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Journal articlevan Beek JW, Dolean V, Moseley B, 2026,
Local feature filtering for scalable and well-conditioned domain-decomposed random feature methods
, Computer Methods in Applied Mechanics and Engineering, Vol: 449, Pages: 118583-118583, ISSN: 0045-7825 -
Journal articleAbbasi J, Jagtap AD, Moseley B, et al., 2025,
Challenges and advancements in modeling shock fronts with physics-informed neural networks: A review and benchmarking study
, NEUROCOMPUTING, Vol: 657, ISSN: 0925-2312 -
Journal articleAbbasi J, Moseley B, Kurotori T, et al., 2025,
History-Matching of imbibition flow in fractured porous media Using Physics-Informed Neural Networks (PINNs)
, COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING, Vol: 437, ISSN: 0045-7825- Cite
- Citations: 4
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Journal articleAlsubeihi M, Jessop A, Moseley B, et al., 2025,
Modern, Efficient, and Differentiable Transport Equation Models Using JAX: Applications to Population Balance Equations
, INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH, Vol: 64, Pages: 4541-4553, ISSN: 0888-5885 -
Journal articleDolean V, Heinlein A, Mishra S, et al., 2024,
Multilevel domain decomposition-based architectures for physics-informed neural networks
, COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING, Vol: 429, ISSN: 0045-7825 -
Journal articleDelgado-Centeno JI, Harder P, Bickel V, et al., 2024,
Superresolution of Lunar Satellite Images for Enhanced Robotic Traverse Planning: Maximizing the Value of Existing Data Products for Space Robotics
, IEEE ROBOTICS & AUTOMATION MAGAZINE, Vol: 31, Pages: 100-112, ISSN: 1070-9932 -
Journal articleMoseley B, Markham A, Nissen-Meyer T, 2023,
Finite basis physics-informed neural networks (FBPINNs): a scalable domain decomposition approach for solving differential equations
, ADVANCES IN COMPUTATIONAL MATHEMATICS, Vol: 49, ISSN: 1019-7168 -
Journal articleBickel VT, Moseley B, Hauber E, et al., 2022,
Cryogeomorphic Characterization of Shadowed Regions in the Artemis Exploration Zone
, GEOPHYSICAL RESEARCH LETTERS, Vol: 49, ISSN: 0094-8276 -
Journal articleSzenicer A, Reinwald M, Moseley B, et al., 2022,
Seismic savanna: machine learning for classifying wildlife and behaviours using ground-based vibration field recordings
, REMOTE SENSING IN ECOLOGY AND CONSERVATION, Vol: 8, Pages: 236-250- Cite
- Citations: 15
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Journal articleBickel VT, Moseley B, Lopez-Francos I, et al., 2021,
Peering into lunar permanently shadowed regions with deep learning
, NATURE COMMUNICATIONS, Vol: 12
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