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Ethan T. Coon

Government of the United States of America - Oak Ridge National Laboratory

1 Bethel Valley Road, P.O. Box 2008, Mail Stop 608

Room B-106, Building 5700

Oak Ridge, TN 37831

United States

SCHOLARLY PAPERS

3

DOWNLOADS

79

TOTAL CITATIONS

0

Scholarly Papers (3)

1.

Simulating Long-Term Dynamics of Solute Transport in a Mountainous Stream Network Using a Multiscale Transport Model Informed by Machine Learning

Number of pages: 37 Posted: 24 Feb 2024
Government of the United States of America - Oak Ridge National Laboratory, Government of the United States of America - Oak Ridge National Laboratory, Government of the United States of America - Oak Ridge National Laboratory, Oregon State University, affiliation not provided to SSRN and Government of the United States of America - Oak Ridge National Laboratory
Downloads 41 (1,209,354)

Abstract:

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modeling, reactive transport, multiscale, ATS, LSTM, network

2.

Improving the Estimation of Atmospheric Vapor Pressure Using Interpretable Lstm

Number of pages: 18 Posted: 06 Sep 2023
Bo Gao, Ethan T. Coon, Peter Thornton and Dan Lu
Government of the United States of America - Oak Ridge National Laboratory, Government of the United States of America - Oak Ridge National Laboratory, Government of the United States of America - Oak Ridge National Laboratory and Government of the United States of America - Oak Ridge National Laboratory
Downloads 24 (1,399,036)

Abstract:

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LSTM network, Interpretable deep learning, Static attribute variable, Atmospheric humidity, Vapor pressure

3.

Improving the Estimation of Atmospheric Vapor Pressure Using Interpretable Lstm

Number of pages: 18 Posted: 21 Aug 2023
Bo Gao, Ethan T. Coon, Peter Thornton and Dan Lu
Government of the United States of America - Oak Ridge National Laboratory, Government of the United States of America - Oak Ridge National Laboratory, Government of the United States of America - Oak Ridge National Laboratory and Government of the United States of America - Oak Ridge National Laboratory
Downloads 14 (1,518,554)

Abstract:

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LSTM network, Interpretable deep learning, Static attribute variable, Atmospheric humidity, Vapor pressure