Results 211 to 220 of about 23,712,988 (293)

Global Graph Surrogates and Neural Graph Elements for Computational Mechanics

open access: yesProceedings in Applied Mathematics and Mechanics, Volume 26, Issue 4, December 2026.
ABSTRACT Machine learning surrogates are increasingly used to accelerate physics‐based simulations by predicting full‐field responses at a fraction of the computational cost. In this contribution, we present two complementary graph‐based approaches for surrogate modelling in computational mechanics.
Rutwik Gulakala, Marcus Stoffel
wiley   +1 more source

Bayesian Causal Methods for Environmental Accountability Studies with Heterogeneous Effects. [PDF]

open access: yesCurr Environ Health Rep
Zorzetto D   +6 more
europepmc   +1 more source

On the Coupling of Reaction–Diffusion–Transport Equations With Biot's Poroelasticity Model: An Application to Meniscus Regeneration

open access: yesProceedings in Applied Mathematics and Mechanics, Volume 26, Issue 4, December 2026.
ABSTRACT Regenerative medicine is a promising approach for the treatment of meniscus injuries. In silico experiments provide a valuable framework for optimizing such therapies by improving the understanding of both environmental effects on cell behavior and the interaction between cells and nonwoven scaffolds, which act as porous media supporting cell ...
Ahmad Hussein   +3 more
wiley   +1 more source

A Coupled FE‐FFT Multiscale Framework for Heterogeneous Porous Materials Using preCICE

open access: yesProceedings in Applied Mathematics and Mechanics, Volume 26, Issue 4, December 2026.
ABSTRACT This work presents a coupled finite element–fast Fourier transform (FE–FFT) multiscale framework for the simulation of heterogeneous and graded porous materials. The macroscopic boundary value problem is solved with the finite element (FE) method in Julia using Ferrite.jl, while the microscopic response of periodic unit cells is obtained from ...
Julian Dahler   +2 more
wiley   +1 more source

Symplecticity‐Preserving Prediction of Parameter‐Dependent Hamiltonian Dynamics by Generalized Kernel Interpolation

open access: yesProceedings in Applied Mathematics and Mechanics, Volume 26, Issue 4, December 2026.
ABSTRACT We extend the kernel‐based symplectic predictor introduced by Herkert et al. (2026) to a parameter‐augmented setting in which the learned flow‐map surrogate depends not only on the state, but also on additional variables such as physical parameters and macro time‐step sizes. The method uses a product kernel ansatz on a parameter and macro step
Robin Herkert   +2 more
wiley   +1 more source

Metagenomic analysis of tongue samples from healthy subjects identifies distinct microbiome orotypes. [PDF]

open access: yesJ Oral Microbiol
Al-Maweri SA   +12 more
europepmc   +1 more source

Multiple ortho‐mosaicking software pipelines produce comparable imagery‐derived wheat phenotypes

open access: yesThe Plant Phenome Journal, Volume 9, Issue 1, December 2026.
Abstract Unmanned aerial systems (UAS) equipped with multispectral and RGB sensors offer valuable data for monitoring crop health and assessing disease severity. However, the wide range of available photogrammetric software complicates software selection for high‐throughput plant phenotyping.
Sanju Shrestha   +3 more
wiley   +1 more source

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