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

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Sponsoring Org.:
USDOE Office of Science (SC), Nuclear Physics (NP)
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Grant/Contract Number:  
Resource Type:
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
American Physical Society
Country of Publication:
United States

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.
Utama, R., Piekarewicz, J., & Prosper, H. B.. Nuclear mass predictions for the crustal composition of neutron stars: A Bayesian neural network approach. United States.
Utama, R., Piekarewicz, J., and Prosper, H. B.. Wed . "Nuclear mass predictions for the crustal composition of neutron stars: A Bayesian neural network approach". United States.
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},
journal = {Physical Review C},
number = 1,
volume = 93,
place = {United States},
year = {2016},
month = {1}

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Cited by: 15 works
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