prikaz prve stranice dokumenta First step in the nuclear inverse Kohn-Sham problem: From densities to potentials
  Download
PDF 689.87 KB
Scientific paper - Original scientific paper
First step in the nuclear inverse Kohn-Sham problem: From densities to potentials
Physical Review C, 101 (2020), 2; 024315. https://doi.org/10.1103/PhysRevC.101.024315
Accorto, G.; Brandolini, P.; Marino, F.; Porro, A.; Scalesi, A.; Colò, G.; Roca-Maza, X.; Vigezzi, E.

Institutional repository: Repository of the Faculty of Science

Cite this document

Accorto, G., Brandolini, P., Marino, F., Porro, A., Scalesi, A., Colò, G. ... Vigezzi, E. (2020). First step in the nuclear inverse Kohn-Sham problem: From densities to potentials. Physical Review C, 101. (2). doi: 10.1103/PhysRevC.101.024315

Accorto, G., et al. "First step in the nuclear inverse Kohn-Sham problem: From densities to potentials." Physical Review C, vol. 101, no. 2, 2020. https://doi.org/10.1103/PhysRevC.101.024315

Accorto, G., P. Brandolini, F. Marino, A. Porro, A. Scalesi, G. Colò, X. Roca Maza and E. Vigezzi. "First step in the nuclear inverse Kohn-Sham problem: From densities to potentials." Physical Review C 101, no. 2 (2020). https://doi.org/10.1103/PhysRevC.101.024315

Accorto, G., et al. (2020) 'First step in the nuclear inverse Kohn-Sham problem: From densities to potentials', Physical Review C, 101(2). doi: 10.1103/PhysRevC.101.024315

Accorto G, Brandolini P, Marino F, Porro A, Scalesi A, Colò G, and sur.. First step in the nuclear inverse Kohn-Sham problem: From densities to potentials. Physical Review C [Internet]. 2020 [cited 2025 January 04];101(2). doi: 10.1103/PhysRevC.101.024315

G. Accorto, et al., "First step in the nuclear inverse Kohn-Sham problem: From densities to potentials", Physical Review C, vol. 101, no. 2, 2020. [Online]. Available at: https://urn.nsk.hr/urn:nbn:hr:217:777269. [Accessed: 04 January 2025]

Metadata
Title (english)First step in the nuclear inverse Kohn-Sham problem: From densities to potentials
AuthorG. Accorto
AuthorP. Brandolini
AuthorF. Marino
AuthorA. Porro
AuthorA. Scalesi
AuthorG. Colò
AuthorX. Roca-Maza
AuthorE. Vigezzi
Author's institutionUniversity of Zagreb
Faculty of Science
(Department of Physics)
Scientific / art field,
discipline and subdiscipline		NATURAL SCIENCES
Physics
Abstract (english)
Nuclear density functional theory (DFT) plays a prominent role in the understanding of nuclear structure, being the approach with the widest range of applications. Hohenberg and Kohn theorems warrant the existence of a nuclear energy density functional (EDF), yet its form is unknown. Current efforts to build a nuclear EDF are hindered by the lack of a strategy for systematic improvement. In this context, alternative approaches should be pursued and, so far, an unexplored avenue is that related to the inverse DFT problem. DFT is based on the one-to-one correspondence between Kohn-Sham (KS) potentials and densities. The exact EDF produces the exact density, so that from the knowledge of experimental or ab initio densities one may deduce useful information through reverse engineering. The idea has already been proved to be useful in the case of electronic systems. The general problem should be dealt with in steps, and the objective of the present work is to focus on testing algorithms to extract the Kohn-Sham potential within the simplest ansatz from the knowledge of the experimental neutron and proton densities. We conclude that, while robust algorithms exist, the experimental densities present some critical aspects. Finally, we provide some perspectives for future works.
Languageenglish
Publication typeScientific paper - Original scientific paper
Publication statusPublished
Peer reviewPeer review - international
Publication versionPublished version
Journal titlePhysical Review C
Numberingvol. 101, no. 2, 024315
p-ISSN2469-9985
e-ISSN2469-9993
DOIhttps://doi.org/10.1103/PhysRevC.101.024315
URN:NBNurn:nbn:hr:217:777269
Publication2020
Document URLhttps://link.aps.org/doi/10.1103/PhysRevC.101.024315
Type of resourceText
Access conditionsOpen access
Terms of useLicence In copyright icon
Created on2020-09-22 11:52:15