Automated derivation of the adjoint of high-level transient finite element programs PE Farrell, DA Ham, SW Funke, ME Rognes SIAM Journal on Scientific Computing 35 (4), C369-C393, 2013 | 359 | 2013 |
Tidal turbine array optimisation using the adjoint approach SW Funke, PE Farrell, MD Piggott Renewable Energy 63, 658-673, 2014 | 246 | 2014 |
Designing large arrays of tidal turbines: A synthesis and review R Vennell, SW Funke, S Draper, C Stevens, T Divett Renewable and Sustainable Energy Reviews 41, 454-472, 2015 | 196 | 2015 |
dolfin-adjoint 2018.1: automated adjoints for FEniCS and Firedrake S Mitusch, S Funke, J Dokken Journal of Open Source Software 4 (38), 1292, 2019 | 167 | 2019 |
Deflation techniques for finding distinct solutions of nonlinear partial differential equations PE Farrell, A Birkisson, SW Funke SIAM Journal on Scientific Computing 37 (4), A2026-A2045, 2015 | 157 | 2015 |
Design optimisation and resource assessment for tidal-stream renewable energy farms using a new continuous turbine approach SW Funke, SC Kramer, MD Piggott Renewable energy 99, 1046-1061, 2016 | 86 | 2016 |
Integration of cost modelling within the micro-siting design optimisation of tidal turbine arrays DM Culley, SW Funke, SC Kramer, MD Piggott Renewable Energy 85, 215-227, 2016 | 82 | 2016 |
A framework for automated PDE-constrained optimisation SW Funke, PE Farrell arXiv preprint arXiv:1302.3894, 2013 | 81 | 2013 |
Hybrid FEM-NN models: Combining artificial neural networks with the finite element method SK Mitusch, SW Funke, M Kuchta Journal of Computational Physics 446, 110651, 2021 | 80 | 2021 |
Apparent diffusion coefficient estimates based on 24 hours tracer movement support glymphatic transport in human cerebral cortex LM Valnes, SK Mitusch, G Ringstad, PK Eide, SW Funke, KA Mardal Scientific reports 10 (1), 9176, 2020 | 66 | 2020 |
Variational data assimilation for transient blood flow simulations: Cerebral aneurysms as an illustrative example SW Funke, M Nordaas, Ø Evju, MS Alnæs, KA Mardal International journal for numerical methods in biomedical engineering 35 (1 …, 2019 | 52 | 2019 |
Mesh dependence in PDE-constrained optimisation T Schwedes, DA Ham, SW Funke, MD Piggott, T Schwedes, DA Ham, ... Mesh Dependence in PDE-Constrained Optimisation: An Application in Tidal …, 2017 | 40 | 2017 |
A wetting and drying algorithm with a combined pressure/free-surface formulation for non-hydrostatic models SW Funke, CC Pain, SC Kramer, MD Piggott Advances in water resources 34 (11), 1483-1495, 2011 | 38 | 2011 |
Hybrid genetic deflated newton method for global optimisation MM Noack, SW Funke Journal of Computational and Applied Mathematics 325, 97-112, 2017 | 29 | 2017 |
Toward personalized computer simulation of breast cancer treatment: A multiscale pharmacokinetic and pharmacodynamic model informed by multitype patient data X Lai, OM Geier, T Fleischer, Ø Garred, E Borgen, SW Funke, S Kumar, ... Cancer research 79 (16), 4293-4304, 2019 | 27 | 2019 |
Firedrake user manual DA Ham, PHJ Kelly, L Mitchell, CJ Cotter, RC Kirby, K Sagiyama, ... Imperial College London and University of Oxford and Baylor University and …, 2023 | 26 | 2023 |
The trade-off between tidal-turbine array yield and impact on flow: A multi-objective optimisation problem RJ Du Feu, SW Funke, SC Kramer, DM Culley, J Hill, BS Halpern, ... Renewable Energy 114, 1247-1257, 2017 | 25 | 2017 |
The trade-off between tidal-turbine array yield and environmental impact: A habitat suitability modelling approach RJ Du Feu, SW Funke, SC Kramer, J Hill, MD Piggott Renewable Energy 143, 390-403, 2019 | 24 | 2019 |
In vivo estimation of elastic heterogeneity in an infarcted human heart G Balaban, H Finsberg, S Funke, TF Håland, E Hopp, J Sundnes, S Wall, ... Biomechanics and modeling in mechanobiology 17, 1317-1329, 2018 | 23 | 2018 |
Automatic shape derivatives for transient PDEs in FEniCS and Firedrake JS Dokken, SK Mitusch, SW Funke arXiv preprint arXiv:2001.10058, 2020 | 22 | 2020 |