Computer Methods in Applied Mechanics and Engineering

(The TQCC of Computer Methods in Applied Mechanics and Engineering is 14. 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 2020-05-01 to 2024-05-01.)
The Arithmetic Optimization Algorithm1568
Dwarf Mongoose Optimization Algorithm439
Artificial hummingbird algorithm: A new bio-inspired optimizer with its engineering applications408
Conservative physics-informed neural networks on discrete domains for conservation laws: Applications to forward and inverse problems372
A physics-informed deep learning framework for inversion and surrogate modeling in solid mechanics361
PPINN: Parareal physics-informed neural network for time-dependent PDEs231
hp-VPINNs: Variational physics-informed neural networks with domain decomposition220
SciANN: A Keras/TensorFlow wrapper for scientific computations and physics-informed deep learning using artificial neural networks183
Physics-informed multi-LSTM networks for metamodeling of nonlinear structures172
On the eigenvector bias of Fourier feature networks: From regression to solving multi-scale PDEs with physics-informed neural networks162
Starling murmuration optimizer: A novel bio-inspired algorithm for global and engineering optimization160
Gradient-enhanced physics-informed neural networks for forward and inverse PDE problems157
Multi-fidelity deep neural network surrogate model for aerodynamic shape optimization138
Deep generative modeling for mechanistic-based learning and design of metamaterial systems121
Geometric deep learning for computational mechanics Part I: anisotropic hyperelasticity111
A recurrent neural network-accelerated multi-scale model for elasto-plastic heterogeneous materials subjected to random cyclic and non-proportional loading paths105
A physics-informed variational DeepONet for predicting crack path in quasi-brittle materials104
Hybrid FEM and peridynamic simulation of hydraulic fracture propagation in saturated porous media102
A machine learning based plasticity model using proper orthogonal decomposition102
POD-DL-ROM: Enhancing deep learning-based reduced order models for nonlinear parametrized PDEs by proper orthogonal decomposition100
Parametric deep energy approach for elasticity accounting for strain gradient effects99
A comprehensive and fair comparison of two neural operators (with practical extensions) based on FAIR data99
Modified couple stress-based geometrically nonlinear oscillations of porous functionally graded microplates using NURBS-based isogeometric approach99
Smart constitutive laws: Inelastic homogenization through machine learning97
Multi-level convolutional autoencoder networks for parametric prediction of spatio-temporal dynamics94
Hybrid enhanced Monte Carlo simulation coupled with advanced machine learning approach for accurate and efficient structural reliability analysis89
Sobolev training of thermodynamic-informed neural networks for interpretable elasto-plasticity models with level set hardening86
Novel probabilistic model for searching most probable point in structural reliability analysis84
Non-invasive inference of thrombus material properties with physics-informed neural networks84
Unsupervised discovery of interpretable hyperelastic constitutive laws83
A higher order nonlocal operator method for solving partial differential equations82
Data-driven topology optimization of spinodoid metamaterials with seamlessly tunable anisotropy80
A comprehensive study of non-adaptive and residual-based adaptive sampling for physics-informed neural networks80
Hierarchical Deep Learning Neural Network (HiDeNN): An artificial intelligence (AI) framework for computational science and engineering79
New efficient and robust method for structural reliability analysis and its application in reliability-based design optimization77
Exact imposition of boundary conditions with distance functions in physics-informed deep neural networks76
Fracture of thermo-elastic solids: Phase-field modeling and new results with an efficient monolithic solver76
MOMPA: Multi-objective marine predator algorithm76
An enhanced hybrid arithmetic optimization algorithm for engineering applications76
A ductile phase-field model based on degrading the fracture toughness: Theory and implementation at small strain74
A phase-field model for mixed-mode fracture based on a unified tensile fracture criterion74
SO(3)-invariance of informed-graph-based deep neural network for anisotropic elastoplastic materials74
A self-adaptive deep learning algorithm for accelerating multi-component flash calculation74
New hybrid reliability-based topology optimization method combining fuzzy and probabilistic models for handling epistemic and aleatory uncertainties73
An end-to-end three-dimensional reconstruction framework of porous media from a single two-dimensional image based on deep learning73
A sequential calibration and validation framework for model uncertainty quantification and reduction71
The neural particle method – An updated Lagrangian physics informed neural network for computational fluid dynamics71
Data-driven fracture mechanics71
Physics-informed graph neural Galerkin networks: A unified framework for solving PDE-governed forward and inverse problems71
A new Lagrange multiplier approach for gradient flows71
Physics-informed neural network for modelling the thermochemical curing process of composite-tool systems during manufacture70
