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ISSN 打印: 2689-3967
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SPECIAL ISSUE:MACHINE LEARNING TECHNIQUES FOR APPLICATIONS IN SUSTAINABILITY RESEARCH GUEST EDITORS: VALENTINA CIRIELLO& DANIEL M. TARTAKOVSKY
DOI: 10.1615/JMachLearnModelComput.v3.i2
Table of Contents:
MACHINE LEARNING TECHNIQUES FOR APPLICATIONS IN SUSTAINABILITY RESEARCH
Valentina Ciriello, Daniel M. Tartakovsky
Valentina Ciriello
Department of Civil, Chemical, Environmental and Materials Engineering
University of Bologna, Italy
Daniel M. Tartakovsky
Department of Energy Resources, Engineering, Stanford University, 367 Panama St., Stanford, CA 94305, USA
v-vi 页数
DOI: 10.1615/JMachLearnModelComput.2022045267
IMPUTATION OF CONTIGUOUS GAPS AND EXTREMES OF SUBHOURLY GROUNDWATER TIME SERIES USING RANDOM FORESTS
Dipankar Dwivedi, Utkarsh Mital, Boris Faybishenko, Baptiste Dafflon, Charuleka Varadharajan, Deborah Agarwal, Kenneth H. Williams, Carl I. Steefel, Susan S. Hubbard
Dipankar Dwivedi
Earth and Environmental Sciences Area, Lawrence Berkeley National
Laboratory, Berkeley, CA 94720, USA
Utkarsh Mital
Earth and Environmental Sciences Area, Lawrence Berkeley National
Laboratory, Berkeley, CA 94720, USA
Boris Faybishenko
Earth and Environmental Sciences Area, Lawrence Berkeley National
Laboratory, Berkeley, CA 94720, USA
Baptiste Dafflon
Earth and Environmental Sciences Area, Lawrence Berkeley National
Laboratory, Berkeley, CA 94720, USA
Charuleka Varadharajan
Earth and Environmental Sciences Area, Lawrence Berkeley National
Laboratory, Berkeley, CA 94720, USA
Deborah Agarwal
Computational Research Division, Lawrence Berkeley National Laboratory,
Berkeley, CA 94720, USA
Kenneth H. Williams
Earth and Environmental Sciences Area, Lawrence Berkeley National
Laboratory, Berkeley, CA 94720, USA
Carl I. Steefel
Earth and Environmental Sciences Area, Lawrence Berkeley National
Laboratory, Berkeley, CA 94720, USA
Susan S. Hubbard
Earth and Environmental Sciences Area, Lawrence Berkeley National
Laboratory, Berkeley, CA 94720, USA
1-22 页数
DOI: 10.1615/JMachLearnModelComput.2021038774
MULTISTEP AND CONTINUOUS PHYSICS-INFORMED NEURAL NETWORK METHODS FOR LEARNING GOVERNING EQUATIONS AND CONSTITUTIVE RELATIONS
Ramakrishna Tipireddy, Paris Perdikaris, Panos Stinis, Alexandre M. Tartakovsky
Ramakrishna Tipireddy
Pacific Northwest National Laboratory, MSIN K7-90, Richland,
Washington 99352, USA
Paris Perdikaris
Mechanical Engineering and Applied Mechanics, University of Pennsylvania,
Philadelphia, University of Pennsylvania, Philadelphia, Pennsylvania 19104,
USA
Panos Stinis
Pacific Northwest National Laboratory, MSIN K7-90, Richland,
Washington 99352, USA
Alexandre M. Tartakovsky
Pacific Northwest National Laboratory, MSIN K7-90, Richland, Washington 99352, USA; Department of Civil and Environmental Engineering, University of Illinois Urbana-Champaign, Urbana, Illinois 61801, USA
23-46 页数
DOI: 10.1615/JMachLearnModelComput.2022041787
INVERSE ANALYSIS WITH VARIATIONAL AUTOENCODERS: A COMPARISON OF SHALLOW AND DEEP NETWORKS
Hao Wu, Daniel O'Malley, John K. Golden, Velimir V. Vesselinov
Hao Wu
Computational Earth Science, Los Alamos National Laboratory, Los Alamos, New Mexico 87545, USA
Daniel O'Malley
Computational Earth Science, Los Alamos National Laboratory, Los Alamos, New Mexico 87545, USA
John K. Golden
Information Sciences, Los Alamos National Laboratory, Los Alamos, New Mexico 87545, USA
Velimir V. Vesselinov
Computational Earth Science, Los Alamos National Laboratory, Los Alamos, New Mexico 87545, USA
47-70 页数
DOI: 10.1615/JMachLearnModelComput.2022042093
GAUSSIAN PROCESS REGRESSION AND CONDITIONAL KARHUNEN-LOÈVE EXPANSION FOR FORWARD UNCERTAINTY QUANTIFICATION AND INVERSE MODELING IN THE PRESENCE OF MEASUREMENT NOISE
Jing Li, Alexandre M. Tartakovsky
Jing Li
Pacific Northwest National Laboratory, Richland, Washington 99354, USA
Alexandre M. Tartakovsky
Pacific Northwest National Laboratory, MSIN K7-90, Richland, Washington 99352, USA; Department of Civil and Environmental Engineering, University of Illinois Urbana-Champaign, Urbana, Illinois 61801, USA
71-86 页数
DOI: 10.1615/JMachLearnModelComput.2022041893
ELECTRIC LOAD AND POWER FORECASTING USING ENSEMBLE GAUSSIAN PROCESS REGRESSION
T. Ma, David A. Barajas-Solano, R. Huang, Alexandre M. Tartakovsky
T. Ma
Pacific Northwest National Laboratory, Richland, Washington 99354, USA
David A. Barajas-Solano
Pacific Northwest National Laboratory, Richland, Washington 99354, USA
R. Huang
Pacific Northwest National Laboratory, Richland, Washington 99354, USA
Alexandre M. Tartakovsky
Pacific Northwest National Laboratory, MSIN K7-90, Richland, Washington 99352, USA; Department of Civil and Environmental Engineering, University of Illinois Urbana-Champaign, Urbana, Illinois 61801, USA
87-110 页数
DOI: 10.1615/JMachLearnModelComput.2022041871
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