Results 91 to 100 of about 39,793 (262)
A pilot variational coupled reanalysis based on the CESAM climate model
Variational data assimilation of in‐situ and satellite ocean data and reanalysis atmospheric data into an intermediate complexity Earth system model is possible by adjusting the surface fluxes and internal model parameters. This pilot application requires nearly complete information on the atmospheric state for synchronization.
Armin Köhl +6 more
wiley +1 more source
We propose a new method for treating different timescales in coupled variational data assimilation for atmosphere–ocean models. The approach involves a series of short‐window coupled assimilations (red arrows in the schematic) followed by a long‐window correction to the ocean fields (blue arrow).
Amos S. Lawless +3 more
wiley +1 more source
Predicting the Longitudinal Dispersion Coefficient in Natural Streams Using Developed Artificial Neural Network Model [PDF]
The main objective of the present work is to predict the longitudinal dispersion coefficient in natural streams using a neural network (NN) model which was developed based on Quasi-Newton training functions.
Roohollah Noori +2 more
doaj
ABSTRACT Rationale Ions trapped within a Penning cell (ICR) travel periodic orbits whose frequencies are dependent on their mass‐to‐charge ratio and the value of the magnetic field passing through the trap. Fourier transformation (FT‐ICR) decomposes the signal induced in the detection circuit by the rotation of the ions in the cell after the ...
Patrick Arpino, Michel Heninger
wiley +1 more source
Multi-order analytical solving computation of rainstorm causal decomposition during typhoons using a designed key-lock quasi-Newton optimizing derivation. [PDF]
Huang CL, Hsu NS, Yao CH, Lo WC.
europepmc +1 more source
Machine learning provides a unifying framework to connect structure, fluorescence properties, and applications of carbon‐based quantum dots. This review highlights how data‐driven strategies enable fluorescence regulation, reveal underlying mechanisms, and accelerate the rational design of functional carbon dots.
Liangfeng Chen +8 more
wiley +1 more source
Minimizing electric vehicle charging costs in the microgrid using the BFGS Quasi-Newton Method [PDF]
Electric vehicles (EVs) offer a compelling solution for mitigating pollution, addressing environmental alterations, and enhancing energy security.
Badugu Jayababu +3 more
doaj +1 more source
Key Technical Fields and Future Outlooks of Space Manipulators: A Survey
This paper systematically reviews the technological development of space manipulators, emphasizing the unique challenges posed by space environments. It examines four areas: structural design, modeling, planning, and control, while introducing typical ground test platforms.
Gang Chen +12 more
wiley +1 more source
Channel estimation and extrapolation are key challenges in massive multiple-input multiple-output communications. In this paper, we propose a quasi-Newton-based joint multipath optimization approach called Quasi-Newton Orthogonal Matching Pursuit (QNOMP)
Yi Zeng +3 more
doaj +1 more source
Filling a Gap in Materials Mechanics: Nanoindentation at High Constant Strain Rates up to 105 s−1
A piezoelectric nanoindentation platform enables constant strain‐rate testing up to 105 s−1, extending experimental capabilities to extreme deformation regimes. Distinct hardness upturns are revealed across crystalline and amorphous materials, verified as intrinsic responses through quasi‐static reloading.
Lalith Kumar Bhaskar +14 more
wiley +1 more source

