Matthew D. Piggott

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 22

Top Topics

Unsupervised Learning

Error Estimation

Top Venues

Comput. Geosci.

Comput. Aided Des.

J. Comput. Phys.

Publications

Mingrui Zhang, Chunyang Wang, Stephan Kramer, Joseph G. Wallwork, Siyi Li, Jiancheng Liu, Xiang Chen, Matthew D. Piggott
Towards Universal Mesh Movement Networks. CoRR (2024)
Kun Wang, Matthew D. Piggott, Yanghua Wang, Rossella Arcucci
Neural Network as Transformation Function in Data Assimilation. ICCS (5) (2024)
Siyi Li, Arnaud Robert, A. Aldo Faisal, Matthew D. Piggott
Learning to Optimise Wind Farms with Graph Transformers. CoRR (2023)
Sokratis Anagnostopoulos, Jens Bauer, Mariana C. A. Clare, Matthew D. Piggott
Accelerated wind farm yaw and layout optimisation with multi-fidelity deep transfer learning wake models. CoRR (2023)
Mariana C. A. Clare, Simon C. Warder, Robert Neal, B. Bhaskaran, Matthew D. Piggott
An unsupervised learning approach for predicting wind farm power and downstream wakes using weather patterns. CoRR (2023)
Mariana C. A. Clare, Matthew D. Piggott
Bayesian neural networks for the probabilistic forecasting of wind direction and speed using ocean data. CoRR (2022)
Alexander Kier Christensen, Matthew D. Piggott, Erik van Sebille, Maarten van Reeuwijk, Samraat Pawar
Investigating microscale patchiness of motile microbes under turbulence in a simulated convective mixed layer. PLoS Comput. Biol. 18 (7) (2022)
Joseph G. Wallwork, Jingyi Lu, Mingrui Zhang, Matthew D. Piggott
E2N: Error Estimation Networks for Goal-Oriented Mesh Adaptation. CoRR (2022)
Joseph G. Wallwork, Matthew G. Knepley, Nicolas Barral, Matthew D. Piggott
Parallel Metric-Based Mesh Adaptation in PETSc using ParMmg. CoRR (2022)
Joseph G. Wallwork, Nicolas Barral, David A. Ham, Matthew D. Piggott
Goal-Oriented Error Estimation and Mesh Adaptation for Tracer Transport Modelling. Comput. Aided Des. 145 (2022)
Wenbin Song, Mingrui Zhang, Joseph G. Wallwork, Junpeng Gao, Zheng Tian, Fanglei Sun, Matthew D. Piggott, Junqing Chen, Zuoqiang Shi, Xiang Chen, Jun Wang
M2N: Mesh Movement Networks for PDE Solvers. CoRR (2022)
Wenbin Song, Mingrui Zhang, Joseph G. Wallwork, Junpeng Gao, Zheng Tian, Fanglei Sun, Matthew D. Piggott, Junqing Chen, Zuoqiang Shi, Xiang Chen, Jun Wang
M2N: Mesh Movement Networks for PDE Solvers. NeurIPS (2022)
Mingrui Zhang, Jianhong Wang, James B. Tlhomole, Matthew D. Piggott
Learning to Estimate and Refine Fluid Motion with Physical Dynamics. ICML (2022)
Mingrui Zhang, Jianhong Wang, James Tlhomole, Matthew D. Piggott
Learning to Estimate and Refine Fluid Motion with Physical Dynamics. CoRR (2022)
Siyi Li, Mingrui Zhang, Matthew D. Piggott
End-to-end Wind Turbine Wake Modelling with Deep Graph Representation Learning. CoRR (2022)
Mariana C. A. Clare, Stephan C. Kramer, Colin J. Cotter, Matthew D. Piggott
Calibration, inversion and sensitivity analysis for hydro-morphodynamic models through the application of adjoint methods. Comput. Geosci. 163 (2022)
Mariana C. A. Clare, James R. Percival, Athanasios Angeloudis, Colin J. Cotter, Matthew D. Piggott
Hydro-morphodynamics 2D modelling using a discontinuous Galerkin discretisation. Comput. Geosci. 146 (2021)
Mingrui Zhang, Matthew D. Piggott
Unsupervised Learning of Particle Image Velocimetry. CoRR (2020)
Mingrui Zhang, Matthew D. Piggott
Unsupervised Learning of Particle Image Velocimetry. ISC Workshops (2020)
Christian T. Jacobs, Matthew D. Piggott, Stephan C. Kramer, Simon W. Funke
On the validity of tidal turbine array configurations obtained from steady-state adjoint optimisation. CoRR (2016)
Alexandros Adam, Andrew G. Buchan, Matthew D. Piggott, Christopher C. Pain, Jon Hill, Mark A. Goffin
Adaptive Haar wavelets for the angular discretisation of spectral wave models. J. Comput. Phys. 305 (2016)
Nicolas Barral, Matthew G. Knepley, Michael Lange, Matthew D. Piggott, Gerard J. Gorman
Anisotropic mesh adaptation in Firedrake with PETSc DMPlex. CoRR (2016)
Stephan C. Kramer, Matthew D. Piggott
A correction to the enhanced bottom drag parameterisation of tidal turbines. CoRR (2015)
Christian T. Jacobs, Alexandros Avdis, Simon L. Mouradian, Matthew D. Piggott
Integrating Research Data Management into Geographical Information Systems. CoRR (2015)
Alexandros Avdis, Christian T. Jacobs, Jon Hill, Matthew D. Piggott, Gerard J. Gorman
Shoreline and Bathymetry Approximation in Mesh Generation for Tidal Renewable Simulations. CoRR (2015)
Christian T. Jacobs, Alexandros Avdis, Simon L. Mouradian, Matthew D. Piggott
Integrating Research Data Management into Geographical Information Systems. SDA@TPDL (2015)
Simon W. Funke, Stephan C. Kramer, Matthew D. Piggott
Design optimisation and resource assessment for tidal-stream renewable energy farms using a new continuous turbine approach. CoRR (2015)
Christian T. Jacobs, Alexandros Avdis, Gerard J. Gorman, Matthew D. Piggott
PyRDM: A Python-based library for automating the management and online publication of scientific software and data. CoRR (2014)
George L. Barnett, Simon W. Funke, Matthew D. Piggott
Hybrid global-local optimisation algorithms for the layout design of tidal turbine arrays. CoRR (2014)