Researchers at Argonne National Laboratory are preparing to use Aurora, the laboratory’s upcoming exascale supercomputer, to delve into the inner mechanics of a variety of nuclear reactor models. These simulations promise an unprecedented level of detail, offering insights that could revolutionize reactor design by improving understanding of the intricate heat flows….
DOE Picks Los Alamos Lab for $9.25M Nuclear Energy Research HPC Project
August 10, 2022 by
The U.S. Department of Energy (DOE) has announced the selection of Los Alamos National Laboratory (LANL) to lead a $9.25 million, five-year collaborative project in nuclear energy research through the Scientific Discovery through Advanced Computing (SciDAC) program. SciDAC brings together researchers in science and energy with those in software development, applied mathematics, and computer science […]
DOE: $9.25M for Research through Advanced Computing (SciDAC) Partnership in Nuclear Energy
December 15, 2021 by
The U.S. Department of Energy (DOE) has announced $9.25 million for research in the behavior and properties of structural materials under molten salt reactor conditions, via collaborations that enable effective use of DOE’s high performance computers. Scientific Discovery through Advanced Computing (SciDAC) brings together experts in key areas of science and energy research with experts […]
Interview: Knowledgebase is power for nuclear reactor developers
August 28, 2019 by
AI technologies are being used to help develop Next-gen nuclear energy systems that could help reduce our dependency on fossil fuels. In this special guest feature, Dawn Levy and Weiju Ren from ORNL explore the challenges and opportunities in sharing nuclear materials knowledge internationally. “A knowledgebase is more than a database. Data are just symbols representing observations or the products of observations. Knowledge is not only data, but also people’s understanding of the data.”
