Search Results - "Funke, Simon W"

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  1. 1

    Apparent diffusion coefficient estimates based on 24 hours tracer movement support glymphatic transport in human cerebral cortex by Valnes, Lars Magnus, Mitusch, Sebastian K., Ringstad, Geir, Eide, Per Kristian, Funke, Simon W., Mardal, Kent-Andre

    Published in Scientific reports (08-06-2020)
    “…The recently proposed glymphatic system suggests that bulk flow is important for clearing waste from the brain, and as such may underlie the development of…”
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    Journal Article
  2. 2

    Hybrid FEM-NN models: Combining artificial neural networks with the finite element method by Mitusch, Sebastian K., Funke, Simon W., Kuchta, Miroslav

    Published in Journal of computational physics (01-12-2021)
    “…•An approach for training neural networks combined with partial differential equations.•Combines a finite element framework with a machine learning…”
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    Journal Article
  3. 3

    Designing large arrays of tidal turbines: A synthesis and review by Vennell, Ross, Funke, Simon W., Draper, Scott, Stevens, Craig, Divett, Tim

    Published in Renewable & sustainable energy reviews (01-01-2015)
    “…Much of the global tidal current energy resource lies in the accelerated flows along narrow channels. These channels have the potential to produce 10–1000s of…”
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  4. 4

    A multimesh finite element method for the Navier–Stokes equations based on projection methods by Dokken, Jørgen S., Johansson, August, Massing, André, Funke, Simon W.

    “…The multimesh finite element method is a technique for solving partial differential equations on multiple non-matching meshes by enforcing interface conditions…”
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    Journal Article
  5. 5
  6. 6

    A scalable solver for a stochastic, hybrid cellular automaton model of personalized breast cancer therapy by Lai, Xiaoran, Taskén, Håkon A., Mo, Torgeir, Funke, Simon W., Frigessi, Arnoldo, Rognes, Marie E., Köhn‐Luque, Alvaro

    “…Mathematical modeling and simulation is a promising approach to personalized cancer medicine. Yet, the complexity, heterogeneity and multi‐scale nature of…”
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    Journal Article
  7. 7

    Application of the adjoint approach to optimise the initial conditions of a turbidity current with the AdjointTurbidity 1.0 model by Parkinson, Samuel D, Funke, Simon W, Hill, Jon, Piggott, Matthew D, Allison, Peter A

    Published in Geoscientific Model Development (07-03-2017)
    “…Turbidity currents are one of the main drivers of sediment transport from the continental shelf to the deep ocean. The resulting sediment deposits can reach…”
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  8. 8

    Hybrid genetic deflated Newton method for global optimisation by Noack, Marcus M., Funke, Simon W.

    “…Optimisation is a basic principle of nature and has a vast variety of applications in research and industry. There is a plurality of different optimisation…”
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  9. 9
  10. 10

    Hybrid FEM-NN models: Combining artificial neural networks with the finite element method by Mitusch, Sebastian K, Funke, Simon W, Kuchta, Miroslav

    Published 03-09-2021
    “…Journal of Computational Physics 446 (2021) 110651 We present a methodology combining neural networks with physical principle constraints in the form of…”
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    Journal Article
  11. 11

    Automatic shape derivatives for transient PDEs in FEniCS and Firedrake by Dokken, Jørgen S, Mitusch, Sebastian K, Funke, Simon W

    Published 27-01-2020
    “…In industry, shape optimization problems are of utter importance when designing structures such as aircraft, automobiles and turbines. For many of these…”
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  12. 12

    A multimesh finite element method for the Navier-Stokes equations based on projection methods by Dokken, Jørgen S, Johansson, August, Massing, André, Funke, Simon W

    Published 13-12-2019
    “…The multimesh finite element method is a technique for solving partial differential equations on multiple non-matching meshes by enforcing interface conditions…”
    Get full text
    Journal Article
  13. 13

    A scalable solver for a stochastic, hybrid cellular automaton model of personalized breast cancer therapy by Lai, Xiaoran, Taskén, Håkon A, Mo, Torgeir, Funke, Simon W, Frigessi, Arnoldo, Rognes, Marie E, Köhn-Luque, Alvaro

    Published 02-05-2021
    “…Mathematical modeling and simulation is a promising approach to personalized cancer medicine. Yet, the complexity, heterogeneity and multi-scale nature of…”
    Get full text
    Journal Article
  14. 14

    Shape Optimization using the Finite Element Method on Multiple Meshes by Dokken, Jorgen S, Funke, Simon W, Johansson, August, Schmidt, Stephan

    Published 26-06-2018
    “…An important step in shape optimization with partial differential equation constraints is to adapt the geometry during each optimization iteration. Common…”
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  15. 15

    An iteration count estimate for a mesh-dependent steepest descent method based on finite elements and Riesz inner product representation by Schwedes, Tobias, Funke, Simon W, Ham, David A

    Published 26-06-2016
    “…Existing implementations of gradient-based optimisation methods typically assume that the problem is posed in Euclidean space. When solving optimality problems…”
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  16. 16

    High-level python abstractions for optimal checkpointing in inversion problems by Kukreja, Navjot, Hückelheim, Jan, Lange, Michael, Louboutin, Mathias, Walther, Andrea, Funke, Simon W, Gorman, Gerard

    Published 12-01-2018
    “…Inversion and PDE-constrained optimization problems often rely on solving the adjoint problem to calculate the gradient of the objec- tive function. This…”
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  17. 17

    Can diffusion alone explain brain-wide distribution of a CSF tracer within 24 hours? by Valnes, Lars Magnus, Mitusch, Sebastian K, Ringstad, Geir, Eide, Per Kristian, Funke, Simon W, Mardal, Kent-Andre

    Published 12-11-2018
    “…The recently proposed glymphatic system suggests that bulk flow is important for clearing waste from the brain, and as such may underlie the development of…”
    Get full text
    Journal Article
  18. 18

    Automated adjoints of coupled PDE-ODE systems by Farrell, Patrick E, Hake, Johan E, Funke, Simon W, Rognes, Marie E

    Published 25-08-2017
    “…Mathematical models that couple partial differential equations (PDEs) and spatially distributed ordinary differential equations (ODEs) arise in biology,…”
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  19. 19

    Design optimisation and resource assessment for tidal-stream renewable energy farms using a new continuous turbine approach by Funke, Simon W, Kramer, Stephan C, Piggott, Matthew D

    Published 21-07-2015
    “…Renewable Energy, 2016 This paper presents a new approach for optimising the design of tidal stream turbine farms. In this approach, the turbine farm is…”
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  20. 20

    Deflation techniques for finding distinct solutions of nonlinear partial differential equations by Farrell, Patrick E, Birkisson, Ásgeir, Funke, Simon W

    Published 21-10-2014
    “…Nonlinear systems of partial differential equations (PDEs) may permit several distinct solutions. The typical current approach to finding distinct solutions is…”
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