Complex Networks

Networks model many real-world phenomena in various research domains. The study of these complex networks involves researchers from many different disciplines, e.g., computer science, engineering, biology, mathematics, physics, and sociology, which has led to formation of numerous interdisciplinary fields. Owing to the exponential growth of real-world network data, the complexity of the networks has become the central issue in their modeling and understanding. Hence, there is a need for sophisticated mathematical and computational techniques for analyzing the networks to gain insights into their function.

Cone Lab

The Thermal hydraulic analysis of nuclear reactors is largely performed by what are known as system codes. These codes predict the flows in the complex network of pipes, pumps, vessels, and heat exchangers, that together form the thermal-hydraulic systems of a nuclear reactor. Codes in this category include US codes RELAP, TRAC, and TRACE and the European code CATHARE and ASTEC.

SNRI is developing new code directed towards improving the realism and reliability of code results and making the codes easier to use.

About Denethor

The Denethor provides more than 210 TFLOP/s of combined computational peroformance, 12 TB of system memory, 1.5 TB of coprocessor memory, and over 73TB of SSD storage, in aggregate.

Click here to investigate more about Denethor and the various industry participants.

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