Randomized low-rank decompositions of nuclear three-body interactions

First-principles simulations of many-fermion systems are commonly limited by the computational requirements of processing large data objects. As a remedy, we propose the use of low-rank approximations of three-body interactions, which are the dominant such limitation in nuclear physics. We introduce a randomized decomposition technique to handle the excessively large matrix dimensions and study the sensitivity of low-rank properties to interaction details. The developed low-rank three-nucleon interactions are benchmarked in simulations of few- and many-body systems. Exploiting low-rank properties provides a promising route to extend the microscopic description of atomic nuclei to large systems where storage requirements exceed the computational capacities of the most advanced high-performance computing facilities. Published by the American Physical Society 2024

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Publication Details

Journal
Physical Review Research
Published
2024-12-31
DOI
https://doi.org/10.1103/physrevresearch.6.043331
Citations
1
Primary Topic
Particle physics theoretical and experimental studies
Type
article
Field-Weighted Citation Impact
0.66

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Randomized low-rank decompositions of nuclear three-body interactions

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Randomized low-rank decompositions of nuclear three-body interactions

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article en
1 citations

Abstract

First-principles simulations of many-fermion systems are commonly limited by the computational requirements of processing large data objects. As a remedy, we propose the use of low-rank approximations of three-body interactions, which are the dominant such limitation in nuclear physics. We introduce a randomized decomposition technique to handle the excessively large matrix dimensions and study the sensitivity of low-rank properties to interaction details. The developed low-rank three-nucleon interactions are benchmarked in simulations of few- and many-body systems. Exploiting low-rank properties provides a promising route to extend the microscopic description of atomic nuclei to large systems where storage requirements exceed the computational capacities of the most advanced high-performance computing facilities. Published by the American Physical Society 2024

Physical Review ResearchVol. 6(4)
GSI Helmholtz Centre for Heavy Ion Research (DE), Technische Universität Darmstadt (DE), Max Planck Institute for Nuclear Physics (DE)
European Commission, Deutsche Forschungsgemeinschaft, Bundesministerium für Bildung und Forschung, Gauss Centre for Supercomputing, H2020 European Research Council
Openalex Percentile: Top 13%
Particle physics theoretical and experimental studies
0.66
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