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Jannis Teunissen

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research:start [2019/01/30 13:07] – [Current ideas] jannisresearch:start [2019/12/03 16:22] – external edit 127.0.0.1
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 ===== Research ===== ===== Research =====
  
-==== Current ideas ====+==== Experience and interests ====
  
-This is an incomplete list of topics that I'd like to investigate. If you are +My general research interests are scientific computing, computational (plasma) physics and more recently also machine learning / data science.
-interested in collaborating or doing a student project, feel free to get in +
-touch (see [[contact:start]]).+
  
-  * Adding support for internal boundary conditions in a geometric multigrid solver. +I have developed both particle-in-cell and plasma fluid codes for the simulation 
-  * Finding the fastest possible direct sparse method for solving the coarse grid equations in a geometric multigrid method. +of electric discharges (non-thermal plasmas). I'm also active in the development 
-  * Enabling efficient visualization of octree AMR data in Visit or Paraview. +of [[http://amrvac.org/|MPI-AMRVAC]], a framework for (magneto)hydrodynamics 
-  * Coupling stiff chemistry to simulations with AMR (adaptive mesh refinement), where the chemistry can be evaluated at coarser resolution and perhaps partially implicitly. +simulations. My work has focused on topics such as adaptive mesh refinement 
-  * Performing large scale 3D simulations of [[https://en.wikipedia.org/wiki/Sprite_(lightning)|sprite]] formation +(AMR) and fast elliptic solvers (e.g., multigrid). I like to study systems that 
-  * Coupling particle and fluid models in energy space, for the study of [[https://en.wikipedia.org/wiki/Runaway_electrons|runaway electron]] production in electric discharges. +have some intrinsic complexity, not coming from boundary conditions or input 
-  * More robustly solving plasma fluid equations in discharge models using explicit time integration. +data.
-  * Investigating the so-called "stability field" of streamer discharges through computations, with the goal of predicting how this field depends on the gas. +
-  * Investigating what happens when discharges are 'long' compared to the time scale for electron attachment. +
-  * Making a tool to estimate discharge inception probability and jitter from an electrostatic potential. +
-  * Compare particle-in-cell and plasma fluid models for 2D and 3D simulations of streamer discharges.+
  
-==== Publications ====+Since 2018, I have been working on machine learning methods applied to space weather applications, in collaboration with [[https://ecamporeale.github.io/|Enrico Camporeale]], as I have taken over two EU projects in this direction from Enrico (AIDA and ESCAPE, see below). Current research focuses on forecasting time-series data, recognizing magnetic reconnection, and the use of unsupervised methods for e.g. dimensionality reduction and clustering.
  
-[[publications:start|List of publications]].+=== Research projects ===
  
-==== PhD ====+  * [[https://www.cwi.nl/news/2019/technology-grant-for-plasma-for-plants-project|Plasma for Plants (TTW)]] 
 +  * [[https://www.nwo.nl/en/research-and-results/research-projects/i/64/27064.html|Let CO2 spark! (TTW)]] 
 +  * [[https://www.cwi.nl/news/2018/technology-grant-awarded-to-optimize-plasma-assisted-combustion|Plasma assisted combustion (TTW)]] 
 +  * [[http://www.aida-space.eu/|AIDA (H2020)]] 
 +  * [[https://cordis.europa.eu/project/rcn/219246/factsheet/en|ESCAPE (H2020)]]
  
-I finished my [[publications:thesis|PhD thesis]] in November 2015. The work was done in +==== Simulation codes ====
-the [[http://cwimd.nl|Multiscale Dynamics]]((This is our official (CWI-hosted) +
-[[https://www.cwi.nl/research-groups/Multiscale-Dynamics|webpage]])) group at +
-CWI, under the supervision of [[http://homepages.cwi.nl/~ebert/|Ute Ebert]].+
  
-==== General interests ====+These are some of the simulation codes that I have developed or worked on:
  
-After finishing secondary school in 2005, there were three topics that I wanted +  * [[http://amrvac.org|MPI-AMRVAC]] 
-to study:+  * [[https://gitlab.com/MD-CWI-NL/afivo|Afivo]] 
 +  * [[https://gitlab.com/MD-CWI-NL/afivo-streamer|Afivo-streamer]] 
 +  * [[https://github.com/jannisteunissen/octree-mg|Octree-mg]] 
 +  * [[https://gitlab.com/MD-CWI-NL/particle_swarm|Particle_swarm]] 
 +  * [[http://cwimd.nl/doku.php?id=codes:particle|pamdi3d]] 
 +  * [[https://github.com/jannisteunissen/streamer_1d|streamer_1d]]
  
-   * How a (human) brain works +And these are some of the (simulation) utilities that I have developed:
-   * How a computer works +
-   * How nature works+
  
-Thus far, I have mostly been busy with the latter two questions, with my primary +  * [[https://github.com/jannisteunissen/config_fortran|config_fortran]] 
-research interests being computational science and computational physics. I like +  * [[https://github.com/jannisteunissen/lookup_table_fortran|lookup_table_fortran]] 
-to study systems that have some intrinsic complexity, not coming from boundary +  * [[https://github.com/jannisteunissen/rng_fortran|rng_fortran]] 
-conditions or input data.+  * [[https://github.com/jannisteunissen/morton_fortran|morton_fortran]]
  
 +==== Ideas for (small) projects ====
 +
 +A (very!) incomplete list of research ideas, some of which are suitable for student projects:
 +
 +  * 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.
 +  * 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.
 +  * Coupling stiff chemistry to simulations with AMR (adaptive mesh refinement), where the chemistry can be evaluated at coarser resolution and perhaps partially implicitly.
 +  * Performing large scale 3D simulations of [[https://en.wikipedia.org/wiki/Sprite_(lightning)|sprite]] formation
 +  * Coupling particle and fluid models in energy space, for the study of [[https://en.wikipedia.org/wiki/Runaway_electrons|runaway electron]] production in electric discharges.
 +  * Investigating the so-called "stability field" of streamer discharges through computations, with the goal of predicting how this field depends on the gas.
 +  * Extending the discharge model comparison of this [[http://dx.doi.org/10.1088/0963-0252/24/6/065002|paper]] to other fluid models
 +  * 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
 +  * Exploring methods to make conventional hydrodynamics schemes more robust (i.e., avoiding negative pressures)
  

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