Search Results - "Liu, Gui-Rong"

A selective smoothed finite element method with visco‐hyperelastic constitutive model for analysis of biomechanical responses of brain tissues.

Authors: Wu, Shao‐Wei Jiang, Chen Jiang, Chao et al.

Source: International Journal for Numerical Methods in Engineering; 11/30/2020, Vol. 121 Issue 22, p5123-5149, 27p

Deep convolutional neural network aided optimization for cold spray 3D simulation based on molecular dynamics.

Authors: Cheng, Zhenxing Wang, Hu Liu, Gui-Rong

Source: Journal of Intelligent Manufacturing; Apr2021, Vol. 32 Issue 4, p1009-1023, 15p

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An Introduction to Programming Physics-Informed Neural Network-Based Computational Solid Mechanics.

Authors: Bai, Jinshuai Jeong, Hyogu Batuwatta-Gamage, C. P. et al.

Source: International Journal of Computational Methods; Dec2023, Vol. 20 Issue 10, p1-29, 29p

On the accuracy of SPH formulations with boundary integral terms.

Authors: Boregowda, Parikshit Liu, Gui-Rong

Source: Mathematics & Computers in Simulation; Aug2023, Vol. 210, p320-345, 26p

Molecular Dynamics Simulation of Crack Growth in Mono-Crystal Nickel With Voids and Inclusions.

Authors: Cheng, Zhenxing Wang, Hu Liu, Gui-Rong et al.

Source: International Journal of Computational Methods; Dec2022, Vol. 19 Issue 10, p1-17, 17p

A novel neural network method for solid mechanics problems of heterogeneous bars.

Authors: Lanka, Mitra Ramakrishna Liu, Gui-Rong

Source: Engineering Applications of Artificial Intelligence; Sep2025:Part A, Vol. 156, pN.PAG-N.PAG, 1p

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Three Dimensional CS-FEM Phase-Field Modeling Technique for Brittle Fracture in Elastic Solids.

Authors: Bhowmick, Sauradeep Liu, Gui-Rong

Source: Applied Sciences (2076-3417); Dec2018, Vol. 8 Issue 12, p2488, 19p

A novel formulation for heat conduction using non-convex meshes based on smoothed finite element method.

Authors: Wu, Shao-Wei Yang, Rui Niu, Rui-Ping et al.

Source: International Journal of Heat & Mass Transfer; Feb2025, Vol. 237, pN.PAG-N.PAG, 1p

A boundary integral based particle initialization algorithm for Smooth Particle Hydrodynamics.

Authors: Boregowda, Parikshit Liu, Gui-Rong

Source: Computer Physics Communications; May2025, Vol. 310, pN.PAG-N.PAG, 1p

Van der Waals Density Functional Theory vdW-DFq for Semihard Materials.

Authors: Peng, Qing Wang, Guangyu Liu, Gui-Rong et al.

Source: Crystals (2073-4352); May2019, Vol. 9 Issue 5, p243, 1p

Preface — Computational Modeling for Cardiovascular Disease and Biological Applications.

Authors: Tang, Dalin Li, Zhi-Yong Liu, Gui-Rong

Source: International Journal of Computational Methods; May2019, Vol. 16 Issue 3, pN.PAG-N.PAG, 6p

Deep learning in computational mechanics: a review.

Authors: Herrmann, Leon Kollmannsberger, Stefan

Source: Computational Mechanics. Aug2024, Vol. 74 Issue 2, p281-331. 51p.

A robust radial point interpolation method empowered with neural network solvers (RPIM-NNS) for nonlinear solid mechanics.

Authors: Bai, Jinshuai Liu, Gui-Rong Rabczuk, Timon et al.

Source: Computer Methods in Applied Mechanics & Engineering; Sep2024, Vol. 429, pN.PAG-N.PAG, 1p

A smoothed finite element method for analysis of anisotropic large deformation of passive rabbit ventricles in diastole.

Authors: Jiang, Chen Liu, Gui‐Rong Han, Xu et al.

Source: International Journal for Numerical Methods in Biomedical Engineering. Jan2015, Vol. 31 Issue 1, p1-N.PAG. 25p.

Selective smoothed finite element methods for extremely large deformation of anisotropic incompressible bio-tissues.

Authors: Jiang, Chen Zhang, Zhi‐Qian Han, Xu et al.

Source: International Journal for Numerical Methods in Engineering; Aug2014, Vol. 99 Issue 8, p587-610, 24p

Data-driven physics-constrained recurrent neural networks for multiscale damage modeling of metallic alloys with process-induced porosity.

Authors: Deng, Shiguang Hosseinmardi, Shirin Wang, Libo et al.

Source: Computational Mechanics. Jul2024, Vol. 74 Issue 1, p191-221. 31p.

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Ce modified Cu/Zn/Al catalysts for direct liquefaction of microcrystalline cellulose in supercritical methanol.

Authors: Liu, Guo Bao, Gui-rong Wang, Hua et al.

Source: Cellulose. Oct2019, Vol. 26 Issue 15, p8291-8300. 10p.