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Yao-Li Chuang

Researcher at California State University, Northridge

Publications -  35
Citations -  2557

Yao-Li Chuang is an academic researcher from California State University, Northridge. The author has contributed to research in topics: Radicalization & Population. The author has an hindex of 14, co-authored 35 publications receiving 2243 citations. Previous affiliations of Yao-Li Chuang include University of Texas Health Science Center at Houston & University of California, Los Angeles.

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Journal ArticleDOI

Self-Propelled Particles with Soft-Core Interactions: Patterns, Stability, and Collapse

TL;DR: For the first time, a coherent theory is presented, based on fundamental statistical mechanics, for all possible phases of collective motion of driven particle systems, to predict stability and morphology of organization starting from the shape of the two-body interaction.
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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

State Transitions and the Continuum Limit for a 2D Interacting, Self-Propelled Particle System

TL;DR: In this article, the authors study a class of swarming problems where particles evolve dynamically via pairwise interaction potentials and a velocity selection mechanism and find that the swarming system undergoes various changes of state as a function of the self-propulsion and interaction potential parameters.
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Three-Dimensional Multispecies Nonlinear Tumor Growth–II: Tumor Invasion and Angiogenesis

TL;DR: Heterogeneity in the physiologically complex tumor microenvironment, caused by non-uniform distribution of oxygen, cell nutrients, and metabolites, as well as phenotypic changes affecting cellular-scale parameters, can be quantitatively linked to the tumor macro-scale as a mechanism that promotes morphological instability.
Proceedings ArticleDOI

Multi-Vehicle Flocking: Scalability of Cooperative Control Algorithms using Pairwise Potentials

TL;DR: Cooperative control algorithms using pairwise interactions, for the purpose of controlling flocks of unmanned vehicles, show critical thresholds exist between coherent, stable, and scalable flocking and dispersed or collapsing motion of the group.