Interdisciplinary Applied Science & Mathematics Ph.D. Program Dissertation Defense - Truong Nguyen

Thursday, June 27, 10 am to 11:30 am
Campus: 
Dayton
103 Oelman Hall
Audience: 
Current Students
Faculty
The public

DISSERTATION DEFENSE: “Efficient Numerical Methods for Chemotaxis and Plasma Modulation Instability Studies”

Nguyen, Truong, Interdisciplinary Applied Science & Mathematics PhD Program

In many physical and biological problems, it is extremely difficult to conduct experimental studies to analyze the dynamical processes of interest. Therefore, modeling and numerical simulations are used to understandsuchcomplex processes. However, many of these real-world problems are governed by systems of nonlinear partial differential equations (PDEs). Here, we consider nonlinear models, namely the Keller-Segel chemotaxis equations, the model ofearly stage cancer cellinvasionof a biological tissue,andsystem of equations describing the plasma modulation instability phenomenon.Obtaining numerical solutions to these models is particularly challenging and can be computationally expensive. This is due to the fact that the governing equations are highly nonlinear and their solutions are unstable, exhibit rapid variations and can develop singularities over a finite period of time. In this talk, we give an overview of these models and discuss somenumerical and analytical challenges posed by these models. We employ some recently developedefficientand accurate numerical approaches for the numerical solutions of these nonlinear models. Specifically, an adaptive moving mesh finite element and finite differencemethods are applied for the numerical solutions of the Keller-Segel chemotaxismodel and the cancer cell invasion model in both one and two spatial dimensions. Numerical experiments are given to address the performance of the adaptive moving mesh method. On the other hand, a high order explicit pseudo-spectral method is applied for solving the system of nonlinear equations describing the wave collapses in the plasma modulation instability phenomenon. We also implement a parallel three-dimensional solver of the pseudo-spectral method to further optimize the CPU run-time. The developed solvers are shown to accurately capture the collapsed periods, which can be hard to observe in experiments, of the cavitation during the plasma modulation instability phenomenon. We present numerical examples to demonstrate the efficiency and accuracy of the proposed methods. Finally, some concluding remarks are given.

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