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Journal of Contaminant Hydrology
|
December 12, 2018
Nonnegative tensor factorization for contaminant source identification
Velimir V Vesselinov, Boian S Alexandrov, Daniel O'Malley
Journal of Contaminant Hydrology
|
November 28, 2017
Contaminant source identification using semi-supervised machine learning
Velimir V Vesselinov, Boian S Alexandrov, Daniel O'Malley
Scientific Reports
|
November 5, 2022
Physics-informed machine learning with differentiable programming for heterogeneous underground reservoir pressure management
Aleksandra Pachalieva, Daniel O'Malley, Dylan Robert Harp, et al.
Plos One
|
December 12, 2018
Nonnegative/Binary matrix factorization with a D-Wave quantum annealer
Daniel O'Malley, Velimir V Vesselinov, Boian S Alexandrov, et al.
Scientific Reports
|
July 8, 2024
Progressive transfer learning for advancing machine learning-based reduced-order modeling
Teeratorn Kadeethum, Daniel O'Malley, Youngsoo Choi, et al.
Scientific Reports
|
December 31, 2024
Information extraction from historical well records using a large language model
Zhiwei Ma, Javier E Santos, Greg Lackey, et al.
Scientific Data
|
September 17, 2024
Aerial imagery dataset of lost oil wells
Anastasiia Kim, Teeratorn Kadeethum, Christine Downs, et al.
Scientific Reports
|
November 30, 2022
Reduced order modeling for flow and transport problems with Barlow Twins self-supervised learning
Teeratorn Kadeethum, Francesco Ballarin, Daniel O'Malley, et al.
Scientific Reports
|
May 20, 2022
Quantum annealing algorithms for Boolean tensor networks
Elijah Pelofske, Georg Hahn, Daniel O'Malley, et al.
Scientific Reports
|
February 13, 2024
Addressing quantum's "fine print" with efficient state preparation and information extraction for quantum algorithms and geologic fracture networks
Jessie M Henderson, John Kath, John K Golden, et al.
Page
of 4
Search research articles
Search
Showing results (11-20 of 35) with videos related to
Sort By:
Page
of 4
Journal of Contaminant Hydrology
|
December 12, 2018
Nonnegative tensor factorization for contaminant source identification
Velimir V Vesselinov, Boian S Alexandrov, Daniel O'Malley
Journal of Contaminant Hydrology
|
November 28, 2017
Contaminant source identification using semi-supervised machine learning
Velimir V Vesselinov, Boian S Alexandrov, Daniel O'Malley
Scientific Reports
|
November 5, 2022
Physics-informed machine learning with differentiable programming for heterogeneous underground reservoir pressure management
Aleksandra Pachalieva, Daniel O'Malley, Dylan Robert Harp, et al.
Plos One
|
December 12, 2018
Nonnegative/Binary matrix factorization with a D-Wave quantum annealer
Daniel O'Malley, Velimir V Vesselinov, Boian S Alexandrov, et al.
Scientific Reports
|
July 8, 2024
Progressive transfer learning for advancing machine learning-based reduced-order modeling
Teeratorn Kadeethum, Daniel O'Malley, Youngsoo Choi, et al.
Scientific Reports
|
December 31, 2024
Information extraction from historical well records using a large language model
Zhiwei Ma, Javier E Santos, Greg Lackey, et al.
Scientific Data
|
September 17, 2024
Aerial imagery dataset of lost oil wells
Anastasiia Kim, Teeratorn Kadeethum, Christine Downs, et al.
Scientific Reports
|
November 30, 2022
Reduced order modeling for flow and transport problems with Barlow Twins self-supervised learning
Teeratorn Kadeethum, Francesco Ballarin, Daniel O'Malley, et al.
Scientific Reports
|
May 20, 2022
Quantum annealing algorithms for Boolean tensor networks
Elijah Pelofske, Georg Hahn, Daniel O'Malley, et al.
Scientific Reports
|
February 13, 2024
Addressing quantum's "fine print" with efficient state preparation and information extraction for quantum algorithms and geologic fracture networks
Jessie M Henderson, John Kath, John K Golden, et al.
Page
of 4