Role of physical structure on performance index of crossflow microchannel heat exchanger with regression analysis

2024-8-27

Improved accuracy of continuum surface flux models for metal additive manufacturing melt pool simulations

2024-8-22

An efficient PGD solver for structural dynamics applications

2024-7-23

Enhanced prediction of thermomechanical systems using machine learning, PCA, and finite element simulation

2024-6-29

A computational two-scale approach to cancellous bone remodelling

2024-5-23

Peridynamic numerical investigation of asymmetric strain-controlled fatigue behaviour using the kinetic theory of fracture

2024-5-13

Solving forward and inverse problems of contact mechanics using physics-informed neural networks

2024-5-3

Optimal trajectory planning combining model-based and data-driven hybrid approaches

2024-4-29

Adaptive space-time model order reduction with dual-weighted residual (MORe DWR) error control for poroelasticity

2024-4-18

Accelerated construction of projection-based reduced-order models via incremental approaches

2024-4-18

Asymptotically consistent and computationally efficient modeling of short-ranged molecular interactions between curved slender fibers undergoing large 3D deformations

2024-4-15

Large-scale graph-machine-learning surrogate models for 3D-flowfield prediction in external aerodynamics

2024-3-23

A posteriori error estimation for model order reduction of parametric systems

2024-3-11

The displacement mechanism of the cracked rock – a seismic design and prediction study using XFEM and ANNs

2024-2-28

A hybrid twin based on machine learning enhanced reduced order model for real-time simulation of magnetic bearings

2024-2-3

Fast rapidly convergent penetrable scattering computations

2024-1-20

Dimension independent data sets approximation and applications to classification

2024-1-3

Deep convolutional architectures for extrapolative forecasts in time-dependent flow problems

2023-11-30

Real-world application of a discrete feedback control system for flexible biogas production

2023-11-27

Classification and analysis of common simplifications in part-scale thermal modelling of metal additive manufacturing processes

2023-11-8

Solving multiphysics-based inverse problems with learned surrogates and constraints

2023-10-11

On the flow conditions requiring detailed geometric modeling for multiscale evaluation of coastal forests

2023-8-24

Compatible interface wave–structure interaction model for combining mesh-free particle and finite element methods

2023-7-26

A DeepONet multi-fidelity approach for residual learning in reduced order modeling

2023-7-26

Scalable block preconditioners for saturated thermo-hydro-mechanics problems

2023-6-26

Sensitivity-guided iterative parameter identification and data generation with BayesFlow and PELS-VAE for model calibration

2023-6-24

Numerical modelling of the process chain for aluminium Tailored Heat-Treated Profiles

2023-6-12

Reduced-order modeling for stochastic large-scale and time-dependent flow problems using deep spatial and temporal convolutional autoencoders

2023-5-19

Finite element method-enhanced neural network for forward and inverse problems

2023-5-13

POD-Galerkin reduced order models and physics-informed neural networks for solving inverse problems for the Navier–Stokes equations

2023-3-18

Regularized regressions for parametric models based on separated representations

2023-3-9

A “data-driven uncertainty” computational method to model and predict instabilities of a frictional system

2023-2-13

Damage model for simulating cohesive fracture behavior of multi-phase composite materials

2023-2-6

Seepage failure prediction of breakwater using an unresolved ISPH-DEM coupling method enriched with Terzaghi’s critical hydraulic gradient

2023-1-23

Bayesian calibration of coupled computational mechanics models under uncertainty based on interface deformation

2022-12-22

Multivariate moment-matching for model order reduction of quadratic-bilinear systems using error bounds

2022-12-12

The Pseudo-Direct Numerical Simulation Method considered as a Reduced Order Model

2022-10-28

Empowering engineering with data, machine learning and artificial intelligence: a short introductive review

2022-10-27

A deformation-dependent coupled Lagrangian/semi-Lagrangian meshfree hydromechanical formulation for landslide modeling

2022-9-30

A multi-point constraint unfitted finite element method

2022-9-21

Thermo-mechanical simulations of powder bed fusion processes: accuracy and efficiency

2022-9-12

Stress-constrained topology optimization using approximate reanalysis with on-the-fly reduced order modeling

2022-9-6

A partitioned material point method and discrete element method coupling scheme

2022-8-16

A Lagrangian–Eulerian procedure for the coupled solution of the Navier–Stokes and shallow water equations for landslide-generated waves

2022-7-30

Numerical modeling of the propagation process of landslide surge using physics-informed deep learning

2022-7-12

A physics-based neural network for flight dynamics modelling and simulation

2022-7-4

A methodology to assess and improve the physics consistency of an artificial neural network regression model for engineering applications

2022-7-2

An energy-based study of the embedded element method for explicit dynamics

2022-7-2

Physics-Informed Neural Network water surface predictability for 1D steady-state open channel cases with different flow types and complex bed profile shapes

2022-6-30

Geometry aware physics informed neural network surrogate for solving Navier–Stokes equation (GAPINN)

2022-6-21