Results 31 to 40 of about 1,602 (158)

Parametric Dynamic Mode Decomposition for Reduced Order Modeling [PDF]

, 2023
Dynamic Mode Decomposition (DMD) is a method by which spatial modes can be extracted from experimental or numerical data sets. DMD can be used as well to obtain a low rank or reduced operator for a physical system by singular value decomposition of ...
Huhn, Quincy Aaron
core  

Seeing Through Scattering With Computational Advances: A Review

Advanced Photonics Research, Volume 7, Issue 6, June 2026.
In scattering media, light scrambles into random speckles and impedes our vision. Unlocking hidden information enables breakthroughs to see behind the opaqueness, inspiring applications in imaging, communication, and encryption. Unlike clear media such as clear water and air, a scattering medium is inhomogeneous, in which propagating photons are ...
Huanhao Li, Kai Chen, Xueli Chen, Puxiang Lai, Zhipeng Yu   +4 more
wiley   +1 more source

Evolution and Conceptual Insights into the Geometric Phase of Light: A Comprehensive Review

Advanced Photonics Research, Volume 7, Issue 6, June 2026.
This review presents a unified account of the geometric phase of light, linking its fundamental principles to diverse manifestations in polarization, spatial, and vector modes. By connecting theoretical frameworks with key experimental realizations, it reveals a coherent physical picture that deepens understanding and stimulates new directions in ...
A. Srinivasa Rao
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

Ceria‐Based Catalysts for Sustainable Processing of Plastic Waste

Advanced Energy and Sustainability Research, Volume 7, Issue 6, June 2026.
The properties of CeO2‐based catalysts for facilitating the chemical recycling of plastic waste. New chemical recycling processes for mitigating plastic pollution are being developed every day. Plastic depolymerization is typically conducted under high temperatures and pressures in pyrolysis, hydrogenolysis, ammonolysis, and glycolysis processes, which
Xinbang Wu, Paul J. Dyson
wiley   +1 more source

Superposition of Doppler‐Shifting Magnetopause Kelvin‐Helmholtz Modes Through Dynamic Mode Decomposition of a Global MHD Simulation

Geophysical Research Letters, Volume 53, Issue 10, 28 May 2026.
Abstract The Kelvin‐Helmholtz instability (KHI) mediates the viscous‐like solar‐terrestrial interaction by generating magnetopause surface waves that quickly become non‐linear. Basic theory predicts the locally most‐unstable linear wave dominates.
H. M. Kelly, M. O. Archer, J. P. Eastwood, M. Heyns, J. W. B. Eggington, J. P. Chittenden   +5 more
wiley   +1 more source

Stochastic parameterization with dynamic mode decomposition

, 2022
A physical stochastic parameterization is adopted in this work to account for the effects of the unresolved small-scale on the large-scale flow dynamics.
Mémin, Etienne, Li, Long, Tissot, Gilles   +2 more
core   +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   +2 more sources

Wavefront Selective Modal Excitations for Optimally Informative Sensing in Fano‐Resonant Metasurfaces

Nanophotonics, Volume 15, Issue 9, 13 May 2026.
Structured illuminations can unlock hidden quasi‐BIC modes in Fano‐resonant metasurfaces, enhancing the sensitivity to nanoscale perturbations. By analyzing the eigenmode spectrum of a dielectric metasurface and applying information theory, tailored wavefronts can be engineered that selectively excite otherwise inaccessible modes.
Nick Feldman, Nelson de Gaay Fortman, Arie J. den Boef, Lyubov V. Amitonova, A. Femius Koenderink   +4 more
wiley   +1 more source

Atomic Layer Deposition in Transistors and Monolithic 3D Integration

Advanced Functional Materials, Volume 36, Issue 41, 21 May 2026.
Transistors are fundamental building blocks of modern electronics. This review summarizes recent progress in atomic layer deposition (ALD) for the synthesis of two‐dimensional (2D) metal oxides and transition‐metal dichalcogenides (TMDCs), with particular emphasis on their enabling role in monolithic three‐dimensional (M3D) integration for next ...
Yue Liu, Taoyu Zou, Cheng‐Yan Xu, Liang Zhen, Yang Li, Yong‐Young Noh   +5 more
wiley   +1 more source