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Title: Nuclear mass predictions for the crustal composition of neutron stars: A Bayesian neural network approach

Authors:
; ;
Publication Date:
Sponsoring Org.:
USDOE Office of Science (SC), Nuclear Physics (NP)
OSTI Identifier:
1235770
Grant/Contract Number:  
FD05-92ER40750
Resource Type:
Journal Article: Publisher's Accepted Manuscript
Journal Name:
Physical Review C
Additional Journal Information:
Journal Name: Physical Review C Journal Volume: 93 Journal Issue: 1; Journal ID: ISSN 2469-9985
Publisher:
American Physical Society
Country of Publication:
United States
Language:
English

Citation Formats

Utama, R., Piekarewicz, J., and Prosper, H. B.. Nuclear mass predictions for the crustal composition of neutron stars: A Bayesian neural network approach. United States: N. p., 2016. Web. doi:10.1103/PhysRevC.93.014311.
Utama, R., Piekarewicz, J., & Prosper, H. B.. Nuclear mass predictions for the crustal composition of neutron stars: A Bayesian neural network approach. United States. https://doi.org/10.1103/PhysRevC.93.014311
Utama, R., Piekarewicz, J., and Prosper, H. B.. 2016. "Nuclear mass predictions for the crustal composition of neutron stars: A Bayesian neural network approach". United States. https://doi.org/10.1103/PhysRevC.93.014311.
@article{osti_1235770,
title = {Nuclear mass predictions for the crustal composition of neutron stars: A Bayesian neural network approach},
author = {Utama, R. and Piekarewicz, J. and Prosper, H. B.},
abstractNote = {},
doi = {10.1103/PhysRevC.93.014311},
url = {https://www.osti.gov/biblio/1235770}, journal = {Physical Review C},
issn = {2469-9985},
number = 1,
volume = 93,
place = {United States},
year = {2016},
month = {1}
}

Journal Article:
Free Publicly Available Full Text
Publisher's Version of Record at https://doi.org/10.1103/PhysRevC.93.014311

Citation Metrics:
Cited by: 15 works
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