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The Institute for Computational Engineering and Sciences (ICES) fosters interdisciplinary research and graduate studies at
THE UNIVERSITY OF TEXAS AT AUSTIN.
ICES Graduate Studies
The ICES Computational Science, Engineering, and Mathematics (CSEM) Graduate Studies program prepares students for the interdisciplinary field of computational engineering and sciences. Graduate studies focus on computational science, computational engineering, applied mathematics, scientific research, and computer modeling, simulation, and visualization. CSEM degrees provide graduates with exciting career opportunities in academia, industry, medicine, and government labs. The use of mathematical modeling is growing rapidly, and it is used to simulate, for example, the remediation of contaminants in the groundwater, tidal surges in coastal environments, space shuttle entry physics, drug design and delivery, reactive transport of magma, the damage and failure of composite materials, patient specific surgical procedures, dynamics of polar ice sheets, and the human ear and vocal cords.
ICES Programs
ICES supports six major programs in computational sciences and engineering (CSE):
ICES Research Gallery
1
The ICES Computational Visualization Center produces extremely clear features of microscopic material like this bacteriophage P22 virus with its symmetrically structured capsid on the outside and double-stranded DNA genome on the inside.
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Work in Dr. Thomas J.R. Hughes' group uses isogeometric analysis to simulate local nanoparticulate drug delivery systems to diffuse atherosclerosis in a patient-specific coronary artery.
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A graph depicting the curvatures leading to saddles on a potential energy landscape in a chemical reaction. Courtesy Graeme Henkelman of the Center for Computational Molecular Sciences.
4
Two Dimensional contour plots of a magnetized plasma density distribution function for the streaming Weibel instability computed for the Vlasov Maxwell system by conservative DG schemes. From: Y.Cheng, I.M. Gamba, Fengyan Li and P.J. Morrison, Discontinuous Galerkin Methods for Vlasov-Maxwell Equations, SIAM Num. Anal. 2014.
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A graph depicting the curvatures leading to saddles on a potential energy landscape in a chemical reaction. Courtesy Graeme Henkelman of the Center for Computational Molecular Sciences.
6
Researchers in the ICES Parallel Algorithms for Data Analysis and Simulation Group use large-scale simulations to characterize blood rheology and phase transition diagrams of the shape of red blood cells in microvasculature.
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Segmentation of a 3D anatomically accurate model for finite element simulation of heart mitral valves (Red: Anterior Leaflet, Green: Posterior Leaflet, Yellow: Chordae Tendineae & Papillary Muscles). Courtesy of the Center for Cardiovascular Simulation.
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The ribosome of Trypanosoma, the protozoan parasite that causes sleeping sickness. Knowing the structure of the ribosome--an essential protein-making organelle-- can help researchers develop drugs that interfere with its function, and improve treatment outcomes for those with sleeping sickness.
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The ICES Center for Computational Geosciences and Optimization develops models of global-scale problems such as earthquakes, as well as simulations that provide insight into the basic principles that have shaped the planet such as the global mantle flow pictured here.
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Two Dimensional contour plots of a magnetized plasma density distribution function for the streaming Weibel instability computed for the Vlasov Maxwell system by conservative DG schemes. From: Y.Cheng, I.M. Gamba, Fengyan Li and P.J. Morrison, Discontinuous Galerkin Methods for Vlasov-Maxwell Equations, SIAM Num. Anal. 2014.
11
Hexahedral mesh models like this one of a CO2 demonstration site provide the accuracy demanded by the ICES Center for Subsurface Modeling.