Predictive modeling
DOE Funds Research Projects on High-Performance Computing
The Department of Energy has awarded $16 million in funding to support seven research projects seeking to advance new scientific concepts and developments in materials sciences, atmospheric predictions and other fields using high-performance computing.
Ceren Susut, the Department of Energy’s acting associate director of science for advanced scientific computing research, said the projects may improve existing predictive modeling, simulation and data analysis capabilities for scientific discovery and innovation.
The national laboratories and universities and colleges selected to receive funding include the Pacific Northwest National Laboratory, the Lawrence Berkeley National Laboratory, Sandia National Laboratories, Johns Hopkins University and Spelman College, Nextgov/FCW reported.
The grants were awarded under the DOE’s Advanced Scientific Computing Research program. According to the agency’s Office of Science, ASCR aims to harness the power of HPC to address problems in energy, climate change and human health.
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