A physics-guided neural network framework for elastic plates: Comparison of governing equations-based and energy-based approaches69
Deep-learning-based surrogate flow modeling and geological parameterization for data assimilation in 3D subsurface flow68
Physics informed neural networks for continuum micromechanics68
An open-source Abaqus implementation of the phase-field method to study the effect of plasticity on the instantaneous fracture toughness in dynamic crack propagation68
De-homogenization of optimal multi-scale 3D topologies67
Phase field modelling of fracture and fatigue in Shape Memory Alloys66
Topology optimization using material-field series expansion and Kriging-based algorithm: An effective non-gradient method65
Data-driven multiscale finite element method: From concurrence to separation65
An extended finite element solution for hydraulic fracturing with thermo-hydro-elastic–plastic coupling63
Universal machine learning for topology optimization63
Double-phase-field formulation for mixed-mode fracture in rocks62
Novel hybrid robust method for uncertain reliability analysis using finite conjugate map61
Design of graded lattice sandwich structures by multiscale topology optimization61
Modeling cardiac muscle fibers in ventricular and atrial electrophysiology simulations60
Three-dimensional phase-field modeling of mode I + II/III failure in solids60
A nonlocal physics-informed deep learning framework using the peridynamic differential operator60
Stress constrained multi-material topology optimization with the ordered SIMP method59
DiscretizationNet: A machine-learning based solver for Navier–Stokes equations using finite volume discretization59
Operator inference for non-intrusive model reduction of systems with non-polynomial nonlinear terms59
A generalised phase field model for fatigue crack growth in elastic–plastic solids with an efficient monolithic solver58
A novel sequential method to train physics informed neural networks for Allen Cahn and Cahn Hilliard equations58
Hybrid and enhanced PSO: Novel first order reliability method-based hybrid intelligent approaches58
A phase-field model of frictional shear fracture in geologic materials58
A generalized bond-based peridynamic model for quasi-brittle materials enriched with bond tension–rotation–shear coupling effects57
Hydro-mechanical simulation of the saturated and semi-saturated porous soil–rock mixtures using the numerical manifold method57
CAN-PINN: A fast physics-informed neural network based on coupled-automatic–numerical differentiation method57
Additive manufacturing oriented topology optimization of structures with self-supported enclosed voids57
A continuum framework for coupled solid deformation–fluid flow through anisotropic elastoplastic porous media57
PhyCRNet: Physics-informed convolutional-recurrent network for solving spatiotemporal PDEs57
A new reliability method for small failure probability problems by combining the adaptive importance sampling and surrogate models57
Body-fitted topology optimization of 2D and 3D fluid-to-fluid heat exchangers57
A generic physics-informed neural network-based constitutive model for soft biological tissues56
A meshfree stabilized collocation method (SCM) based on reproducing kernel approximation56
Hybrid FEM–SBM solver for structural vibration induced underwater acoustic radiation in shallow marine environment56
A novel fully-decoupled, second-order and energy stable numerical scheme of the conserved Allen–Cahn type flow-coupled binary surfactant model55
Local extreme learning machines and domain decomposition for solving linear and nonlinear partial differential equations55
Strategy for sensor number determination and placement optimization with incomplete information based on interval possibility model and clustering avoidance distribution index55
A coupled contact heat transfer and thermal cracking model for discontinuous and granular media55
Transgranular fracturing of crystalline rocks and its influence on rock strengths: Insights from a grain-scale continuum–discontinuum approach54
An effective multi-objective artificial hummingbird algorithm with dynamic elimination-based crowding distance for solving engineering design problems54
A review on MPS method developments and applications in nuclear engineering53
A physics-constrained data-driven approach based on locally convex reconstruction for noisy database53
A new family of Constitutive Artificial Neural Networks towards automated model discovery52
Data-driven modelling of nonlinear spatio-temporal fluid flows using a deep convolutional generative adversarial network51
Detailed study on the extension of the δ-SPH model to multi-phase f51
An efficient Kriging based method for time-dependent reliability based robust design optimization via evolutionary algorithm51
Topology optimization of functionally graded anisotropic composite structures using homogenization design method51
Probabilistic model updating via variational Bayesian inference and adaptive Gaussian process modeling51
A stochastic process discretization method combing active learning Kriging model for efficient time-variant reliability analysis51
Multilevel and multifidelity uncertainty quantification for cardiovascular hemodynamics51
Multi-frequency acoustic topology optimization of sound-absorption materials with isogeometric boundary element methods accelerated by frequency-decoupling and model order reduction techniques50
