Results 41 to 50 of about 1,877 (198)
Analysis of V-Gutter Reacting Flow Dynamics Using Proper Orthogonal and Dynamic Mode Decompositions
Energies, 2020 The current work is focused on investigating the potential of data-driven post-processing techniques, including proper orthogonal decomposition (POD) and dynamic mode decomposition (DMD) for flame dynamics.
Yang Yang, Xiao Liu, Zhihao Zhang
doaj +1 more source
Tensor-based dynamic mode decomposition [PDF]
, 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 +12 more
core +1 more source
Stochastic parameterization with dynamic mode decomposition [PDF]
, 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 +2 more
core +1 more source
Using the Nonuniform Dynamic Mode Decomposition to Reduce the Storage Required for PDE Simulations
International Journal of Aerospace Engineering, 2019 Partial Differential Equation simulations can produce large amounts of data. These datasets are very slow to transfer, for example, from an off-site supercomputer to a local research facility.
Brenton T. Hall +2 more
doaj +1 more source
Theoretical and Applied Mechanics Letters, 2023 The computational cost of unsteady adjoint equations remains high in adjoint-based unsteady aerodynamic optimization. In this letter, the solution of unsteady adjoint equations is accelerated by dynamic mode decomposition (DMD).
Wengang Chen, Jiaqing Kou, Wenkai Yang
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Unsteady Flow Field Analysis of Axial Compressor Cascade Based on Proper Orthogonal Decomposition and Dynamic Mode Decomposition Methods [PDF]
Journal of Applied Fluid MechanicsThe analysis of the unsteady flow field in axial compressor cascade is conducted using methods such as proper orthogonal decomposition (POD) and dynamic mode decomposition (DMD).
X. Wu, R. Wang, Y. Du
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Magnesium‐Based Transient Bioelectronics, Bio‐Optics and Bio‐Scaffolds
Advanced Functional Materials, EarlyView.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
Unsteady Flow Field Analysis of a Compressor Cascade Based on Dynamic Mode Decomposition
AerospaceTraditional flow field modeling methods are limited by high computational complexity, making them difficult to apply in practical engineering. This study applies the Dynamic Mode Decomposition (DMD) method to perform reduced-order modeling of unsteady ...
Xiaoxiong Wu, Yuming Du
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Catalytically Enhanced Near Room‐Temperature Hydrogen Sensing Using Pd‐ZnO Colloidal Crystals
Advanced Functional Materials, EarlyView.Pd‐decorated ZnO colloidal crystal monolayers demonstrate excellent performance across a wide hydrogen concentration range at 33°C, with high selectivity and reproducible device fabrication. The sensors show strong responses even at low‐ppm H2 concentrations and an ultra‐low detection limit of 82 ppb, indicating their suitability for diverse hydrogen ...
Hamidah Alluhaybi +13 more
wiley +1 more source
Modeling Light‐Induced Synaptic Behavior and Visual Memory of Azopolymeric Compounds
Advanced Optical Materials, EarlyView.In the framework of neuromorphic hardware it is essential to predict the evolution of the internal state of the devices mimicking synaptic functionalities to perform in‐silico modeling of specific computational tasks. Here, we provide a rate‐balance equation model to describe the synaptic‐like response of light‐actuated azopolymeric compounds and ...
Mateo Rosero‐Realpe +3 more
wiley +1 more source