems i.e. Lorenz, Lu and Chen's family of attractors.
Das, Saptarshi+2 more
core +1 more source
Optimal Chirality Enhances Long‐Range Fluctuation‐Induced Interactions in Active Fluids
Chiral active particles move along curved trajectories arising from the interplay of propulsion and self‐rotation. How chirality influences fluctuation‐induced forces in active matter systems remains unclear. It is shown that particle shape dictates this effect: chirality suppresses forces for circular particles but can enhance them for elongated ones,
Hashem Fatemi+3 more
wiley +1 more source
Mapping uncertainty using differentiable programming
Abstract Uncertainty quantification (UQ) and propagation is a ubiquitous challenge in science, permeating our field in a general fashion, and its importance cannot be overstated. Recently, the commoditization of differentiable programming, motivated by the development of machine learning, has allowed easier access to tools for evaluating derivatives of
Victor Alves+3 more
wiley +1 more source
Chaotic Griffiths Phase with Anomalous Lyapunov Spectra in Coupled Map Networks
Dynamics of coupled chaotic oscillators on a network are studied using coupled maps. Within a broad range of parameter values representing the coupling strength or the degree of elements, the system repeats formation and split of coherent clusters.
Kaneko, Kunihiko, Shinoda, Kenji
core +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