Semi-coupled resolved CFD–DEM simulation of powder-based selective laser melting for additive manufacturing50
Artificial neural networks in structural dynamics: A new modular radial basis function approach vs. convolutional and feedforward topologies49
Efficient multiscale modeling for woven composites based on self-consistent clustering analysis49
Machine learning materials physics: Multi-resolution neural networks learn the free energy and nonlinear elastic response of evolving microstructures49
Nonlinear vibration of FG-GPLRC dielectric plate with active tuning using differential quadrature method49
A novel deep learning-based modelling strategy from image of particles to mechanical properties for granular materials with CNN and BiLSTM49
Phase-field modeling of fatigue coupled to cyclic plasticity in an energetic formulation48
A novel dynamic reliability-based topology optimization (DRBTO) framework for continuum structures via interval-process collocation and the first-passage theories48
Multi-material topology optimization of lattice structures using geometry projection48
On physics-informed data-driven isotropic and anisotropic constitutive models through probabilistic machine learning and space-filling sampling48
A radial basis function artificial neural network (RBF ANN) based method for uncertain distributed force reconstruction considering signal noises and material dispersion48
Three-dimensional finite discrete element-based contact heat transfer model considering thermal cracking in continuous–discontinuous media47
Full-scale topology optimization for fiber-reinforced structures with continuous fiber paths47
FEA-Net: A physics-guided data-driven model for efficient mechanical response prediction47
Deep learning of thermodynamics-aware reduced-order models from data46
Bayesian neural networks for uncertainty quantification in data-driven materials modeling46
Visualizing the invisible: The effect of asymptomatic transmission on the outbreak dynamics of COVID-1946
Multiscale modeling of thermo-mechanical responses of granular materials: A hierarchical continuum–discrete coupling approach46
A feature-driven robust topology optimization strategy considering movable non-design domain and complex uncertainty46
Adaptive higher-order phase-field modeling of anisotropic brittle fracture in 3D polycrystalline materials46
Simulation-based Anomaly Detection and Damage Localization: An application to Structural Health Monitoring46
Numerical approximations of the Navier–Stokes equation coupled with volume-conserved multi-phase-field vesicles system: Fully-decoupled, linear, unconditionally energy stable and second-order time-acc45
A phase-field model of fracture with frictionless contact and random fracture properties: Application to thin-film fracture and soil desiccation44
Spatial-varying multi-phase infill design using density-based topology optimization44
A multiphase SPH model based on Roe’s approximate Riemann solver for hydraulic flows with complex interface44
Multiscale modeling of inelastic materials with Thermodynamics-based Artificial Neural Networks (TANN)44
Efficient local adaptive Kriging approximation method with single-loop strategy for reliability-based design optimization44
A mixed formulation for physics-informed neural networks as a potential solver for engineering problems in heterogeneous domains: Comparison with finite element method43
A machine-learning framework for rapid adaptive digital-twin based fire-propagation simulation in complex environments43
Efficient uncertainty quantification for dynamic subsurface flow with surrogate by Theory-guided Neural Network43
Material and shape optimization of bi-directional functionally graded plates by GIGA and an improved multi-objective particle swarm optimization algorithm43
Direct computation of nonlinear mapping via normal form for reduced-order models of finite element nonlinear structures43
Multi-material thermomechanical topology optimization with applications to additive manufacturing: Design of main composite part and its support structure43
Physics-informed neural network simulation of multiphase poroelasticity using stress-split sequential training43
Stress-related topology optimization of shell structures using IGA/TSA-based Moving Morphable Void (MMV) approach43
IPACS: Integrated Phase-Field Advanced Crack Propagation Simulator. An adaptive, parallel, physics-based-discretization phase-field framework for fracture propagation in porous media42
Free vibration and transient dynamic response of functionally graded sandwich plates with power-law nonhomogeneity by the scaled boundary finite element method42
Three-dimensional topology optimization of auxetic metamaterial using isogeometric analysis and model order reduction42
Fast implicit solvers for phase-field fracture problems on heterogeneous microstructures42
Galerkin formulations of isogeometric shell analysis: Alleviating locking with Greville quadratures and higher-order elements42
An element-free study of variable stiffness composite plates with cutouts for enhanced buckling and post-buckling performance42
A general deep learning framework for history-dependent response prediction based on UA-Seq2Seq model42
A consistent phase field model for hydraulic fracture propagation in poroelastic media41
