Computational nuclear quantum many-body problem: The UNEDF project
| Autor: | Nicolas Schunck, Scott Bogner, Pieter Maris, Richard Furnstahl, Mihai Horoi, George I. Fann, Masha Sosonkina, J. Terasaki, Junchen Pei, Erich Ormand, Ewing Lusk, Petr Navrátil, Gaute Hagen, Joseph Carlson, Aurel Bulgac, Witold Nazarewicz, Stefano Gandolfi, Calvin W. Johnson, Jason Sarich, James P. Vary, Gustavo Nobre, Hai Ah Nam, Esmond G. Ng, Stefan M. Wild, Thomas Papenbrock, Steven C. Pieper, M. Kortelainen, Jonathan Engel, Sofia Quaglioni, Kenneth J. Roche, Ian J. Thompson |
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| Jazyk: | angličtina |
| Rok vydání: | 2013 |
| Předmět: |
Energy density functional
Nuclear Theory ta114 Computer science FOS: Physical sciences General Physics and Astronomy ComputerApplications_COMPUTERSINOTHERSYSTEMS Supercomputer Nuclear Theory (nucl-th) Many-body problem Range (mathematics) Hardware and Architecture Systems engineering Statistical physics Uncertainty quantification Quantum Nuclear theory |
| Zdroj: | Computer Physics Communications. 184(10):2235-2250 |
| ISSN: | 0010-4655 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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