Results 131 to 140 of about 287,879 (312)
Multi-Resolution Dynamic Mode Decomposition
We demonstrate that the integration of the recently developed dynamic mode decomposition (DMD) with a multi-resolution analysis allows for a decomposition method capable of robustly separating complex systems into a hierarchy of multi-resolution time-scale components.
Kutz, J. Nathan +2 more
openaire +2 more sources
Counterion Dependent Side‐Chain Relaxation Stiffens a Chemically Doped Thienothiophene Copolymer
Oxidation of a thienothiophene copolymer, p(g3TT‐T2), via different doping strategies and dopant molecules resulted in materials with similar oxidation levels and a high electrical conductivity of ≈100 S cm−1. However, mechanical properties varied significantly, with sub‐glass transition temperatures and elastic moduli spanning from –44°C to –3°C and ...
Mariavittoria Craighero +12 more
wiley +1 more source
Algorithms for on-line parameter and mode shape estimation [PDF]
Algorithms are presented for on-line parameter and mode-shape estimation. The approach used is based upon a modal decomposition of the dynamic response of the flexible structure and is designed to make use of the parallel processing features of modern ...
Thau, F. E.
core +1 more source
Covalent organic frameworks (COFs) with metals have been recognized as versatile platforms for photocatalytic CO2 reduction (CO2PRR). Herein, an overview of metal integration strategies for COFs is systematically summarized. Regulatory mechanisms and structure–activity relationships between metal integration and COF‐based CO2PRR are emphasized.
Jie He +5 more
wiley +1 more source
Dynamic mode decomposition using a Kalman filter for parameter estimation
A novel dynamic mode decomposition (DMD) method based on a Kalman filter is proposed. This paper explains the fast algorithm of the proposed Kalman filter DMD (KFDMD) in combination with truncated proper orthogonal decomposition for many-degree-of ...
Taku Nonomura +2 more
doaj +1 more source
Scalable Extended Dynamic Mode Decomposition Using Random Kernel Approximation [PDF]
Anthony M. DeGennaro, Nathan M. Urban
openalex +1 more source
Latent Diffeomorphic Dynamic Mode Decomposition
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 Networks (RNNs).
Willem Diepeveen +2 more
openaire +3 more sources
From Food to Power: Hydrogel Thermoelectrics for Ingestible Electronics
We introduce a fully edible thermoelectric–electrochromic platform that harvests heat from food and converts it into a visible color change. N‐type and p‐type hydrogel thermoelectric generators connected in series power anthocyanin‐based electrochromic displays, demonstrating the feasibility of safe, biodegradable, ingestible systems for on‐food ...
Antonia Georgopoulou +3 more
wiley +1 more source
Dynamic Patterns and Modeling of Early COVID-19 Transmission by Dynamic Mode Decomposition. [PDF]
Fang D, Guo L, Hughes MC, Tan J.
europepmc +1 more source

