Matthew D. Piggott

34 papers A* 3Journal 27Unranked 4

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	AI-Empowered Latent Four-dimensional Variational Data Assimilation for River Discharge Forecasting. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. Kun Wang, Gabriele Bertoli, Sibo Cheng, Kai Schröter, Enrica Caporali, Matthew D. Piggott, Yanghua Wang, Rossella Arcucci
2025	—	`conf`	Latent Three-Dimensional Variational Data Assimilation with Convolutional Autoencoder and LSTM for Flood Forecasting. ICCS (Workshops 4) Kun Wang, Gabriele Bertoli, Kai Schröter, Enrica Caporali, Matthew D. Piggott, Yanghua Wang, Rossella Arcucci
2025	J	`jnl`	Machine learning for modelling unstructured grid data in computational physics: A review. Inf. Fusion Sibo Cheng, Marc Bocquet, Weiping Ding, Tobias Sebastian Finn, Rui Fu, Jinlong Fu, Yike Guo, Eleda Johnson, Siyi Li, Che Liu, Eric Newton Moro, Jie Pan, Matthew D. Piggott, César Quilodrán Casas, Prakhar Sharma, Kun Wang, Dunhui Xiao, Xiao Xue, Yong Zeng, Mingrui Zhang, Hao Zhou, Kewei Zhu, Rossella Arcucci
2025	J	`jnl`	Machine learning for modelling unstructured grid data in computational physics: a review. CoRR Sibo Cheng, Marc Bocquet, Weiping Ding, Tobias Sebastian Finn, Rui Fu, Jinlong Fu, Yike Guo, Eleda Johnson, Siyi Li, Che Liu, Eric Newton Moro, Jie Pan, Matthew D. Piggott, César Quilodrán Casas, Prakhar Sharma, Kun Wang, Dunhui Xiao, Xiao Xue, Yong Zeng, Mingrui Zhang, Hao Zhou, Kewei Zhu, Rossella Arcucci
2024	—	`conf`	Neural Network as Transformation Function in Data Assimilation. ICCS (5) Kun Wang, Matthew D. Piggott, Yanghua Wang, Rossella Arcucci
2024	A*	`conf`	Towards Universal Mesh Movement Networks. NeurIPS Mingrui Zhang, Chunyang Wang, Stephan C. Kramer, Joseph G. Wallwork, Siyi Li, Jiancheng Liu, Xiang Chen, Matthew D. Piggott
2024	J	`jnl`	Towards Universal Mesh Movement Networks. CoRR Mingrui Zhang, Chunyang Wang, Stephan Kramer, Joseph G. Wallwork, Siyi Li, Jiancheng Liu, Xiang Chen, Matthew D. Piggott
2023	J	`jnl`	Accelerated wind farm yaw and layout optimisation with multi-fidelity deep transfer learning wake models. CoRR Sokratis Anagnostopoulos, Jens Bauer, Mariana C. A. Clare, Matthew D. Piggott
2023	J	`jnl`	An unsupervised learning approach for predicting wind farm power and downstream wakes using weather patterns. CoRR Mariana C. A. Clare, Simon C. Warder, Robert Neal, B. Bhaskaran, Matthew D. Piggott
2023	J	`jnl`	Learning to Optimise Wind Farms with Graph Transformers. CoRR Siyi Li, Arnaud Robert, A. Aldo Faisal, Matthew D. Piggott
2022	J	`jnl`	Bayesian neural networks for the probabilistic forecasting of wind direction and speed using ocean data. CoRR Mariana C. A. Clare, Matthew D. Piggott
2022	J	`jnl`	Calibration, inversion and sensitivity analysis for hydro-morphodynamic models through the application of adjoint methods. Comput. Geosci. Mariana C. A. Clare, Stephan C. Kramer, Colin J. Cotter, Matthew D. Piggott
2022	J	`jnl`	E2N: Error Estimation Networks for Goal-Oriented Mesh Adaptation. CoRR Joseph G. Wallwork, Jingyi Lu, Mingrui Zhang, Matthew D. Piggott
2022	J	`jnl`	End-to-end Wind Turbine Wake Modelling with Deep Graph Representation Learning. CoRR Siyi Li, Mingrui Zhang, Matthew D. Piggott
2022	J	`jnl`	Goal-Oriented Error Estimation and Mesh Adaptation for Tracer Transport Modelling. Comput. Aided Des. Joseph G. Wallwork, Nicolas Barral, David A. Ham, Matthew D. Piggott
