Computational Mechanics

Papers
(The H4-Index of Computational Mechanics is 26. 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 2020-04-01 to 2024-04-01.)
ArticleCitations
Machine learning for metal additive manufacturing: predicting temperature and melt pool fluid dynamics using physics-informed neural networks179
The reproduction number of COVID-19 and its correlation with public health interventions117
A general phase-field model for fatigue failure in brittle and ductile solids62
Diffusion–reaction compartmental models formulated in a continuum mechanics framework: application to COVID-19, mathematical analysis, and numerical study60
A Bayesian estimation method for variational phase-field fracture problems53
A comparative review of peridynamics and phase-field models for engineering fracture mechanics52
Gas turbine computational flow and structure analysis with isogeometric discretization and a complex-geometry mesh generation method50
Is it safe to lift COVID-19 travel bans? The Newfoundland story48
Hierarchical deep-learning neural networks: finite elements and beyond45
Dirichlet absorbing boundary conditions for classical and peridynamic diffusion-type models39
Stabilized methods for high-speed compressible flows: toward hypersonic simulations38
Non-intrusive reduced order modelling for the dynamics of geometrically nonlinear flat structures using three-dimensional finite elements38
A physics-informed neural network technique based on a modified loss function for computational 2D and 3D solid mechanics36
Space–Time Variational Multiscale Isogeometric Analysis of a tsunami-shelter vertical-axis wind turbine36
Bayesian-based predictions of COVID-19 evolution in Texas using multispecies mixture-theoretic continuum models35
Phase field fracture in elasto-plastic solids: a length-scale insensitive model for quasi-brittle materials34
Isogeometric analysis of ice accretion on wind turbine blades33
A digital-twin and machine-learning framework for the design of multiobjective agrophotovoltaic solar farms33
A Bayesian multiscale CNN framework to predict local stress fields in structures with microscale features32
Detailed simulation of viral propagation in the built environment31
Anisotropic hyperelastic constitutive models for finite deformations combining material theory and data-driven approaches with application to cubic lattice metamaterials31
Topology optimization based on deep representation learning (DRL) for compliance and stress-constrained design30
A dynamical view of nonlinear conjugate gradient methods with applications to FFT-based computational micromechanics29
Recurrent neural networks (RNNs) learn the constitutive law of viscoelasticity29
A numerical study into element type and mesh resolution for crystal plasticity finite element modeling of explicit grain structures28
A combined XFEM phase-field computational model for crack growth without remeshing27
The computational framework for continuum-kinematics-inspired peridynamics26
Multi-physics modeling of direct energy deposition process of thin-walled structures: defect analysis26
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