Dan Lu

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

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

SCHOLARLY PAPERS

6

DOWNLOADS

197

SSRN CITATIONS

1

CROSSREF CITATIONS

0

Scholarly Papers (6)

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1.

Time Series Anomaly Detection in Power Electronics Signals with Recurrent and Convlstm Autoencoders

Number of pages: 24 Posted: 29 Mar 2022
Majdi I. Radaideh, Chris Pappas, Jared Walden, Dan Lu, Lasitha Vidyaratne, Thomas Britton, Kishansingh Rajput, Malachi Schram and Sarah Cousineau
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, Government of the United States of America - Oak Ridge National Laboratory, Thomas Jefferson National Accelerator Facility, Newport News, affiliation not provided to SSRN, Thomas Jefferson National Accelerator Facility, Newport News, Thomas Jefferson National Accelerator Facility, Newport News and Government of the United States of America - Oak Ridge National Laboratory
Downloads 115 (394,779)
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anomaly detection, Autoencoders, ConvLSTM, High Voltage Converter Modulator, Spallation Neutron Source

2.

A Deep Learning-Based Direct Forecasting of CO 2 Plume Migration

Number of pages: 36 Posted: 02 Sep 2022
Ming Fan, Dan Lu and Siyan Liu
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 30 (782,462)

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Geologic carbon storage, CO2 plume migration forecasting, Deep Learning, parameterization, latent space mapping

3.

Uncertainty Quantification of Machine Learning-Based Permeability Estimation from Rock Images

Number of pages: 47 Posted: 17 Nov 2022
Siyan Liu, Ming Fan 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 and Government of the United States of America - Oak Ridge National Laboratory
Downloads 27 (790,375)

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uncertainty quantification, machine learning, convolutional neural networks, permeability, digital rock physics

4.

Multi-Module Based CVAE to Predict HVCM Faults in the SNS Accelerator

Number of pages: 31 Posted: 11 May 2023
Yasir Alanazi, Malachi Schram, Kishansingh Rajput, Steven Goldenberg, Lasitha Vidyaratne, Chris Pappas, Majdi Radaideh, Dan Lu, Pradeep Ramuhalli and Sarah Cousineau
Thomas Jefferson National Accelerator Facility, Newport News, Thomas Jefferson National Accelerator Facility, Newport News, Thomas Jefferson National Accelerator Facility, Newport News, Thomas Jefferson National Accelerator Facility, Newport News, Thomas Jefferson National Accelerator Facility, Newport News, Government of the United States of America - Oak Ridge National Laboratory, University of Michigan, 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 13 (917,015)

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Anomaly detection, Particle Accelerators, Variational Autoencoder, Spallation Neutron Source, High Voltage Converter Modulator

5.

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 8 (964,538)

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

6.

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 4 (997,465)

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