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Title: Refining mass formulas for astrophysical applications: A Bayesian neural network approach

Abstract

Not provided.

Authors:
;
Publication Date:
Research Org.:
Florida State Univ., Tallahassee, FL (United States)
Sponsoring Org.:
USDOE Office of Science (SC)
OSTI Identifier:
1540988
DOE Contract Number:  
FG02-92ER40750
Resource Type:
Journal Article
Journal Name:
Physical Review C
Additional Journal Information:
Journal Volume: 96; Journal Issue: 4; Journal ID: ISSN 2469-9985
Publisher:
American Physical Society (APS)
Country of Publication:
United States
Language:
English
Subject:
Physics

Citation Formats

Utama, R., and Piekarewicz, J. Refining mass formulas for astrophysical applications: A Bayesian neural network approach. United States: N. p., 2017. Web. doi:10.1103/physrevc.96.044308.
Utama, R., & Piekarewicz, J. Refining mass formulas for astrophysical applications: A Bayesian neural network approach. United States. https://doi.org/10.1103/physrevc.96.044308
Utama, R., and Piekarewicz, J. 2017. "Refining mass formulas for astrophysical applications: A Bayesian neural network approach". United States. https://doi.org/10.1103/physrevc.96.044308.
@article{osti_1540988,
title = {Refining mass formulas for astrophysical applications: A Bayesian neural network approach},
author = {Utama, R. and Piekarewicz, J.},
abstractNote = {Not provided.},
doi = {10.1103/physrevc.96.044308},
url = {https://www.osti.gov/biblio/1540988}, journal = {Physical Review C},
issn = {2469-9985},
number = 4,
volume = 96,
place = {United States},
year = {2017},
month = {10}
}

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