An approach to adjustment of relativistic mean field model parameters
dc.authorid | BAYRAM, Tuncay/0000-0003-3704-0818 | |
dc.contributor.author | Bayram, Tuncay | |
dc.contributor.author | Akkoyun, Serkan | |
dc.date.accessioned | 2025-03-23T19:35:40Z | |
dc.date.available | 2025-03-23T19:35:40Z | |
dc.date.issued | 2017 | |
dc.department | Sinop Üniversitesi | |
dc.description | International Conference on Nuclear Data for Science and Technology (ND) -- SEP 11-16, 2016 -- Bruges, BELGIUM | |
dc.description.abstract | The Relativistic Mean Field (RMF) model with a small number of adjusted parameters is powerful tool for correct predictions of various ground-state nuclear properties of nuclei. Its success for describing nuclear properties of nuclei is directly related with adjustment of its parameters by using experimental data. In the present study, the Artificial Neural Network (ANN) method which mimics brain functionality has been employed for improvement of the RMF model parameters. In particular, the understanding capability of the ANN method for relations between the RMF model parameters and their predictions for binding energies (BEs) of Ni-58 and Pb-208 have been found in agreement with the literature values. | |
dc.description.sponsorship | Scientific Research Council of Turkey (TUBITAK) [115F291] | |
dc.description.sponsorship | This work has been supported by the Scientific Research Council of Turkey (TUBITAK) under Project No. 115F291. | |
dc.identifier.doi | 10.1051/epjconf/201714612033 | |
dc.identifier.isbn | 978-2-7598-9020-0 | |
dc.identifier.issn | 2100-014X | |
dc.identifier.scopus | 2-s2.0-85030480579 | |
dc.identifier.scopusquality | N/A | |
dc.identifier.uri | https://doi.org/10.1051/epjconf/201714612033 | |
dc.identifier.uri | https://hdl.handle.net/11486/5903 | |
dc.identifier.volume | 146 | |
dc.identifier.wos | WOS:000426429500372 | |
dc.identifier.wosquality | N/A | |
dc.indekslendigikaynak | Web of Science | |
dc.indekslendigikaynak | Scopus | |
dc.language.iso | en | |
dc.publisher | E D P Sciences | |
dc.relation.ispartof | Nd 2016: International Conference On Nuclear Data For Science and Technology | |
dc.relation.publicationcategory | Konferans Öğesi - Uluslararası - Kurum Öğretim Elemanı | |
dc.rights | info:eu-repo/semantics/openAccess | |
dc.snmz | KA_WOS_20250323 | |
dc.subject | Hartree-Bogoliubov Theory | |
dc.subject | Ground-State Properties | |
dc.title | An approach to adjustment of relativistic mean field model parameters | |
dc.type | Conference Object |