We develop efficient, precise algorithms to study and solve complex problems governed by the laws of mechanics. This plays a fundamental role in many important problems, such as materials design, tissue engineering, biomedical imaging, prediction of natural events, energy exploration and use, and more.
Research Areas
- Computational fluid dynamics
- Computational nonlinear poro-elasticity
- Computation of highly nonlinear mechanical systems
- Fluid-structure interaction
- Flow through porous media
- Fracture and fragmentation
- Inverse problems and optimization
- Multiscale approaches
- Uncertainty quantification on complex systems
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Related Study Opportunities
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PhD and Master of Science (MS) in Civil Engineering
- Both programs offer a Computational Mechanics & Scientific Computing Study Track
Master of Engineering (MEng)
- In Computational Mechanics & Scientific Computing is a collaboration with the Thomas Lord Department of Mechanical Engineering & Materials Science at Duke
- In Civil Engineering offers a concentration in Computational Engineering
Undergraduate Research