Computer Methods in Applied Mechanics and Engineering

Papers
(The H4-Index of Computer Methods in Applied Mechanics and Engineering is 62. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2021-03-01 to 2025-03-01.)
ArticleCitations
Physics-informed machine learning in asymptotic homogenization of elliptic equations1899
A machine learning-based viscoelastic–viscoplastic model for epoxy nanocomposites with moisture content593
Quasi-optimal mesh generation for the virtual element method: A fully adaptive remeshing procedure565
Physics-augmented neural networks for constitutive modeling of hyperelastic geometrically exact beams559
Surrogate-assisted Kriging training utilizing boxplot and correlation coefficient for large-scale data290
A Discontinuity-Enriched Finite Element Method (DE-FEM) for modeling quasi-static fracture growth in brittle solids270
Two novel discontinuity-removing PINNs for solving variable coefficient elliptic interface problems on curved surfaces197
Probabilistic Learning on Manifolds (PLoM) for cross-scale diagnostics in structural dynamics196
DMT-OMPA: Innovative applications of an efficient adversarial Marine Predators Algorithm based on dynamic matrix transformation in engineering design optimization191
Convergence of multirate fixed stress split iterative schemes for a fractured Biot model187
A BEM-based topology optimization for acoustic problems considering tangential derivative of sound pressure148
Mechanistically informed data-driven modeling of cyclic plasticity via artificial neural networks142
A GPU implementation of the PCG method for large-scale image-based finite element analysis in heterogeneous periodic media135
Enhancing efficiency in particle aggregation simulations: Coarse-grained particle modeling in the DEM-PBM coupled framework133
Enhanced fully resolved CFD-DEM-PBFM simulation of non-spherical particle–fluid interactions during hydraulic collection130
Convolution finite element method for analysis of piezoelectric materials129
Statistically compatible hyper-reduction for computational homogenization126
A continuum and computational framework for viscoelastodynamics: I. Finite deformation linear models121
Red blood cell transport in bounded shear flow: On the effects of cell viscoelastic properties117
ViTO: Vision Transformer-Operator115
Multi-objective topology optimization for solid-porous infill designs in regions-divided structures using multi-patch isogeometric analysis111
Porous structure optimization via non-uniform thermal diffusion109
EKF–SINDy: Empowering the extended Kalman filter with sparse identification of nonlinear dynamics107
A transfer learning physics-informed deep learning framework for modeling multiple solute dynamics in unsaturated soils104
A Finite Element based Deep Learning solver for parametric PDEs104
Computational homogenization of fully coupled multiphase flow in deformable porous media101
Machine learning enhanced exploration of bubble dynamics beneath a horizontal wall100
Machine learning predictive model for dynamic response of rising bubbles impacting on a horizontal wall92
Inferring unknown unknowns: Regularized bias-aware ensemble Kalman filter91
Computationally efficient and effective peridynamic model for cracks and fractures in homogeneous and heterogeneous materials90
Automated computation of topological derivatives with application to nonlinear elasticity and reaction–diffusion problems88
Weak-form latent space dynamics identification88
Higher temporal accuracy for LES-C turbulence models88
Embedment of WENO-Z reconstruction in Lagrangian WLS scheme implemented on GPU for strongly-compressible multi-phase flows87
A deep learning method for multi-material diffusion problems based on physics-informed neural networks87
Coupling of an atomistic model and bond-based peridynamic model using an extended Arlequin framework86
Space–time computational flow analysis: Unconventional methods and first-ever solutions85
A multi-resolution SPH-FEM method for fluid–structure interactions84
Transcranial stimulation analysis using the smoothed finite element method84
Shape sensitivity of thermoacoustic oscillations in an annular combustor with a 3D adjoint Helmholtz solver84
Diffusivity of porous media considering the coupling influence of pore shape- and size-polydispersities on the percolation: Theoretical and numerical studies82
Physics-constrained Data-Driven Variational method for discrepancy modeling81
Free vibration of perforated cylindrical shells of revolution: Asymptotics and effective material parameters80
Hybridized isogeometric method for elliptic problems on CAD surfaces with gaps79
Editorial Board74
A neural kernel method for capturing multiscale high-dimensional micromorphic plasticity of materials with internal structures74
Rapid machine-learning enabled design and control of precise next-generation cryogenic surgery in dermatology73
Isogeometric schemes in rarefied gas dynamics context71
Distance-preserving manifold denoising for data-driven mechanics70
An approximate C168
A new approach based on spectral graph theory to avoiding enclosed holes in topology optimization68
Nonlocal implicit gradient enhancements for strain localization informed by controllability criteria for plastic solids67
A cracked zone clustering method for discrete fracture with minimal enhanced degrees of freedom66
Automated translation and accelerated solving of differential equations on multiple GPU platforms65
Intermediate flexural crack debonding of externally bonded FRP in RC beams through a FEM formulation based on positions65
Editorial Board65
The interior penalty virtual element method for the two-dimensional biharmonic eigenvalue problem64
Generalised tangent stabilised nonlinear elasticity: An automated framework for controlling material and geometric instabilities64
The isogeometric boundary element method: A alternative approach to the analysis of trimmed geometrical models63
A hybrid polynomial chaos expansion – Gaussian process regression method for Bayesian uncertainty quantification and sensitivity analysis62
Risk-averse design of tall buildings for uncertain wind conditions62
Robust topology optimization for transient dynamic response minimization62
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