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DOE, NNSA select partners for AI supercomputers
The Department of Energy, Argonne National Laboratory, NVIDIA, and Oracle have agreed to a public-private partnership to deliver the DOE’s largest AI supercomputers, named Solstice and Equinox.
Hong Sik Lim, Hee Cheon No
Nuclear Science and Engineering | Volume 152 | Number 1 | January 2006 | Pages 87-97
Technical Paper | doi.org/10.13182/NSE06-5
Articles are hosted by Taylor and Francis Online.
We developed a multidimensional GAs Multicomponent Mixture Analysis (GAMMA) code in order to investigate chemical reaction behaviors related to an air ingress accident and the thermofluid transients in high-temperature gas-cooled reactors. The implicit continuous Eulerian technique is adopted for the reduction of a 10N × 10N matrix into an N × N pressure difference matrix and fast transient computation. In the validation with a high-temperature engineering test reactor (HTTR)-simulated air ingress experiment, the onset times of natural convection are accurately predicted within a 10% deviation. Small internal leaks in the HTTR-simulated test facility have been found to significantly affect the consequence of air ingress. In all the simulated cases for a SANA-1 afterheat removal test, the predictions of GAMMA are in a high level of agreement with the measured temperature profiles and are comparable to the results of other codes (TINTE, THERMIX/DIREKT, and TRIO-EF).