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ORCIDMariana C. A. Clare
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Journal Articles
- 2022
[j2]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: 105104 (2022)- 2021
- [j1]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: 104658 (2021)
Informal and Other Publications
- 2023
- [i5]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 abs/2302.05886 (2023) - [i4]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 abs/2303.16274 (2023) - [i3]William Yik, Maike Sonnewald, Mariana C. A. Clare, Redouane Lguensat:
Southern Ocean Dynamics Under Climate Change: New Knowledge Through Physics-Guided Machine Learning. CoRR abs/2310.13916 (2023) - 2022
- [i2]Mariana C. A. Clare, Maike Sonnewald, Redouane Lguensat, Julie Deshayes, Venkatramani Balaji:
Explainable Artificial Intelligence for Bayesian Neural Networks: Towards trustworthy predictions of ocean dynamics. CoRR abs/2205.00202 (2022) - [i1]Mariana C. A. Clare, Matthew D. Piggott:
Bayesian neural networks for the probabilistic forecasting of wind direction and speed using ocean data. CoRR abs/2206.08953 (2022)
Coauthor Index
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