Results 41 to 50 of about 6,504,899 (285)
Hybrid electromagnetic reconstruction scheme based on U-Net with attention mechanism
Electromagnetic inverse scattering problems were nonlinear and ill-conditioned. The traditional method could not take into account the imaging accuracy and computational efficiency simultaneously. Meanwhile, the direct reconstruction method based on deep
YANG Xirui, YANG Chunxia
doaj +1 more source
A Workflow to Accelerate Microstructure‐Sensitive Fatigue Life Predictions
This study introduces a workflow to accelerate predictions of microstructure‐sensitive fatigue life. Results from frameworks with varying levels of simplification are benchmarked against published reference results. The analysis reveals a trade‐off between accuracy and model complexity, offering researchers a practical guide for selecting the optimal ...
Luca Loiodice +2 more
wiley +1 more source
Cramer-Rao Lower Bounds for Inverse Scattering Problems of Multilayer Structures
In this paper, the inverse scattering problem of amultilayer structure is analysed with the Fisher information matrix and the Cramer–Rao lower bound (CRLB).
Nordebo, Sven,, Gustafsson, Mats
core +7 more sources
Low‐voltage FIB‐SEM tomography combined with a image preprocessing pipeline improves phase contrast and enables reliable machine‐learning segmentation of conductive networks in lithium‐ion battery electrodes. Structural descriptors are extracted from segmented images, done semimanually and automated, and compared.
Lisa Beran +6 more
wiley +1 more source
Spectral analysis of the indefinite non-self-adjoint Sturm–Liouville operator
The study investigates the inverse scattering problem for the Schrodinger operator with complex potentials, considering indefinite discontinuous coefficients on the axis.
Rakib Efendiev, Yusif Gasimov
doaj +1 more source
Two-dimensional dielectric object reconstruction based on improved U-Net model
An electromagnetic inverse scattering algorithm was proposed based on the improved U-Net(M-Net) model in this paper. M-Net model was mainly composed of multi-scale input layer, U-type convolutional neural network (CNN) and multi-scale mean output layer ...
JIN Ming, YANG Chunxia
doaj +1 more source
New AI‐Assisted Approach for Expanding the Solution Space: Application to Lattice Structure Design
This work introduces an innovative framework for designing structured materials by ex panding the design space through reparameterization of qualitative variables into continuous structural descriptors. Combined with machine‐learning‐based prediction and multi‐objective optimization, the approach enables the discovery of novel lattice architectures ...
G. H. Gahimbare +5 more
wiley +1 more source
The inverse scattering problem related to the localization of metal bars embedded within a finite-dimensional dielectric was studied in two-dimensional geometry.
Adriana Brancaccio
doaj +1 more source
Adaptive Foam 3D Printing of Ultralight and Multifunctional Materials
Adaptive foam 3D printing, enabled by expandable microspheres, imparts cellular structures to thermoplastic and thermosetting polymers, manufactured through a variety of processes including fused filament fabrication, direct ink writing, digital light processing, and inkjet printing.
Nariman Rajabifar, Amir Ameli
wiley +1 more source
Single- and Multi-Frequency Direct Sampling Methods in a Limited-Aperture Inverse Scattering Problem
Although the direct sampling method (DSM) has demonstrated its feasibility and robustness for imaging of small inhomogeneities, mathematical analyses of DSM have been conducted only on the full-aperture inverse scattering problem.
Sangwoo Kang +4 more
doaj +1 more source

