Search Results - "Funke, Simon W"
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Apparent diffusion coefficient estimates based on 24 hours tracer movement support glymphatic transport in human cerebral cortex
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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Hybrid FEM-NN models: Combining artificial neural networks with the finite element method
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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3
Designing large arrays of tidal turbines: A synthesis and review
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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A multimesh finite element method for the Navier–Stokes equations based on projection methods
Published in Computer methods in applied mechanics and engineering (15-08-2020)“…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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Toward Personalized Computer Simulation of Breast Cancer Treatment: A Multiscale Pharmacokinetic and Pharmacodynamic Model Informed by Multitype Patient Data
Published in Cancer research (Chicago, Ill.) (15-08-2019)“…The usefulness of mechanistic models to disentangle complex multiscale cancer processes, such as treatment response, has been widely acknowledged. However, a…”
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A scalable solver for a stochastic, hybrid cellular automaton model of personalized breast cancer therapy
Published in International journal for numerical methods in biomedical engineering (01-01-2022)“…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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7
Application of the adjoint approach to optimise the initial conditions of a turbidity current with the AdjointTurbidity 1.0 model
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
Hybrid genetic deflated Newton method for global optimisation
Published in Journal of computational and applied mathematics (01-12-2017)“…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
cbcbeat: an adjoint-enabled framework for computational cardiac electrophysiology
Published in Journal of open source software (31-05-2017)Get full text
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10
Hybrid FEM-NN models: Combining artificial neural networks with the finite element method
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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11
Automatic shape derivatives for transient PDEs in FEniCS and Firedrake
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
A multimesh finite element method for the Navier-Stokes equations based on projection methods
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
A scalable solver for a stochastic, hybrid cellular automaton model of personalized breast cancer therapy
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…”
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14
Shape Optimization using the Finite Element Method on Multiple Meshes
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
An iteration count estimate for a mesh-dependent steepest descent method based on finite elements and Riesz inner product representation
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
High-level python abstractions for optimal checkpointing in inversion problems
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
Can diffusion alone explain brain-wide distribution of a CSF tracer within 24 hours?
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…”
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18
Automated adjoints of coupled PDE-ODE systems
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
Design optimisation and resource assessment for tidal-stream renewable energy farms using a new continuous turbine approach
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
Deflation techniques for finding distinct solutions of nonlinear partial differential equations
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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