Results 91 to 100 of about 605,555 (344)
Numerical and Experimental Methods for Estimating the Propagation Loss in Microphotonic Waveguides
Advanced Photonics Research, EarlyView.Finite‐element finite‐difference time domain, eigenmode‐expansion, and volume‐current simulations are benchmarked against cut‐back, ring‐resonator, and OFDR measurements to quantify waveguide propagation loss in integrated photonic circuits. Scattering, absorption, leakage, and back‐reflection contributions are dissected; error sources are ranked; and ...
Francesco Dell’Olio +4 more
wiley +1 more source
Sparsity-Based Kalman Filters for Data Assimilation [PDF]
, 2018 Several variations of the Kalman filter algorithm, such as the extended Kalman filter (EKF) and the unscented Kalman filter (UKF), are widely used in science and engineering applications.
Kang, Wei, Xu, Liang
core +1 more source
Assimilation of Lagrangian data in oceanography [PDF]
PAMM, 2007 AbstractWithin the framework of Global Ocean Data Assimilation Experiment (GODAE), an increasing amount of data are available. A crucial issue for oceanographers is to exploit at best these observations, in order to improve models, climatology, forecasts, etc.
openaire +3 more sources
Liquid Crystalline Elastomers in Soft Robotics: Assessing Promise and Limitations
Advanced Robotics Research, EarlyView.Liquid crystalline elastomers (LCEs) are programmable soft materials that undergo large, anisotropic deformation in response to external stimuli. Their molecular alignment encodes directional actuation in a monolithic structure, making them long‐standing candidates for soft robotic systems.
Justin M. Speregen, Timothy J. White
wiley +1 more source
Forecast of Spectral Features by Ensemble Data Assimilation
Frontiers in Applied Mathematics and Statistics, 2018 Data assimilation permits to compute optimal forecasts in high-dimensional systems as, e.g., in weather forecasting. Typically such forecasts are spatially distributed time series of system variables. We hypothesize that such forecasts are not optimal if
Axel Hutt +3 more
doaj +1 more source
Reduction of complexity and variational data assimilation [PDF]
, 2015 Conferencia plenaria por invitaciónReduced basis methods belong to a class of approaches of \emph{model reduction} for the approximation of the solution of mathematical models involved in many fields of research or decision making and in data ...
Maday, Yvon
core
Development of a data assimilation algorithm
Computers & Mathematics with Applications, 2008 AbstractIt is important to incorporate all available observations when large-scale mathematical models arising in different fields of science and engineering are used to study various physical and chemical processes. Variational data assimilation techniques can be used in the attempts to utilize efficiently observations in a large-scale model (for ...
Thomsen, Per Grove, Zlatev, Zahari
openaire +3 more sources
Corn Zein Nanocarriers for Agrochemical Delivery and Smart Packaging
Advanced Sustainable Systems, EarlyView.This review explores zein, a corn‐derived biodegradable protein, as a multifunctional nanocarrier for sustainable agriculture and packaging. It examines advances in agrochemical delivery, smart packaging, and stimuli‐responsive systems, while addressing scalability, environmental fate, and regulatory barriers.
Muhammad Shahidul Islam +2 more
wiley +1 more source
Tropopause sharpening by data assimilation [PDF]
Geophysical Research Letters, 2016 AbstractData assimilation was recently suggested to smooth out the sharp gradients that characterize the tropopause inversion layer (TIL) in systems that did not assimilate TIL‐resolving observations. We investigate whether this effect is present in the ERA‐Interim reanalysis and the European Centre for Medium‐Range Weather Forecasts (ECMWF ...
R. Pilch Kedzierski +3 more
openaire +4 more sources
Advanced Science, EarlyView.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