| Modelling social identification and helping in evacuation simulation I von Sivers, A Templeton, F Künzner, G Köster, J Drury, A Philippides, ... Safety science 89, 288-300, 2016 | 99 | 2016 |
| Random differential equations in scientific computing T Neckel, F Rupp Versita, 2013 | 95 | 2013 |
| The PDE framework Peano applied to fluid dynamics: an efficient implementation of a parallel multiscale fluid dynamics solver on octree-like adaptive Cartesian grids HJ Bungartz, M Mehl, T Neckel, T Weinzierl Computational Mechanics 46, 103-114, 2010 | 85 | 2010 |
| Numerical simulation of particle transport in a drift ratchet M Brenk, HJ Bungartz, M Mehl, IL Muntean, T Neckel, T Weinzierl SIAM Journal on Scientific Computing 30 (6), 2777-2798, 2008 | 46 | 2008 |
| Collocation and inversion for a reentry optimal control problem T Neckel, C Talbot, N Petit Proc. of the 5th Intern. Conference on Launcher Technology, 2003 | 44 | 2003 |
| Fluid-structure interaction on cartesian grids: Flow simulation and coupling environment M Brenk, HJ Bungartz, M Mehl, T Neckel Fluid-Structure Interaction: Modelling, Simulation, Optimisation, 233-269, 2006 | 42 | 2006 |
| Navier–Stokes and Lattice–Boltzmann on octree‐like grids in the Peano framework M Mehl, T Neckel, P Neumann International Journal for Numerical Methods in Fluids 65 (1‐3), 67-86, 2011 | 40 | 2011 |
| Partitioned simulation of fluid-structure interaction on cartesian grids HJ Bungartz, J Benk, B Gatzhammer, M Mehl, T Neckel Fluid Structure Interaction II: Modelling, Simulation, Optimization, 255-284, 2010 | 37 | 2010 |
| A dynamic mesh refinement technique for Lattice Boltzmann simulations on octree-like grids P Neumann, T Neckel Computational Mechanics 51, 237-253, 2013 | 35 | 2013 |
| The PDE framework Peano: an environment for efficient flow simulations T Neckel Technische Universität München, 2009 | 32 | 2009 |
| An Eulerian approach for partitioned fluid–structure simulations on Cartesian grids M Mehl, M Brenk, HJ Bungartz, K Daubner, IL Muntean, T Neckel Computational Mechanics 43, 115-124, 2008 | 32 | 2008 |
| A coupling environment for partitioned multiphysics simulations applied to fluid-structure interaction scenarios B Gatzhammer, M Mehl, T Neckel Procedia Computer Science 1 (1), 681-689, 2010 | 28 | 2010 |
| Block-structured grids for Eulerian gyrokinetic simulations D Jarema, HJ Bungartz, T Görler, F Jenko, T Neckel, D Told Computer Physics Communications 198, 105-117, 2016 | 25 | 2016 |
| Bits and Bugs: A Scientific and Historical Review on Software Failures in Computational Science T Huckle, T Neckel Society for Industrial and Applied Mathematics, 2019 | 21 | 2019 |
| Sensitivity-driven adaptive sparse stochastic approximations in plasma microinstability analysis IG Farcaş, T Görler, HJ Bungartz, F Jenko, T Neckel Journal of Computational Physics 410, 109394, 2020 | 20 | 2020 |
| Block-structured grids in full velocity space for Eulerian gyrokinetic simulations D Jarema, HJ Bungartz, T Görler, F Jenko, T Neckel, D Told Computer Physics Communications 215, 49-62, 2017 | 17 | 2017 |
| Concepts for an Efficient Implementation of Domain Decomposition Approaches for Fluid-Structure Interactions M Mehl, T Neckel, T Weinzierl Domain Decomposition Methods in Science and Engineering XVII, 591-598, 2008 | 17 | 2008 |
| Data-driven low-fidelity models for multi-fidelity Monte Carlo sampling in plasma micro-turbulence analysis J Konrad, IG Farcaş, B Peherstorfer, A Di Siena, F Jenko, T Neckel, ... Journal of Computational Physics 451, 110898, 2022 | 16 | 2022 |
| Invasive compute balancing for applications with shared and hybrid parallelization M Schreiber, C Riesinger, T Neckel, HJ Bungartz, A Breuer International Journal of Parallel Programming 43, 1004-1027, 2015 | 16 | 2015 |
| A coupled approach for fluid dynamic problems using the PDE framework peano P Neumann, HJ Bungartz, M Mehl, T Neckel, T Weinzierl Communications in Computational Physics 12 (1), 65-84, 2012 | 16 | 2012 |
