Native Fortran Implementation of TensorFlow-Trained Deep and Bayesian Neural Networks

Aidan Furlong; Xingang Zhao; Robert Salko; Xu Wu

doi:10.13182/T140-48572

Native Fortran Implementation of TensorFlow-Trained Deep and Bayesian Neural Networks

Aidan Furlong
, Xingang Zhao
, Robert Salko
, Xu Wu

Advanced Reactor Systems

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

Original language	English
Pages (from-to)	474-477
Number of pages	4
Journal	Transactions of the American Nuclear Society
Volume	132
Issue number	1
DOIs	https://doi.org/10.13182/T140-48572
State	Published - 2025
Event	ANS Annual Conference, 2025 - Chicago, United States Duration: Jun 15 2025 → Jun 18 2025

Funding

The authors from North Carolina State University were also funded by DOE’s Office of Nuclear Energy Distinguished Early Career Program (DECP) under award number DENE0009467.

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10.13182/T140-48572

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title = "Native Fortran Implementation of TensorFlow-Trained Deep and Bayesian Neural Networks",

author = "Aidan Furlong and Xingang Zhao and Robert Salko and Xu Wu",

year = "2025",

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pages = "474--477",

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note = "ANS Annual Conference, 2025 ; Conference date: 15-06-2025 Through 18-06-2025",

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T1 - Native Fortran Implementation of TensorFlow-Trained Deep and Bayesian Neural Networks

AU - Furlong, Aidan

AU - Zhao, Xingang

AU - Salko, Robert

AU - Wu, Xu

PY - 2025

Y1 - 2025

UR - https://www.scopus.com/pages/publications/105016580481

U2 - 10.13182/T140-48572

DO - 10.13182/T140-48572

M3 - Conference article

AN - SCOPUS:105016580481

SN - 0003-018X

VL - 132

SP - 474

EP - 477

JO - Transactions of the American Nuclear Society

JF - Transactions of the American Nuclear Society

IS - 1

T2 - ANS Annual Conference, 2025

Y2 - 15 June 2025 through 18 June 2025

ER -

Native Fortran Implementation of TensorFlow-Trained Deep and Bayesian Neural Networks

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