Description
Leader of the group Multiscale Dynamics: Ute Ebert.
Nature and technology are full of dynamics, often involving multiple scales in length, time and energy. To model these processes, we combine scientific computing with model reduction and machine learning, with particular focus on plasma dynamics in lightning and space weather, and in high voltage and plasma technology.
Our research addresses questions in nature such as start and propagation of lightning strokes, terrestrial gamma-ray flashes and space weather, and closely related technological problems such as switch gear for long-distance electricity nets, air purification and disinfection with corona reactors, and protection of satellites and electricity nets from space weather.
Within national and European projects, we collaborate with colleagues in applied plasma physics, electrical and mechanical engineering, atmospheric electricity, and cosmic particle and space science, and with non-academic partners such as ABB, DNV-GL, ESA-ESTEC and NASA.
Find more about our work (including publications) on the personal homepages of the staff scientists:
- Ute Ebert (group leader)
- Enrico Camporeale
- Jannis Teunissen
and on the page with our numerical codes for Multiscale Plasma Dynamics.
View a photo of the Multiscale Dynamics group.
Vacancies
Postdoc on the subject of Machine Learning in Space Physics
Centrum Wiskunde & Informatica (CWI) has a vacancy in the Multiscale Dynamics research group for a talented Postdoc, on the subject of Machine Learning in Space Physics.
News
Vidi grant for Enrico Camporeale’s space weather research
CWI researcher Enrico Camporeale received a Vidi grant from NWO for his proposal 'Real-time forecasting of killer electrons on satellite orbits' in May 2017. He received the 800,000 euro grant to develop his own innovative line of research and to set up his own research group within five years. Camporeale will develop a technology to forecast space weather events that could harm satellites, power networks and communication systems. This forecast would allow to take countermeasures.
New electricity grids possible with computer simulations
Renewable energy requires new electricity grids, sometimes over entire continents, because 'green energy' is often generated in remote locations.
Four million euro for EU SAINT network on thunderstorm research
In May 2016 the EU 'SAINT' Innovative Training Network in the Marie Skłodowska-Curie Actions Programme was awarded a 4 Million euro grant. SAINT stands for ‘Science and Innovation with Thunderstorms’. Its 19 partners come from both academia and non-academia, such as NASA, PLASMAT and Airbus.
Cum laude for 3D modelling of pulsed discharges in air
PhD student Jannis Teunissen from Centrum Wiskunde & Informatica (CWI) has made major progress in modelling the early stages of electric discharges as they occur in lightning, high voltage electricity nets and plasma technology. He received a 'cum laude' predicate for his thesis '3D Simulations and Analysis of Pulsed Discharges', which he defended on 12 November 2015 at Eindhoven University of Technology.
Members
Associated Members
Publications
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Li, Y, van Veldhuizen, E.M, Zhang, G.J, Ebert, U. M, & Nijdam, S. (2018). Positive double-pulse streamers: how pulse-to-pulse delay influences initiation and propagation of subsequent discharges. Plasma Sources Science and Technology, 27(12). doi:10.1088/1361-6595/aaf2c6
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Diniz, G, Rutjes, C, Ebert, U. M, Ferreira, I.S, & São Sabbas, E.F.M.T. (2018). Modeling neutron emissions in high energy atmospheric phenomena. Journal of Geophysical Research - Atmospheres. doi:10.1029/2018JD028962
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Bagheri Varnousfaderani, B, Teunissen, H.J, Ebert, U. M, Becker, M.M, Chen, S, Ducasse, O, … Yousfi, M. (2018). Comparison of six simulation codes for positive streamers in air. Plasma Sources Science and Technology, 27(9). doi:10.1088/1361-6595/aad768
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Teunissen, H.J, & Ebert, U. M. (2018). Afivo: A framework for quadtree/octree AMR with shared-memory parallelization and geometric multigrid methods. Computer Physics Communications. doi:10.1016/j.cpc.2018.06.018
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Mascini, N.E, Teunissen, H.J, Noorlag, R, Willems, S.M, & Heeren, R.M.A. (2018). Tumor classification with MALDI-MSI data of tissue microarrays: A case study. Methods. doi:10.1016/j.ymeth.2018.04.004
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Camporeale, E, Sorriso-Valvo, L, Califano, F, & Retinò, A. (2018). Coherent structures and spectral energy transfer in turbulent plasma: A space-filter approach. Physical Review Letters, 120. doi:10.1103/PhysRevLett.120.125101
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Hare, B.M, Scholten, O, Bonardi, A, Buitink, S, Corstanje, A, Ebert, U. M, … Winchen, T. (2018). LOFAR lightning imaging: Mapping lightning with nanosecond precision. