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In addition to the broad technical skills of our staff, CSM has many physical resources to apply to challenging problems. Autonomous collaborative robots, computing and communication testbed systems, and immersive visualization environments are just a few of the resources available in the division and through our centers.

Automotive Crashworthiness

When first established by CSM, the automotive crashworthiness project had assets including several vehicles (Audi A8s, Ford Explorer) and portions of vehicles, used to construct digital models for computational simulations. Current resources include a portfolio of digital models and associated materials datasets used for computational simulations.

Center for Engineering Science Advanced Research

The Center for Engineering Science Advanced Research (CESAR), established as a national resource in 1984 by the DOE Office of Basic Energy Sciences, is a collaborative research facility providing guests from universities, federal laboratories, and industry with access to state-of-the-art (and often unique) technology and equipment in a stimulating research environment. CESAR resources include

Division Computing Resources

The CSM computing environment includes a network of Unix workstations; Unix, Linux, and NT servers; experimental and production clusters; PCs and Macs; notebook computers; and a variety of network communications equipment, including wireless LANs.

Tennessee Oak Ridge Cluster

The Tennessee Oak Ridge Cluster (TORC) Project is a collaborative effort between the University of Tennessee's Innovative Computer Laboratory and the CSM. Uses of this testbed include development of user interfaces to assist in the system management of PC clusters.


The CSM Visualization Task Group uses fast parallel processors to drive immersive viewing platforms ranging from desktop to theater size. Coupled with long-range trackers and haptic (tactile feedback) devices, these provide a robust toolset for data exploration and remote collaborations.

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Updated: Thursday, 15-Dec-2011 10:12:25 EST