Multi-fidelity regression using artificial neural networks: Efficient approximation of parameter-dependent output quantities41
Efficient structural reliability analysis based on adaptive Bayesian support vector regression41
Sparse identification of nonlinear dynamical systems via reweighted 41
Data-driven streamline stiffener path optimization (SSPO) for sparse stiffener layout design of non-uniform curved grid-stiffened composite (NCGC) structures40
Stress-based and robust topology optimization for thermoelastic multi-material periodic microstructures40
A physics-informed operator regression framework for extracting data-driven continuum models40
Data-driven learning of nonlocal physics from high-fidelity synthetic data40
Accelerating fatigue simulations of a phase-field damage model for rubber39
M-VCUT level set method for optimizing cellular structures39
Modeling the porous and viscous responses of human brain tissue behavior39
Young’s double-slit experiment optimizer : A novel metaheuristic optimization algorithm for global and constraint optimization problems39
Data-driven inverse modelling through neural network (deep learning) and computational heat transfer39
Imposing minimum and maximum member size, minimum cavity size, and minimum separation distance between solid members in topology optimization39
Machine learning of multiscale active force generation models for the efficient simulation of cardiac electromechanics39
An FE–DMN method for the multiscale analysis of short fiber reinforced plastic components39
EMCS-SVR: Hybrid efficient and accurate enhanced simulation approach coupled with adaptive SVR for structural reliability analysis39
Bayesian Physics Informed Neural Networks for real-world nonlinear dynamical systems39
A level set driven concurrent reliability-based topology optimization (LS-CRBTO) strategy considering hybrid uncertainty inputs and damage defects updating39
Model-free data-driven computational mechanics enhanced by tensor voting39
An intelligent nonlinear meta element for elastoplastic continua: deep learning using a new Time-distributed Residual U-Net architecture39
An accuracy analysis of Galerkin meshfree methods accounting for numerical integration38
Crack growth adaptive XIGA simulation in isotropic and orthotropic materials38
Surrogate modeling of elasto-plastic problems via long short-term memory neural networks and proper orthogonal decomposition38
A massively parallel explicit solver for elasto-dynamic problems exploiting octree meshes38
Deep autoencoders for physics-constrained data-driven nonlinear materials modeling38
Interfacing finite elements with deep neural operators for fast multiscale modeling of mechanics problems38
A robust penalty coupling of non-matching isogeometric Kirchhoff–Love shell patches in large deformations38
Local approximate Gaussian process regression for data-driven constitutive models: development and comparison with neural networks37
A novel smoothed particle hydrodynamics formulation for thermo-capillary phase change problems with focus on metal additive manufacturing melt pool modeling37
A fast convolution-based method for peridynamic transient diffusion in arbitrary domains37
A hybrid meshfree discretization to improve the numerical performance of peridynamic models37
A thermodynamically consistent phase field model for mixed-mode fracture in rock-like materials37
A sample-efficient deep learning method for multivariate uncertainty qualification of acoustic–vibration interaction problems37
A smoothed particle hydrodynamics–peridynamics coupling strategy for modeling fluid–structure interaction problems37
Level set splitting in DEM for modeling breakage mechanics37
Residual stress constrained self-support topology optimization for metal additive manufacturing37
Data-driven variational multiscale reduced order models37
A new efficient fully-decoupled and second-order time-accurate scheme for Cahn–Hilliard phase-field model of three-phase incompressible flow37
Numerical manifold computational homogenization for hydro-dynamic analysis of discontinuous heterogeneous porous media37
Towards solving large-scale topology optimization problems with buckling constraints at the cost of linear analyses37
Deep learned finite elements36
Simulations of Laser Assisted Additive Manufacturing by Smoothed Particle Hydrodynamics36
A micro-mechanical model for unsaturated soils based on DEM36
Topology optimization of compliant mechanisms considering stress constraints, manufacturing uncertainty and geometric nonlinearity36
A three-dimensional Hellinger–Reissner virtual element method for linear elasticity problems36
A non-intrusive multifidelity method for the reduced order modeling of nonlinear problems36
Robust concurrent topology optimization of structure and its composite material considering uncertainty with imprecise probability36
Transfer learning based physics-informed neural networks for solving inverse problems in engineering structures under different loading scenarios35
Adaptive phase field method using novel physics based refinement criteria35
Probabilistic deep learning for real-time large deformation simulations35
TONR: An exploration for a novel way combining neural network with topology optimization35
Novel efficient method for structural reliability analysis using hybrid nonlinear conjugate map-based support vector regression35
