Results 81 to 90 of about 43,720 (247)
This review comprehensively evaluates extrusion‐based additive manufacturing for advanced ceramics, detailing feedstock options and key process parameters. By critically addressing defect mechanisms like porosity and cracking, the work highlights optimization strategies through machine learning and advanced postprocessing.
Meisam Bakhtiari +4 more
wiley +1 more source
Dynamic mode decomposition for modeling the UI dependence in fuel cells
Modeling and prediction of fuel cell dynamics is a challenging task and has recently gained importance. However, the underlying physical processes are often complex, and the dynamics is determined by a large number of parameters that are not completely ...
Rima Mesaud +4 more
doaj +1 more source
Signature of glassy dynamics in dynamic mode decompositions
4 page, 4 figures, plus ...
Zachary G. Nicolaou +4 more
openaire +2 more sources
Residual adhesive after electrode loading in adhesive‐assisted resistance spot welding is quantified through a traceable experimental‐to‐digital workflow. Chromatic confocal topography provides calibrated surface‐height data, while OpenCV detects the electrode imprint and integrates adhesive height into comparable volume metrics.
Sung‐Min Wi, Jiangdong Zhao
wiley +1 more source
Solvate ionic liquids lubrication reduced the coefficient of friction by ∼60% compared to dry sliding, reaching steady‐state values as low as 0.04–0.05. Corrosion weight‐loss measurements in 1 M HCl further demonstrated significant inhibition behavior, with only 100 ppm of [Li(G3)][TFSI] (∼68.5 μL/L) reducing corrosion‐product weight loss by 63 ...
Sameh Dabees +6 more
wiley +1 more source
Laser‐Induced Graphene from Waste Almond Shells
Almond shells, an abundant agricultural by‐product, are repurposed to create a fully bioderived almond shell/chitosan composite (ASC) degradable in soil. ASC is converted into laser‐induced graphene (LIG) by laser scribing and proposed as a substrate for transient electronics.
Yulia Steksova +9 more
wiley +1 more source
An Alternative Framework for Dynamic Mode Decomposition with Control
Dynamic mode decomposition with control (DMDc) is a widely used technique for analyzing dynamic systems influenced by external control inputs. It is a recent development and an extension of dynamic mode decomposition (DMD) tailored for input–output ...
Gyurhan Nedzhibov
doaj +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
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
Phonocardiogram Classification Using Dynamic Mode Decomposition for Heterogeneity-Resilient Training
Medical measurements of the heart, such as a phonocardiogram (PCG), provide a noninvasive means for diagnosing valvular heart diseases. Recently, deep learning has shown great success in the classification of PCG.
Ebrahim A. Nehary, Sreeraman Rajan
doaj +1 more source

