scispace - formally typeset
X

Xiangrong Li

Researcher at University of California, Irvine

Publications -  10
Citations -  1343

Xiangrong Li is an academic researcher from University of California, Irvine. The author has contributed to research in topics: Multigrid method & Nonlinear system. The author has an hindex of 7, co-authored 10 publications receiving 1209 citations.

Papers
More filters
Journal ArticleDOI

Nonlinear modelling of cancer: Bridging the gap between cells and tumours

TL;DR: In this paper, the authors provide an overview of multiscale modelling focusing on the growth phase of tumours and bypassing the initial stage of tumourigenesis, and limit the scope further by considering models of tumor progression that do not distinguish tumour cells by their age and do not consider immune system interactions nor do they describe models of therapy.
Journal ArticleDOI

Nonlinear simulations of solid tumor growth using a mixture model: invasion and branching

TL;DR: This work shows that taxis may play a role in tumor invasion and that when nutrient plays the role of a chemoattractant, the diffusional instability is exacerbated by nutrient gradients, as predicted by linear stability theory.
Journal ArticleDOI

Solving pdes in complex geometries: a diffuse domain approach.

TL;DR: A general approach for solving partial differential equations in complex, stationary, or moving geometries with Dirichlet, Neumann, and Robin boundary conditions with matched asymptotic expansions is presented.
Journal ArticleDOI

A diffuse-interface approach for modeling transport, diffusion and adsorption/desorption of material quantities on a deformable interface.

TL;DR: A method is presented to solve two-phase problems involving a material quantity on an interface that can be advected, stretched, and change topology, and material can be adsorbed to or desorbed from it.
Journal ArticleDOI

Density-dependent quiescence in glioma invasion: instability in a simple reaction-diffusion model for the migration/proliferation dichotomy.

TL;DR: A simple go-or-grow model is formulated to investigate the dynamics of a population of glioma cells for which the switch from a migratory to a proliferating phenotype (and vice versa) depends on the local cell density.