Abstract
At the National Renewable Energy Laboratory (NREL)-the United States' primary laboratory for renewable energy and energy efficiency research-computational science is a cornerstone for innovation across disciplines. From high-performance computing (HPC) and advanced data analytics to visualization and machine learning, computational excellence is driving breakthroughs in energy technologies, next-generation transportation, and robust integrated energy systems.
| Original language | American English |
|---|---|
| Pages (from-to) | 7-8 |
| Number of pages | 2 |
| Journal | Computing in Science and Engineering |
| Volume | 27 |
| Issue number | 1 |
| DOIs | |
| State | Published - 2025 |
NLR Publication Number
- NREL/JA-2C00-94152
Keywords
- adaptation models
- computational modeling
- data analysis
- data visualization
- energy efficiency
- high performance computing
- laboratories
- renewable energy sources
- research and development
- scientific computing
- special issues and sections
- US Department of Energy
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