Ben Moseley - Concepedia

Author

Ben Moseley

University of Oxford ORCID

Also Known As

B. Moseley, Ben Moseley, Moseley, Ben

Publications

712

Citations

H-Index

Concepts

All Affiliations

University of Oxford ETH Zurich Ames Research Center Worcester Polytechnic Institute University of Stavanger

About

Ben Moseley is an author at University of Oxford specializing in engineering, deep learning, and machine learning.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	4	4	270
2	Data Science	2	2	138
3	Civil Engineering	1	1	105
4	Computer Science	1	1	112
5	Physics	1	1	112

Ben Moseley

Publications

672

Citations

H-Index

Page 1

	Year	Citations
Finite basis physics-informed neural networks (FBPINNs): a scalable domain decomposition approach for solving differential equations Ben Moseley, Andrew Markham, Tarje Nissen‐Meyer Advances in Computational Mathematics	2023	267
Solving the wave equation with physics-informed deep learning Ben Moseley, Andrew Markham, Tarje Nissen‐Meyer arXiv (Cornell University) Geometric LearningDeep Neural NetworksEngineeringMachine LearningPhysics	2020	112
Deep learning for fast simulation of seismic waves in complex media Ben Moseley, Tarje Nissen‐Meyer, Andrew Markham Solid Earth Convolutional Neural NetworkEngineeringMachine LearningSeismic WaveAutoencoders	2020	105
Multilevel domain decomposition-based architectures for physics-informed neural networks Victorita Dolean, Alexander Heinlein, Siddhartha Mishra, Computer Methods in Applied Mechanics and Engineering	2024	69
Peering into lunar permanently shadowed regions with deep learning Valentin Bickel, Ben Moseley, Ignacio G. López-Francos, Nature Communications	2021	40
Extreme Low-Light Environment-Driven Image Denoising over Permanently Shadowed Lunar Regions with a Physical Noise Model Ben Moseley, Valentin Bickel, Ignacio G. López-Francos, EngineeringMachine LearningPhysical Noise ModelEarth ScienceLow-light Image Denoising	2021	33
Cryogeomorphic Characterization of Shadowed Regions in the Artemis Exploration Zone Valentin Bickel, Ben Moseley, Ernst Hauber, Geophysical Research Letters GeophysicsArtemis ProgramArtemis Exploration ZoneEngineeringCryogeomorphic Characterization	2022	20
History-Matching of imbibition flow in fractured porous media Using Physics-Informed Neural Networks (PINNs) Jassem Abbasi, Ben Moseley, Takeshi Kurotori, Computer Methods in Applied Mechanics and Engineering	2025	13
Challenges and advancements in modeling shock fronts with physics-informed neural networks: A review and benchmarking study Jassem Abbasi, Ameya D. Jagtap, Ben Moseley, Neurocomputing	2025	13

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