Results 61 to 70 of about 5,531,893 (193)

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

FlexMat, Volume 3, Issue 3, Page 502-539, September 2026.
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, Xin‐Yi Zeng, Jian‐Xin Tang, Yan‐Qing Li   +3 more
wiley   +1 more source

VQ‐Wave: A Physics‐Driven Spatiotemporal Deep Learning Approach for Noncontrast‐Enhanced Lung Ventilation and Perfusion MRI

Magnetic Resonance in Medicine, Volume 96, Issue 3, Page 1427-1442, September 2026.
ABSTRACT Purpose To develop a robust deep learning framework for noncontrast‐enhanced functional lung MRI, overcoming the limitations of spectral decomposition in the presence of physiological nonstationarity. Methods We introduce VQ‐Wave (Ventilation/Q‐perfusion Waveform‐based Assessment of Variable Evolutions), a physics‐driven spatiotemporal ...
Grzegorz Bauman, Pavlos Panos, Philipp Latzin, Oliver Bieri   +3 more
wiley   +1 more source

Accurate and Efficient Data‐Driven Partitioned Scheme for Coupled Heterogeneous Numerical Models

Numerical Methods for Partial Differential Equations, Volume 42, Issue 5, September 2026.
ABSTRACT Heterogeneous numerical models (HNMs) combine conventional discretization modules such as finite elements with nonconventional data‐driven and reduced‐order modules. HNMs can improve computational efficiency and enable simulations of multi‐physics systems in which one or more constituent components lack first‐principles descriptions and must ...
Edward Huynh, Justin Owen, Paul Kuberry, Pavel Bochev   +3 more
wiley   +1 more source

Tatouage audio par EMD [PDF]

, 2013
In this paper a new adaptive audio watermarking algorithm based on Empirical Mode Decomposition (EMD) is introduced. The audio signal is divided into frames and each one is decomposed adaptively, by EMD, into intrinsic oscillatory components called ...
KHALDI, Kais, BOUDRAA, Abdel-Ouahab
core   +1 more source

Optimizing Dynamic Mode Decomposition for Video Denoising via Plug-and-Play Alternating Direction Method of Multipliers

Signals
Dynamic mode decomposition (DMD) is a powerful tool for separating the background and foreground in videos. This algorithm decomposes a video into dynamic modes, called DMD modes, to facilitate the extraction of the near-zero mode, which represents the ...
Hyoga Yamamoto, Shunki Anami, Ryo Matsuoka   +2 more
doaj   +1 more source

Weak-DMD: A Galerkin approach to the problem of noise in the Dynamic Mode Decomposition algorithm

Dynamic Mode Decomposition (DMD) is a data-driven method for approximating the spatiotemporal modes of a system. The eigenvectors and eigenvalues of the system are approximated from a series of time-snapshots of the state variables. The standard formulation of DMD is subject to strict assumptions concerning the time-spacing of the snapshots and is ...
William Bennett, Ryan G. McClarren, Ethan Smith, Melek Derman   +3 more
openaire   +3 more sources

Triplet Energy Transfer Strategy for Visible Light Activation of Bio‐Based Oxime Esters in Photopolymerization and 3D Printing

Small, Volume 22, Issue 52, 16 September 2026.
Bio‐based oxime esters are converted into efficient metal‐free photoinitiators for 405 nm LEDs and sunlight by Dexter‑type triplet energy transfer from ITX, enabling fast and deep visible light curing, high‐resolution 3D printing and improved cytocompatibility.
Kaidan Yang, Céline Dietlin, Coralie Ohl, Margot Manivel, Fabrice Morlet‐Savary, Michael Schmitt, Gérard Audran, Jean‐Patrick Joly, Jing Zhang, Pu Xiao, Jacques Lalevée   +10 more
wiley   +1 more source

Tensor-based dynamic mode decomposition

, 2018
Dynamic mode decomposition (DMD) is a recently developed tool for the analysis of the behavior of complex dynamical systems. In this paper, we will propose an extension of DMD that exploits low-rank tensor decompositions of potentially high-dimensional ...
Patrick Gelß, Klus, Stefan; id_orcid, Gelß, Patrick, Klus, Stefan, Klus, S., Peitz, Sebastian, Gelß, P., Peitz, S., Stefan Klus, Christof Schütte, Schütte, Ch., Sebastian Peitz, Schütte, Christof   +12 more
core   +1 more source

Parametric Dynamic Mode Decomposition for Reduced Order Modeling

, 2022
Dynamic Mode Decomposition (DMD) is a model-order reduction approach, whereby spatial modes of fixed temporal frequencies are extracted from numerical or experimental data sets. The DMD low-rank or reduced operator is typically obtained by singular value
Tano, Mauricio E., Ragusa, Jean C., Choi, Youngsoo, Huhn, Quincy A.   +3 more
core   +1 more source

Magnesium‐Based Transient Bioelectronics, Bio‐Optics and Bio‐Scaffolds

Advanced Functional Materials, Volume 36, Issue 67, 20 August 2026.
This paper reviews the state of the art and recent advances in magnesium‐based thin‐film, foils, and scaffolds for applications in transient bio‐optics, bioelectronics and tissue engineering. The design principles, fabrication methods, material properties, and integration strategies are discussed in detail.
Massimo Mariello, Yves Leterrier
wiley   +1 more source