Computational Science (Primary faculty mentor: Dr. Jung-Han Kimn)
Objective: Computational science compromise many interesting research areas including
efficient numerical methods for application problems but mainly efficient procedures from
mathematical and theoretical analysis will be emphasized.
Program: REU student scholars in the computational science group will encourage
working with other research divisions but their research will be focused on mathematical
analysis to improve computational or theoretical improvement during numerical
implementation for mathematical models of physical phenomena. Emphasis will be placed
on understanding the theoretical foundations of underlying physical or mathematical
models, selection and implementation of appropriate computational methodology, and
interpretation and validation of results.
Possible research topics include:
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Parallel implementation of simulations for charge transport in solar cells.
Efficient parallel algorithm based on application problem
Numerical methods for Partial Differential Models for the applications.
Efficient numerical methods for physically motivated problems from computational
physics and computational fluid dynamics
Preferred Qualification for Applicant: The computational science group will recruit from
engineering and mathematical sciences disciplines. Ideal students would have a
fundamental background on differential equations and program. with a strong interest in
mathematical analysis on numerical methods.