This shows you the differences between two versions of the page.

Both sides previous revision Previous revision Next revision | Previous revision | ||

research:start [2019/04/08 19:48] jannis [List of research ideas] |
research:start [2020/05/14 16:12] (current) jannis [Simulation codes] |
||
---|---|---|---|

Line 1: | Line 1: | ||

===== Research ===== | ===== Research ===== | ||

- | ==== Computational physics ==== | + | ==== Experience and interests ==== |

+ | | ||

+ | My general research interests are scientific computing, computational (plasma) physics and more recently also machine learning / data science. | ||

I have developed both particle-in-cell and plasma fluid codes for the simulation | I have developed both particle-in-cell and plasma fluid codes for the simulation | ||

- | of electric discharges (non-thermal plasmas), see [[projects:. I'm also | + | of electric discharges (non-thermal plasmas). I'm also active in the development |

- | active in the development of [[http:// | + | of [[http:// |

- | (magneto)hydrodynamics simulations. From a computational point of view, my work | + | simulations. My work has focused on topics such as adaptive mesh refinement |

- | has focused on topics such as: | + | (AMR) and fast elliptic solvers (e.g., multigrid). I like to study systems that |

+ | have some intrinsic complexity, not coming from boundary conditions or input | ||

+ | data. | ||

- | * Adaptive mesh refinement (AMR) | + | Since 2018, I have been working on machine learning methods applied to space weather applications,(AIDA and ESCAPE, see below). Current research focuses on forecasting time-series data, recognizing magnetic reconnection,of unsupervised methods for e.g. dimensionality reduction and clustering. |

- | * Parallelization (using MPI and/or OpenMP) | + | |

- | * Fast elliptic solvers (multigrid) | + | |

- | * Adaptive control of particle weights | + | |

- | ==== Machine learning ==== | + | === Research projects === |

- | Since the end of 2018 I'm involved in two projects on machine learning for space | + | * [[https://www.cwi.nl/-grant-for-plasma-for-plants-project|Plasma for Plants (TTW)]] [[https://.nwo.nl/onderzoek-en-resultaten/|NWO page]] |

- | physics applications,[[http://www.aida-space.eu/|AIDA]] and | + | [[https://www.nwo.nl/en/research-and-results/research-projects/i/64/|Let CO2 spark! (TTW)]] |

- | [[https://cordis.europa.eu/project/rcn/219246/factsheet/en|ESCAPE]], together | + | [[https://www.cwi.nl/news/2018/|Plasma assisted combustion (TTW)]] [[https://.nwo.nl/ |

- | with [[https://homepages.cwi.nl/~camporea/|Enrico Camporeale]]. | + | * [[http:// |

+ | * [[https:// | ||

- | ==== List of research ideas ==== | + | ==== Simulation codes ==== |

- | This is an incomplete list of topics that I'd like to investigate. If you are | + | These are some of the simulation codes that I have developed or worked on: |

- | interested in collaborating or doing a student project, feel free to get in | + | |

- | touch (see [[contact:start]]). | + | |

+ | ^Link ^Description ^ | ||

+ | |[[https:// | ||

+ | |[[https:// | ||

+ | |[[https:// | ||

+ | |[[https:// | ||

+ | |[[https:// | ||

+ | |[[https:// | ||

+ | | [[https:// | ||

+ | | [[https:// | ||

+ | |||

+ | And these are some of the (simulation) utilities that I have developed: | ||

+ | |||

+ | * [[https:// | ||

+ | * [[https:// | ||

+ | * [[https:// | ||

+ | * [[https:// | ||

+ | ==== Ideas for (small) projects ==== | ||

+ | |||

+ | A (very!) incomplete list of research ideas, some of which are suitable for student projects: | ||

+ | |||

+ | * Using machine learning to create a heuristic simple model from a more complex one (for example going from a particle-in-cell to a fluid model) | ||

+ | * Solving plasma fluid equations implicitly. In particular, what is a good preconditioner? | ||

+ | * Improving the convergence rate of Monte Carlo particle swarm simulations in low electric fields | ||

+ | * Coupling explicit and implicit time integration for plasma fluid models | ||

* Adding support for internal boundary conditions in a geometric multigrid solver. | * Adding support for internal boundary conditions in a geometric multigrid solver. | ||

- | * Finding the fastest possible direct sparse method for solving the coarse grid equations in a geometric multigrid method. | + | * Exploring efficient methods for solving the coarse grid equations in a geometric multigrid method. |

* Enabling efficient visualization of octree AMR data in Visit or Paraview. | * Enabling efficient visualization of octree AMR data in Visit or Paraview. | ||

* Coupling stiff chemistry to simulations with AMR (adaptive mesh refinement), | * Coupling stiff chemistry to simulations with AMR (adaptive mesh refinement), | ||

* Performing large scale 3D simulations of [[https:// | * Performing large scale 3D simulations of [[https:// | ||

* Coupling particle and fluid models in energy space, for the study of [[https:// | * Coupling particle and fluid models in energy space, for the study of [[https:// | ||

- | * More robustly solving plasma fluid equations in discharge models using explicit time integration. | ||

* Investigating the so-called " | * Investigating the so-called " | ||

- | * Investigating what happens when discharges are 'the time scale for electron attachment. | + | * Extending the discharge model comparison of this [[http://dx.doi.org/10.1088/ |

- | * Making a tool to estimate discharge inception probability and jitter from an electrostatic potential (//currently in progress with Shahriar Mirpour and Andy Martinez//). | + | |

* Compare particle-in-cell and plasma fluid models for 2D and 3D simulations of streamer discharges. | * Compare particle-in-cell and plasma fluid models for 2D and 3D simulations of streamer discharges. | ||

- | | + | * Using DSMC (or similar particle-based simulations) to evaluate (and improve?) the behavior of continuum hydrodynamics schemes at low pressures/densities |

- | ==== Publications ==== | + | * Exploring methods to make conventional hydrodynamics schemes more robust (i.e., avoiding negative pressures) |

- | | + | |

- | [[publications: | + | |

- | | + | |

- | ==== PhD ==== | + | |

- | | + | |

- | I finished my [[publications: | + | |

- | the [[http://((This is our official (CWI-hosted) | + | |

- | [[https://)) group at | + | |

- | CWI, under the supervision of [[http:// | + | |

- | | + | |

- | ==== General interests ==== | + | |

- | | + | |

- | After finishing secondary school in 2005, there were three topics that I wanted | + | |

- | to study: | + | |

- | | + | |

- | * How a (human) brain works | + | |

- | * How a computer works | + | |

- | * How nature works | + | |

- | | + | |

- | Thus far, I have mostly been busy with the latter two questions, with my primary | + | |

- | research interests being computational science and computational physics. I like | + | |

- | to study systems that have some intrinsic complexity, not coming from boundary | + | |

- | conditions or input data. | + | |