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Multi-scale Computation and Computational Mechanics

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Research Highlights: 

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.


Rayhaneh Akhavan

Simulation of turbulence

Bogdan Epureanu

Structural health monitoring and biodynamics

Yue Fan

Long time-scale modeling on materials behavior in complex environments via potential energy landscape based atomistic simulation techniques

Krishna Garikipati

Computational Physics Group

Vikram Gavini

Electronic structure calculations at macro-scale

Karl Grosh

Biomechanics and electroacoustics

Greg Hulbert

Phononic material design and computational mechanics

Eric Johnsen

Computational fluid dynamics

Noboru Kikuchi

Optimization and homogenization methods

Wei Lu

Multiscale simulation of materials and structures, self-assembled nanostructures

Noel Perkins

DNA mechanics and dynamics

Don Siegel

Energy storage materials; integrated computational materials engineering

Angela Violi

Multiscale Computations of reactive systems from combustion to biology