Results 111 to 120 of about 27,923 (223)
Informed Dictionary‐Guided Monte Carlo Inversion for Robust and Reproducible Multidimensional MRI
ABSTRACT Purpose To develop a robust and efficient multidimensional MRI (MD‐MRI) data processing framework for accurately estimating joint frequency‐dependent diffusion‐relaxation distributions, while overcoming computational limitations and noise instability inherent to Monte Carlo (MC) inversion.
Joon Sik Park +3 more
wiley +1 more source
Vagus nerve stimulation (VNS) effects span central and peripheral organ systems through diverse mechanistic pathways. This comprehensive review provides a unified synthesis of these mechanisms across neurological, cardiovascular, immunological, metabolic, and gastrointestinal domains, filling a critical gap and serving as a foundational resource for ...
Yifeng Bu +11 more
wiley +1 more source
We introduce new efficient and accurate first order finite volume‐type numerical schemes, for the non‐conservative one‐dimensional blood flow equations with transport, taking into account different velocity profiles. The framework is the flux‐vector splitting approach of Toro and Vázquez‐Cendón (2012), that splits the system in two subsystems of PDEs ...
Alessandra Spilimbergo +3 more
wiley +1 more source
Multiscale Spectral Generalized Finite Element Methods for Discontinuous Galerkin Schemes
We propose a multiscale spectral generalized finite element method (MS-GFEM) for discontinuous Galerkin (DG) discretizations. The method builds local approximations on overlapping subdomains as the sum of a local source solution and a correction from an optimal spectral coarse space, which is obtained from a generalized eigenproblem.
Alber, Christian, Holbach, Lukas
openaire +2 more sources
ABSTRACT Localized deformation in dense granular materials, often culminating in the formation of shear bands, is a key failure mechanism in geotechnical and material systems. However, predicting the onset of such localization remains a fundamental challenge due to the system's inherent inelasticity and microstructural complexity.
Zhennan Zhu +4 more
wiley +1 more source
An Effective Physics‐Informed Neural Operator Framework for Predicting Wavefields
Abstract Solving the wave equation is fundamental for many geophysical applications. However, numerical solutions of the Helmholtz equation face significant computational and memory challenges. Therefore, we introduce a physics‐informed convolutional neural operator (CNO) (PICNO) to solve the Helmholtz equation efficiently.
X. Ma, T. Alkhalifah
wiley +1 more source
Accelerating Conjugate Gradient Solvers for Homogenization Problems With Unitary Neural Operators
ABSTRACT Rapid and reliable solvers for parametric partial differential equations (PDEs) are needed in many scientific and engineering disciplines. For example, there is a growing demand for composites and architected materials with heterogeneous microstructures.
Julius Herb, Felix Fritzen
wiley +1 more source
Automatic target volume segmentation for offline adaptive head–and‐neck radiotherapy
Abstract Purpose To assess the clinical utility of Smartfuse (Therapanacea, France), a deformable image registration (DIR) algorithm for automatic propagation of target volumes in the context of offline adaptive head‐and‐neck radiotherapy. Materials and methods Ten patients underwent offline re‐planning during head‐and‐neck radiotherapy. Target volumes
Gilles Moliner +6 more
wiley +1 more source
This review explores recent advances in digital micromirror device (DMD)‐based lithography, focusing on its programmable light modulation, multi‐material compatibility, and dimensional patterning strategies. It highlights innovations from optical system design to materials integration and multifunctional applications, positioning DMD lithography as a ...
Yubin Lee +5 more
wiley +1 more source
Multiscale Compressive Failure Analysis of Wrinkled Laminates Based on Multiaxial Damage Model. [PDF]
Shi J +6 more
europepmc +1 more source