2022	J	`jnl`	Investigating microscale patchiness of motile microbes under turbulence in a simulated convective mixed layer. PLoS Comput. Biol. Alexander Kier Christensen, Matthew D. Piggott, Erik van Sebille, Maarten van Reeuwijk, Samraat Pawar
2022	A*	`conf`	Learning to Estimate and Refine Fluid Motion with Physical Dynamics. ICML Mingrui Zhang, Jianhong Wang, James B. Tlhomole, Matthew D. Piggott
2022	J	`jnl`	Learning to Estimate and Refine Fluid Motion with Physical Dynamics. CoRR Mingrui Zhang, Jianhong Wang, James Tlhomole, Matthew D. Piggott
2022	A*	`conf`	M2N: Mesh Movement Networks for PDE Solvers. NeurIPS Wenbin Song, Mingrui Zhang, Joseph G. Wallwork, Junpeng Gao, Zheng Tian, Fanglei Sun, Matthew D. Piggott, Junqing Chen, Zuoqiang Shi, Xiang Chen, Jun Wang
2022	J	`jnl`	M2N: Mesh Movement Networks for PDE Solvers. CoRR Wenbin Song, Mingrui Zhang, Joseph G. Wallwork, Junpeng Gao, Zheng Tian, Fanglei Sun, Matthew D. Piggott, Junqing Chen, Zuoqiang Shi, Xiang Chen, Jun Wang
2022	J	`jnl`	Parallel Metric-Based Mesh Adaptation in PETSc using ParMmg. CoRR Joseph G. Wallwork, Matthew G. Knepley, Nicolas Barral, Matthew D. Piggott
2021	J	`jnl`	Hydro-morphodynamics 2D modelling using a discontinuous Galerkin discretisation. Comput. Geosci. Mariana C. A. Clare, James R. Percival, Athanasios Angeloudis, Colin J. Cotter, Matthew D. Piggott
2020	—	`conf`	Unsupervised Learning of Particle Image Velocimetry. ISC Workshops Mingrui Zhang, Matthew D. Piggott
2020	J	`jnl`	Unsupervised Learning of Particle Image Velocimetry. CoRR Mingrui Zhang, Matthew D. Piggott
2016	J	`jnl`	Adaptive Haar wavelets for the angular discretisation of spectral wave models. J. Comput. Phys. Alexandros Adam, Andrew G. Buchan, Matthew D. Piggott, Christopher C. Pain, Jon Hill, Mark A. Goffin
2016	J	`jnl`	Anisotropic mesh adaptation in Firedrake with PETSc DMPlex. CoRR Nicolas Barral, Matthew G. Knepley, Michael Lange, Matthew D. Piggott, Gerard J. Gorman
2016	J	`jnl`	On the validity of tidal turbine array configurations obtained from steady-state adjoint optimisation. CoRR Christian T. Jacobs, Matthew D. Piggott, Stephan C. Kramer, Simon W. Funke
2015	J	`jnl`	A correction to the enhanced bottom drag parameterisation of tidal turbines. CoRR Stephan C. Kramer, Matthew D. Piggott
2015	J	`jnl`	Design optimisation and resource assessment for tidal-stream renewable energy farms using a new continuous turbine approach. CoRR Simon W. Funke, Stephan C. Kramer, Matthew D. Piggott
2015	—	`conf`	Integrating Research Data Management into Geographical Information Systems. SDA@TPDL Christian T. Jacobs, Alexandros Avdis, Simon L. Mouradian, Matthew D. Piggott
2015	J	`jnl`	Integrating Research Data Management into Geographical Information Systems. CoRR Christian T. Jacobs, Alexandros Avdis, Simon L. Mouradian, Matthew D. Piggott
2015	J	`jnl`	Shoreline and Bathymetry Approximation in Mesh Generation for Tidal Renewable Simulations. CoRR Alexandros Avdis, Christian T. Jacobs, Jon Hill, Matthew D. Piggott, Gerard J. Gorman
2014	J	`jnl`	Hybrid global-local optimisation algorithms for the layout design of tidal turbine arrays. CoRR George L. Barnett, Simon W. Funke, Matthew D. Piggott
2014	J	`jnl`	PyRDM: A Python-based library for automating the management and online publication of scientific software and data. CoRR Christian T. Jacobs, Alexandros Avdis, Gerard J. Gorman, Matthew D. Piggott