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This content will become publicly available on January 16, 2019

Title: Validating neural-network refinements of nuclear mass models

Authors:
;
Publication Date:
Grant/Contract Number:
FG02-92ER40750
Type:
Publisher's Accepted Manuscript
Journal Name:
Physical Review C
Additional Journal Information:
Journal Name: Physical Review C Journal Volume: 97 Journal Issue: 1; Journal ID: ISSN 2469-9985
Publisher:
American Physical Society
Sponsoring Org:
USDOE Office of Science (SC), Nuclear Physics (NP) (SC-26)
Country of Publication:
United States
Language:
English
OSTI Identifier:
1417065

Utama, R., and Piekarewicz, J.. Validating neural-network refinements of nuclear mass models. United States: N. p., Web. doi:10.1103/PhysRevC.97.014306.
Utama, R., & Piekarewicz, J.. Validating neural-network refinements of nuclear mass models. United States. doi:10.1103/PhysRevC.97.014306.
Utama, R., and Piekarewicz, J.. 2018. "Validating neural-network refinements of nuclear mass models". United States. doi:10.1103/PhysRevC.97.014306.
@article{osti_1417065,
title = {Validating neural-network refinements of nuclear mass models},
author = {Utama, R. and Piekarewicz, J.},
abstractNote = {},
doi = {10.1103/PhysRevC.97.014306},
journal = {Physical Review C},
number = 1,
volume = 97,
place = {United States},
year = {2018},
month = {1}
}

Works referenced in this record:

Nuclear Ground-State Masses and Deformations
journal, March 1995
  • Moller, P.; Nix, J. R.; Myers, W. D.
  • Atomic Data and Nuclear Data Tables, Vol. 59, Issue 2, p. 185-381
  • DOI: 10.1006/adnd.1995.1002