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Simulated deep CT characterization of liver metastases with high-resolution filtered back projection reconstruction
Early diagnosis and accurate prognosis of colorectal cancer is critical for determining optimal treatment plans and maximizing patient outcomes,...
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A novel local meshless collocation method with partial upwind scheme for solving convection-dominated diffusion problems
In this study, a novel upwind local backward substitution method (upwind-BSM) is developed for the simulation of two-dimensional convection-dominated...
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A computational approach to integrate three-dimensional peridynamics and two-dimensional higher-order classical elasticity theory for fracture analysis
As a nonlocal alternative of classical continuum theory, peridynamics (PD) is mathematically compatible to discontinuities, making it particularly...
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MTGNet: multi-label mesh quality evaluation using topology-guided graph neural network
Mesh quality directly affects the accuracy and efficiency of numerical simulation. Mesh quality evaluation aims to evaluate the suitability of the...
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A general-purpose meshfree Kirchhoff–Love shell formulation
A thin shell formulation is developed for the approximation by a meshfree Reproducing Kernel Particle Method (RKPM). The formulation is derived from...
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An electromagnetic shape optimisation for perfectly electric conductors by the time-domain boundary integral equations
This study proposes a shape optimisation framework for unsteady electromagnetic scattering problems on the basis of the time-domain boundary integral...
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An efficient multiscale topology optimization method for frequency response minimization of cellular composites
It is vital to control the vibration of cellular composites under harmonic excitation in engineering. Due to numerous design variables and expensive...
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Speculative anisotropic mesh adaptation on shared memory for CFD applications
Efficient and robust anisotropic mesh adaptation is crucial for Computational Fluid Dynamics (CFD) simulations. The CFD Vision 2030 Study highlights...
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Schlieren imaging and video classification of alphabet pronunciations: exploiting phonetic flows for speech recognition and speech therapy
Speech is a highly coordinated process that requires precise control over vocal tract morphology/motion to produce intelligible sounds while...
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Automatic decomposition of protrusion volumes on thin-shell models for hexahedral mesh generation
Hexahedral mesh generation of thin-shell models is frequently constrained by volume decomposition, which is tedious and time-consuming. The complex...
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MPIPN: a multi physics-informed PointNet for solving parametric acoustic-structure systems
Machine learning is employed for solving physical systems governed by general nonlinear partial differential equations (PDEs). However, complex...
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Generative hyperelasticity with physics-informed probabilistic diffusion fields
Many natural materials exhibit highly complex, nonlinear, anisotropic, and heterogeneous mechanical properties. Recently, it has been demonstrated...
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Enforcing local boundary conditions in peridynamic models of diffusion with singularities and on arbitrary domains
AbstractImposing local boundary conditions and mitigating the surface effect at free surfaces in peridynamic (PD) models are often desired. The...
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On the use of elliptic PDEs for the parameterisation of planar multipatch domains
This paper presents a parameterisation framework based on (inverted) elliptic PDEs for addressing the planar parameterisation problem of finding a...
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V4RIN: visual analysis of regional industry network with domain knowledge
The regional industry network (RIN) is a type of financial network derived from industry networks that possess the capability to describe the...
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A Galerkin meshless framework for static and vibration analysis of magneto-electro-elastic structures in hygrothermal environment
The work performance of smart structures is easily affected by external environmental factors. A Galerkin meshless method, multi-physics zonal...
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Predictive insights into nonlinear nanofluid flow in rotating systems: a machine learning approach
This research seeks to explore the heat shift mechanisms in a rotating system that contains a hybrid nanofluid comprising of graphene oxide and...
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Corner error reduction by Chebyshev transformed orthogonal grid
In the context of surrogate-based optimization, the efficient global exploration of the design space strongly relies on the overall accuracy of the...
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Data-driven simulation of network-based tau spreading tailored to individual Alzheimer's patients
Tau tangles in the brain cortex spread along the brain network in distinct patterns among Alzheimer's patients. We aim to simulate their...
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Nonlinear electromechanical topology optimization method for stretchable electronic interconnect structures
The conductive interconnect structure that connects the electrical functional devices is an important micro-nano structure in stretchable...
