The following pages link to Wing K. Liu (Q185337):
Displaying 50 items.
- Multi-scale meshfree parallel computations for viscous, compressible flows (Q1595002) (← links)
- Mesh-free Galerkin simulations of dynamic shear band propagation and failure mode transition. (Q1598078) (← links)
- From virtual clustering analysis to self-consistent clustering analysis: a mathematical study (Q1628754) (← links)
- Enriched reproducing kernel particle method for fractional advection-diffusion equation (Q1633033) (← links)
- An enriched finite element method to fractional advection-diffusion equation (Q1702790) (← links)
- Flexible piecewise approximations based on partition of unity (Q1773957) (← links)
- Three-dimensional bridging scale analysis of dynamic fracture (Q1781588) (← links)
- Mixed variational principles and stabilization of spurious modes in the 9-node element (Q1820007) (← links)
- Nonlinear versions of flexurally superconvergent elements (Q1823055) (← links)
- Explicit numerical study of softening in porous ductile solids (Q1939862) (← links)
- Erratum on ``Two-scale mechanism-based theory of nonlinear viscoelasticity'' (Q1941545) (← links)
- An improved reproducing kernel particle method for nearly incompressible finite elasticity (Q1970185) (← links)
- Meshless methods for shear-deformable beams and plates (Q1970651) (← links)
- Implementation of boundary conditions for meshless methods (Q1971445) (← links)
- An integrated process-structure-property modeling framework for additive manufacturing (Q1986239) (← links)
- Phase field modeling of fracture in nonlinearly elastic solids via energy decomposition (Q1987823) (← links)
- A parallelized three-dimensional cellular automaton model for grain growth during additive manufacturing (Q1990750) (← links)
- Analytical expression of RKPM shape functions (Q1994996) (← links)
- Data science for finite strain mechanical science of ductile materials (Q1999552) (← links)
- Hierarchical deep learning neural network (HiDeNN): an artificial intelligence (AI) framework for computational science and engineering (Q2020738) (← links)
- MAP123-EPF: a mechanistic-based data-driven approach for numerical elastoplastic modeling at finite strain (Q2020782) (← links)
- Adaptive hyper reduction for additive manufacturing thermal fluid analysis (Q2020898) (← links)
- Image-based modelling for adolescent idiopathic scoliosis: mechanistic machine learning analysis and prediction (Q2021272) (← links)
- Hierarchical deep-learning neural networks: finite elements and beyond (Q2033626) (← links)
- Multiresolution clustering analysis for efficient modeling of hierarchical material systems (Q2039069) (← links)
- HiDeNN-TD: reduced-order hierarchical deep learning neural networks (Q2072507) (← links)
- Concurrent \(n\)-scale modeling for non-orthogonal woven composite (Q2086043) (← links)
- Mechanistically informed data-driven modeling of cyclic plasticity via artificial neural networks (Q2138793) (← links)
- Self-consistent clustering analysis for multiscale modeling at finite strains (Q2174143) (← links)
- An inverse modeling approach for predicting filled rubber performance (Q2179181) (← links)
- Fracture in tension-compression-asymmetry solids via phase field modeling (Q2179188) (← links)
- MAP123: a data-driven approach to use 1D data for 3D nonlinear elastic materials modeling (Q2179201) (← links)
- Efficient multiscale modeling for woven composites based on self-consistent clustering analysis (Q2180449) (← links)
- MAP123-EP: a mechanistic-based data-driven approach for numerical elastoplastic analysis (Q2180473) (← links)
- A sequential homogenization of multi-coated micromechanical model for functionally graded interphase composites (Q2281478) (← links)
- A data-driven multiscale theory for modeling damage and fracture of composite materials (Q2283699) (← links)
- A Petrov-Galerkin finite element method for the fractional advection-diffusion equation (Q2308632) (← links)
- An energetically consistent concurrent multiscale method for heterogeneous heat transfer and phase transition applications (Q2308894) (← links)
- High-order central difference scheme for Caputo fractional derivative (Q2309013) (← links)
- Self-consistent clustering analysis: an efficient multi-scale scheme for inelastic heterogeneous materials (Q2309199) (← links)
- Microstructural material database for self-consistent clustering analysis of elastoplastic strain softening materials (Q2310223) (← links)
- Clustering discretization methods for generation of material performance databases in machine learning and design optimization (Q2319387) (← links)
- Fast calculation of interaction tensors in clustering-based homogenization (Q2319392) (← links)
- Derivation of heterogeneous material laws via data-driven principal component expansions (Q2319393) (← links)
- Predicting band structure of 3D mechanical metamaterials with complex geometry via XFEM (Q2341506) (← links)
- A statistical descriptor based volume-integral micromechanics model of heterogeneous material with arbitrary inclusion shape (Q2356441) (← links)
- Cast filling simulations of thin-walled cavities (Q2365143) (← links)
- Bridging scale methods for nanomechanics and materials (Q2372478) (← links)
- Immersed finite element method and its applications to biological systems (Q2372501) (← links)
- Moving particle finite element method with superconvergence: nodal integration formulation and applications (Q2382802) (← links)
