Accelerating radiation Sn transport solves using artificial neural networks

Accelerating radiation S_n transport solves using artificial neural networks

Research output: Contribution to journal › Conference article › peer-review

1 Scopus citations

Original language	English
Pages (from-to)	825-827
Number of pages	3
Journal	Transactions of the American Nuclear Society
Volume	121
DOIs	https://doi.org/10.13182/T31185
State	Published - 2019
Externally published	Yes
Event	2019 Transactions of the American Nuclear Society, ANS 2019 - Washington, United States Duration: Nov 17 2019 → Nov 21 2019

@article{99a5ed6deead465aa8b51c8981f34763,

title = "Accelerating radiation Sn transport solves using artificial neural networks",

author = "Tano, \{Mauricio E.\} and Ragusa, \{Jean C.\}",

year = "2019",

doi = "10.13182/T31185",

language = "English",

volume = "121",

pages = "825--827",

journal = "Transactions of the American Nuclear Society",

issn = "0003-018X",

publisher = "American Nuclear Society",

note = "2019 Transactions of the American Nuclear Society, ANS 2019 ; Conference date: 17-11-2019 Through 21-11-2019",

}

TY - JOUR

T1 - Accelerating radiation Sn transport solves using artificial neural networks

AU - Tano, Mauricio E.

AU - Ragusa, Jean C.

PY - 2019

Y1 - 2019

UR - https://www.scopus.com/pages/publications/85092165707

U2 - 10.13182/T31185

DO - 10.13182/T31185

M3 - Conference article

AN - SCOPUS:85092165707

SN - 0003-018X

VL - 121

SP - 825

EP - 827

JO - Transactions of the American Nuclear Society

JF - Transactions of the American Nuclear Society

T2 - 2019 Transactions of the American Nuclear Society, ANS 2019

Y2 - 17 November 2019 through 21 November 2019

ER -