Structural fatigue life prediction considering model uncertainties through a novel digital twin-driven approach35
MCSA: Multi-strategy boosted chameleon-inspired optimization algorithm for engineering applications35
An isogeometric Reissner–Mindlin shell element based on Bézier dual basis functions: Overcoming locking and improved coarse mesh accuracy35
Interior-point methods for the phase-field approach to brittle and ductile fracture35
Theory-guided Auto-Encoder for surrogate construction and inverse modeling34
Data-driven tissue mechanics with polyconvex neural ordinary differential equations34
A stable node-based smoothed PFEM for solving geotechnical large deformation 2D problems34
Overhang control based on front propagation in 3D topology optimization for additive manufacturing34
Inverse design of shell-based mechanical metamaterial with customized loading curves based on machine learning and genetic algorithm34
Thermo-elasto-plastic phase-field modelling of mechanical behaviours of sintered nano-silver with randomly distributed micro-pores34
A conservative level set method on unstructured meshes for modeling multiphase thermo-fluid flow in additive manufacturing processes34
COVID-19 dynamics across the US: A deep learning study of human mobility and social behavior34
Efficient data structures for model-free data-driven computational mechanics34
An adaptive edge-based smoothed finite element method (ES-FEM) for phase-field modeling of fractures at large deformations34
Deep material network with cohesive layers: Multi-stage training and interfacial failure analysis34
Overall equilibrium in the coupling of peridynamics and classical continuum mechanics34
Iterative surrogate model optimization (ISMO): An active learning algorithm for PDE constrained optimization with deep neural networks34
Multi phase-field modeling of anisotropic crack propagation in 3D fiber-reinforced composites based on an adaptive isogeometric meshfree collocation method33
A phase field model for cohesive fracture in micropolar continua33
Optimal design of shell-graded-infill structures by a hybrid MMC-MMV approach33
A general frame for uncertainty propagation under multimodally distributed random variables33
Reduced-order methods for dynamic problems in topology optimization: A comparative study33
A unified water/ice kinematics approach for phase-field thermo-hydro-mechanical modeling of frost action in porous media33
A computational model for simulation of steel fibre reinforced concrete with explicit fibres and cracks33
On crack opening computation in variational phase-field models for fracture33
Sensitivity analysis and lattice density optimization for sequential inherent strain method used in additive manufacturing process32
Two-phase PFEM with stable nodal integration for large deformation hydromechanical coupled geotechnical problems32
A novel three-dimensional hydraulic fracturing model based on continuum–discontinuum element method32
Variational phase-field fracture modeling with interfaces32
Higher-order nonlocal theory of Updated Lagrangian Particle Hydrodynamics (ULPH) and simulations of multiphase flows32
PINN-FORM: A new physics-informed neural network for reliability analysis with partial differential equation32
A second-order accurate, unconditionally energy stable numerical scheme for binary fluid flows on arbitrarily curved surfaces32
Image-based modelling for Adolescent Idiopathic Scoliosis: Mechanistic machine learning analysis and prediction32
A new type of peridynamics: Element-based peridynamics32
Curvilinear virtual elements for contact mechanics31
A general and fast convolution-based method for peridynamics: Applications to elasticity and brittle fracture31
A computational framework for magnetically hard and soft viscoelastic magnetorheological elastomers31
Advanced solution strategies for time-dependent reliability based design optimization31
Strength-induced peridynamic modeling and simulation of fractures in brittle materials31
The Adjoint Petrov–Galerkin method for non-linear model reduction31
Identification of crystal plasticity model parameters by multi-objective optimization integrating microstructural evolution and mechanical data31
An immersed-boundary/isogeometric method for fluid–structure interaction involving thin shells31
Topology Optimization for additive manufacturing with distortion constraints30
A tutorial on the adjoint method for inverse problems30
Machine learning-combined topology optimization for functionary graded composite structure design30
Direct probability integral method for static and dynamic reliability analysis of structures with complicated performance functions30
A framework for efficient isogeometric computations of phase-field brittle fracture in multipatch shell structures30
A comprehensive and biophysically detailed computational model of the whole human heart electromechanics30
A variational multiscale framework for atmospheric turbulent flows over complex environmental terrains30
A novel Nested Stochastic Kriging model for response noise quantification and reliability analysis30
A concurrent multiscale study of dynamic fracture30
A fast reduced-order model for radial integral boundary element method based on proper orthogonal decomposition in nonlinear transient heat conduction problems30
Strongly coupled XFEM formulation for non-planar three-dimensional simulation of hydraulic fracturing with emphasis on concrete dams30