Abstract
The UNEDF project was a large-scale collaborative effort that applied high-performance computing to the nuclear quantum many-body problem. The primary focus of the project was on constructing, validating, and applying an optimized nuclear energy density functional, which entailed a wide range of pioneering developments in microscopic nuclear structure and reactions, algorithms, high-performance computing, and uncertainty quantification. UNEDF demonstrated that close associations among nuclear physicists, mathematicians, and computer scientists can lead to novel physics outcomes built on algorithmic innovations and computational developments. This review showcases a wide range of UNEDF science results to illustrate this interplay.
Original language | English |
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Pages (from-to) | 2235-2250 |
Number of pages | 16 |
Journal | Computer Physics Communications |
Volume | 184 |
Issue number | 10 |
DOIs | |
State | Published - Oct 2013 |
Funding
The UNEDF project was carried out as part of the SciDAC (Scientific Discovery through Advanced Computing) program led by Advanced Scientific Computing Research (ASCR), part of the Office of Science in the US Department of Energy (DOE). The SciDAC program was started in 2001 as a way to couple the applied mathematics and computer science research sponsored by ASCR to applied computational science application projects traditionally supported by other offices in DOE. UNEDF was funded jointly by ASCR, the Nuclear Physics program of the Office of Science, and the National Nuclear Security Administration. Over 50 physicists, applied mathematicians, and computer scientists from 9 universities and 7 national laboratories in the United States, as well as many international collaborators, participated in UNEDF. We are grateful to the numerous other UNEDF members who contributed throughout the collaboration to the works summarized here. Support for the UNEDF and NUCLEI collaborations was provided through the SciDAC program funded by the US Dept. of Energy (DOE), Office of Science, Advanced Scientific Computing Research and Nuclear Physics programs. This work was also supported by DOE Contract Nos. DE-FG02-96ER40963 (Univ. Tenn.), DE-AC52-07NA27344 (LLNL), DE-AC02-05CH11231 (LBNL), DE-AC05-00OR22725 (ORNL), DE-AC02-06CH11357 and DE-FC02-07ER41457 (ANL), DE-FC02-09ER41584 (Central Michigan Univ.), DE-FC02-09ER41582 (Iowa State Univ.), DE-FG02-87ER40371 (Iowa State Univ.), and DE-FC02-09ER41586 (Ohio State Univ.). This research used the computational resources of the Oak Ridge Leadership Computing Facility (OLCF) at ORNL and Argonne Leadership Computing Facility (ALCF) at ANL provided through the INCITE program. Computational resources were also provided by the National Institute for Computational Sciences (NICS) at ORNL, the Laboratory Computing Resource Center (LCRC) at ANL, and the National Energy Research Scientific Computing Center (NERSC) at LBNL.
Funders | Funder number |
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UNEDF | |
National Science Foundation | 1002478, 1068217 |
U.S. Department of Energy | |
Office of Science | DE-FG02-96ER40963 |
National Nuclear Security Administration | |
Advanced Scientific Computing Research |
Keywords
- Carlo
- Configuration interaction
- Coupled-cluster method
- Density functional theory
- Effective field theory
- High-performance computing
- Monte
- Quantum