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Multi-scale Computation and Computational Mechanics
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Eric Johnsen's Computational Flow Physics Laboratory
Drawing from applied mathematics, numerical analysis, physical modeling and high-performance computing, Eric Johnsen's research group develops new tools for numerical simulations and modeling of fluid mechanics problems. These techniques are used to uncover the basic physics underlying complex multiscale and multiphysics flows, including unsteady compressible flow and shock waves, multiphase flows, turbulence and mixing, interfacial instabilities, plasma dynamics and non-newtonian flows. This work applies to biomedical engineering, energy sciences, aeronautics, turbomachinery and naval engineering.
Vikram Gavini's Macroscopic Material Behavior from Atomistic Considerations Group
Vikram Gavini's research group is developing computational and mathematical tools to perform electronic structure calculations at macroscopic scales, thus paving the way for an accurate understanding of the behavior of defects and their influence on material properties.
Noel Perkins' Group
Noel Perkins' group is using computational rod theory to efficiently model DNA's biological response to loading. Doing so enables us to understand, for example, how DNA forms supercoils (image to right) and how it forms loops when bound to gene-regulating proteins (image below).
Angela Violi's Nanoparticle Formation in Combustion Group
Angela Violi's research group is developing a multiscale computational approach to characterize nanoparticle formation in combustion environments. This approach is key to understanding the atomistic interactions underlying nanoparticle structures and growth
Krishna Garikipati's Computational Physics Group
The Computational Physics Group develops theory and numerical methods for coupled physical phenomena spanning mechanics, thermodynamics, transport, reactions and phase transformations. We focus on problems in biology and materials physics, and draw heavily from the methods of applied mathematics and numerical analysis.
Researchers at U-M are using multi-scale computational methods to research ranging from the molecular basis of soot formation in combustion to the manner in which molecular-level defects affect macroscopic mechanical properties. These methods focus on predicting the mechanical, electrical, and optical behavior of materials and structures from smaller scale models in an accurate and reliable way. Such scale-bridging sometimes involves the inclusion of quantum-mechanical calculations or complex substructure models.
Computational mechanics seeks to develop new methods for computer aided prediction of physical phenomenon important to engineering, whether it be how to design the microscale of a structure to optimize its wave propagation response or predicting DNA conformations.
ME Researchers leverage the resources of the parallel computing cluster maintained by the Michigan Center for Advanced Computing to perform large scale computations.
Simulation of turbulence
Structural health monitoring and biodynamics
Long time-scale modeling on materials behavior in complex environments via potential energy landscape based atomistic simulation techniques
Computational Physics Group
Electronic structure calculations at macro-scale
Biomechanics and electroacoustics
Phononic material design and computational mechanics
Computational fluid dynamics
Optimization and homogenization methods
Multiscale simulation of materials and structures, self-assembled nanostructures
DNA mechanics and dynamics
Energy storage materials; integrated computational materials engineering
Multiscale Computations of reactive systems from combustion to biology