FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2897761084> ?p ?o ?g. }

• W2897761084 abstract "Ab initio approaches in nuclear theory, such as the no-core shell model (NCSM), have been developed for approximately solving finite nuclei with realistic strong interactions. The NCSM and other approaches require an extrapolation of the results obtained in a finite basis space to the infinite basis space limit and assessment of the uncertainty of those extrapolations. Each observable requires a separate extrapolation and most observables have no proven extrapolation method. We propose a feed-forward artificial neural network (ANN) method as an extrapolation tool to obtain the ground state energy and the ground state point-proton root-mean-square (rms) radius along with their extrapolation uncertainties. The designed ANNs are sufficient to produce results for these two very different observables in $^6$Li from the ab initio NCSM results in small basis spaces that satisfy the following theoretical physics condition: independence of basis space parameters in the limit of extremely large matrices. Comparisons of the ANN results with other extrapolation methods are also provided." @default.
• W2897761084 created "2018-10-26" @default.
• W2897761084 creator A5019991032 @default.
• W2897761084 creator A5046033530 @default.
• W2897761084 creator A5056131016 @default.
• W2897761084 creator A5057435739 @default.
• W2897761084 creator A5064897591 @default.
• W2897761084 creator A5067695513 @default.
• W2897761084 creator A5070734926 @default.
• W2897761084 creator A5076118736 @default.
• W2897761084 creator A5077547409 @default.
• W2897761084 creator A5082180083 @default.
• W2897761084 creator A5086361037 @default.
• W2897761084 date "2019-05-10" @default.
• W2897761084 modified "2023-10-14" @default.
• W2897761084 title "Deep learning: Extrapolation tool for <i>ab initio</i> nuclear theory" @default.
• W2897761084 cites W1523430416 @default.
• W2897761084 cites W1566724649 @default.
• W2897761084 cites W1737513720 @default.
• W2897761084 cites W189058675 @default.
• W2897761084 cites W1946796168 @default.
• W2897761084 cites W1963832993 @default.
• W2897761084 cites W1968995855 @default.
• W2897761084 cites W1969379008 @default.
• W2897761084 cites W1978951565 @default.
• W2897761084 cites W1982472656 @default.
• W2897761084 cites W1982823307 @default.
• W2897761084 cites W1990467485 @default.
• W2897761084 cites W1992565221 @default.
• W2897761084 cites W1996879716 @default.
• W2897761084 cites W1997235324 @default.
• W2897761084 cites W1999913383 @default.
• W2897761084 cites W2026433542 @default.
• W2897761084 cites W2029955933 @default.
• W2897761084 cites W2030380925 @default.
• W2897761084 cites W2043591290 @default.
• W2897761084 cites W2055781056 @default.
• W2897761084 cites W2059586807 @default.
• W2897761084 cites W2073857857 @default.
• W2897761084 cites W2087070363 @default.
• W2897761084 cites W2103496339 @default.
• W2897761084 cites W2122203937 @default.
• W2897761084 cites W2137983211 @default.
• W2897761084 cites W2139766561 @default.
• W2897761084 cites W2141507352 @default.
• W2897761084 cites W2155482699 @default.
• W2897761084 cites W2165095187 @default.
• W2897761084 cites W2214642226 @default.
• W2897761084 cites W2317701741 @default.
• W2897761084 cites W2346261186 @default.
• W2897761084 cites W2518144417 @default.
• W2897761084 cites W2597752105 @default.
• W2897761084 cites W2609825742 @default.
• W2897761084 cites W2758062726 @default.
• W2897761084 cites W2777110852 @default.
• W2897761084 cites W2806629281 @default.
• W2897761084 cites W2911546748 @default.
• W2897761084 cites W2951716910 @default.
• W2897761084 cites W302189745 @default.
• W2897761084 cites W3098048614 @default.
• W2897761084 cites W3098669482 @default.
• W2897761084 cites W3099452017 @default.
• W2897761084 cites W3101157198 @default.
• W2897761084 cites W3122437485 @default.
• W2897761084 cites W3125357839 @default.
• W2897761084 doi "https://doi.org/10.1103/physrevc.99.054308" @default.
• W2897761084 hasPublicationYear "2019" @default.
• W2897761084 type Work @default.
• W2897761084 sameAs 2897761084 @default.
• W2897761084 citedByCount "36" @default.
• W2897761084 countsByYear W28977610842019 @default.
• W2897761084 countsByYear W28977610842020 @default.
• W2897761084 countsByYear W28977610842021 @default.
• W2897761084 countsByYear W28977610842022 @default.
• W2897761084 countsByYear W28977610842023 @default.
• W2897761084 crossrefType "journal-article" @default.
• W2897761084 hasAuthorship W2897761084A5019991032 @default.
• W2897761084 hasAuthorship W2897761084A5046033530 @default.
• W2897761084 hasAuthorship W2897761084A5056131016 @default.
• W2897761084 hasAuthorship W2897761084A5057435739 @default.
• W2897761084 hasAuthorship W2897761084A5064897591 @default.
• W2897761084 hasAuthorship W2897761084A5067695513 @default.
• W2897761084 hasAuthorship W2897761084A5070734926 @default.
• W2897761084 hasAuthorship W2897761084A5076118736 @default.
• W2897761084 hasAuthorship W2897761084A5077547409 @default.
• W2897761084 hasAuthorship W2897761084A5082180083 @default.
• W2897761084 hasAuthorship W2897761084A5086361037 @default.
• W2897761084 hasBestOaLocation W28977610841 @default.
• W2897761084 hasConcept C121332964 @default.
• W2897761084 hasConcept C121864883 @default.
• W2897761084 hasConcept C12426560 @default.
• W2897761084 hasConcept C132459708 @default.
• W2897761084 hasConcept C134306372 @default.
• W2897761084 hasConcept C151201525 @default.
• W2897761084 hasConcept C2524010 @default.
• W2897761084 hasConcept C2781442258 @default.
• W2897761084 hasConcept C28826006 @default.
• W2897761084 hasConcept C32848918 @default.
• W2897761084 hasConcept C33923547 @default.
• W2897761084 hasConcept C62520636 @default.

• next