Results 51 to 60 of about 1,877 (198)

Latent Diffeomorphic Dynamic Mode Decomposition [PDF]

open access: yes
We present Latent Diffeomorphic Dynamic Mode Decomposition (LDDMD), a new data reduction approach for the analysis of non-linear systems that combines the interpretability of Dynamic Mode Decomposition (DMD) with the predictive power of Recurrent Neural ...
Bertozzi, Andrea L   +2 more
core   +1 more source

Cavitation regime detection through Proper Orthogonal Decomposition: dynamics analysis of the sheet cavity on a grooved convergent-divergent nozzle [PDF]

open access: yes, 2014
The unsteady character of the sheet cavity dynamics on the suction side of hydrofoils, on convergent–divergent nozzles or on blades in turbines and propellers is responsible for many issues like erosion, noise and vibrations. This two-phase flow dynamics
DANLOS, Amélie   +7 more
core   +1 more source

Hadamard Matrix Slicing Single‐Pixel Imaging: Establishing a Linear‐Array‐Inspired Paradigm for N‐fold Acceleration Single‐Pixel Imaging

open access: yesAdvanced Science, EarlyView.
To overcome two‐dimensional modulation bottlenecks, Hadamard Matrix Slicing Single‐Pixel Imaging (HMS‐SPI) establishes an efficient one‐dimensional imaging paradigm. By slicing the traditional Hadamard matrix into one‐dimensional encoding vectors and spatially expanding them, the required measurement patterns decrease by a factor of N.
Xiaoxue Li   +8 more
wiley   +1 more source

Hardware‐Attentive Programmable Fourier Ptychography Enables Task‐Adaptive Label‐Free Virtual Staining

open access: yesAdvanced Science, EarlyView.
Task‐adaptive programmable optics enables label‐free virtual staining through optical‐attention‐guided acquisition and reconstruction. By optimizing wavelength, illumination angle, exposure time, and imaging depth, the framework learns task‐relevant optical measurements, generating clinically interpretable virtual stains with improved fidelity, non ...
Tianyue He   +13 more
wiley   +1 more source

Generalized eigenvalue approach for dynamic mode decomposition

open access: yesAIP Advances, 2021
Traditional dynamic mode decomposition (DMD) methods inevitably involve matrix inversion, which often brings in numerical instability and spurious modes.
Wei Zhang, Mingjun Wei
doaj   +1 more source

New‐Generation Integrated Devices: Multiple‐Energy Utilization and Integration Systems Based on Perovskite Photovoltaics

open access: yesEcoEnergy, EarlyView.
This review highlights emerging integrated energy systems based on perovskite photovoltaics, including PSC–thermoelectric, photovoltaic–electrochemical, self‐charging, and building‐integrated architectures. By coupling multiple energy conversion and storage pathways, these multifunctional platforms enable enhanced solar utilization, improved stability,
Yihuai Huang   +10 more
wiley   +1 more source

Mechanical stability in flexible perovskite solar cells: Interface engineering and device design

open access: yesFlexMat, EarlyView.
Statistics of the improvement methods for f‐PSCs. Abstract Flexible perovskite solar cells (f‐PSCs) demonstrate significant potential for application in next‐generation wearable electronic devices and photovoltaic building integration due to their high power conversion efficiency and excellent power‐to‐weight ratio. However, the inherent brittleness of
Hong‐Yi Hou   +3 more
wiley   +1 more source

High-Order Dynamic Mode Decomposition for Multidimensional Harmonic Retrieval [PDF]

open access: yes
Estimating channel parameters such as azimuth, elevation, Doppler shift, and delay is a key challenge in wireless communication, often formulated as a multidimensional harmonic retrieval (MHR) problem.
Zhang, Yanming   +2 more
core   +1 more source

Investigation of the Unsteady External and Underhood Airflow of the DrivAer model by Dynamic Mode Decomposition Methods

open access: yesInternational Journal of Automotive Engineering, 2017
In this research, we conduct unsteady CFD to investigate the effect of engine bay flow on the steady and unsteady aerodynamics of the extended DrivAer model reproducing engine bay flow.
Daiki Matsumoto   +2 more
doaj   +1 more source

Dynamic mode decomposition of inertial particle caustics in Taylor–Green flow

open access: yesScientific Reports, 2021
Inertial particles advected by a background flow can show complex structures. We consider inertial particles in a 2D Taylor–Green (TG) flow and characterize particle dynamics as a function of the particle’s Stokes number using dynamic mode decomposition (
Omstavan Samant   +3 more
doaj   +1 more source

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