Results 131 to 140 of about 32,424,344 (291)

Mesh and Model Adaptivity for Multiscale Elastoplastic Models With Prandtl‐Reuss Type Material Laws

open access: yesInternational Journal for Numerical Methods in Engineering, Volume 127, Issue 6, 30 March 2026.
ABSTRACT Homogenization methods simulate heterogeneous materials like composites effectively, but high computational demands can offset their benefits. This work balances accuracy and efficiency by assessing model and discretization errors of the finite element method (FEM) through an adaptive numerical scheme.
Arnold Tchomgue Simeu   +2 more
wiley   +1 more source

Tolerance Proportionality and Computational Stability in Adaptive Parallel-in-Time Runge–Kutta Methods

open access: yesAlgorithms
In this paper, we investigate how adaptive time-integration strategies can be effectively combined with parallel-in-time numerical methods for solving systems of ordinary differential equations.
Imre Fekete   +3 more
doaj   +1 more source

Compressible Flow Exfoliation of Two‐Dimensional Nanomaterials: Insights Into Layer Separation Informed by Gas Dynamics

open access: yesAdvanced Engineering Materials, Volume 28, Issue 6, 18 March 2026.
This study elucidates the mechanism of compressible flow exfoliation for producing 2D hexagonal boron nitride (h‐BN). Fluid dynamics analysis reveals that acceleration‐driven aerodynamic shear forces, rather than shock waves alone, drive effective layer separation.
Md Farhadul Islam   +3 more
wiley   +1 more source

Stable Model Reduction for Time‐Domain Room Acoustics: A Structure‐Preserving Formulation for Complex Boundaries

open access: yesInternational Journal for Numerical Methods in Engineering, Volume 127, Issue 5, 15 March 2026.
ABSTRACT This work presents novel structure‐preserving formulations for stable model order reduction in the context of time‐domain room acoustics simulations. A solution to address the instability in conventional model order reduction formulations based on the Linearized Euler Equations is derived and validated through numerical experiments.
Satish Bonthu   +4 more
wiley   +1 more source

Polydopamine Coating in Trabecular Bone‐Like Scaffolds With Strontium‐Substituted Nanohydroxyapatite for Bone Tissue Engineering

open access: yesJournal of Applied Polymer Science, Volume 143, Issue 9, March 5, 2026.
PLA and strontium‐substituted hydroxyapatite filaments were used in 3D printing to fabricate a trabecular‐inspired scaffold. The scaffold was functionalized with a polydopamine coating. Characterization revealed enhanced surface properties and mechanical performance, supporting its potential application in bone tissue engineering.
Adones Almeida Rocha   +4 more
wiley   +1 more source

Hopfield Neural Networks for Online Constrained Parameter Estimation With Time‐Varying Dynamics and Disturbances

open access: yesInternational Journal of Adaptive Control and Signal Processing, Volume 40, Issue 3, Page 544-564, March 2026.
This paper proposes two projector‐based Hopfield neural network (HNN) estimators for online, constrained parameter estimation under time‐varying data, additive disturbances, and slowly drifting physical parameters. The first is a constraint‐aware HNN that enforces linear equalities and inequalities (via slack neurons) and continuously tracks the ...
Miguel Pedro Silva
wiley   +1 more source

Rib‐Reinforced Ultralight and Ultra‐Strong Shell Lattices

open access: yesAdvanced Science, Volume 13, Issue 17, 23 March 2026.
This study thoroughly reveals the relation between the curvature and stress direction of triply periodic minimal surface (TPMS) thin shell lattices and proposes a novel rib reinforcement design strategy to incorporate ribs along the line of asymptotes (LOA) and the line of principal curvatures (LOC) to enhance the strength of ultralight TPMS shell ...
Winston Wai Shing Ma   +6 more
wiley   +1 more source

Learning hydrocracking reaction dynamics via neural ODEs: A data‐driven, gradient‐interpretable lumped modelling framework

open access: yesThe Canadian Journal of Chemical Engineering, Volume 104, Issue 3, Page 1372-1386, March 2026.
This work demonstrates the application of neural ordinary differential equations (neural ODEs) for learning hydrocracking reaction kinetics directly from data, achieving robust predictions under noise and sparsity while preserving mechanistic interpretability through gradient‐based analysis of temperature‐ and concentration‐dependent reaction rates ...
Souvik Ta   +2 more
wiley   +1 more source

Statistical and Numerical Analysis of Conjugate Heat and Momentum Transfer in an Open Cavity With a Thick Wall Using Cu–Water Nanofluid

open access: yesEngineering Reports, Volume 8, Issue 3, March 2026.
Considered physical model and effect of Nuav(τ = 0.1) for Re and ϕ at τ = 0.1. ABSTRACT Although open cavity configurations are common in modern electronic and solar applications, limited attention has been given to thick‐walled hollow cavity designs, particularly in the context of comprehensive sensitivity analysis.
Murad Hossen   +5 more
wiley   +1 more source

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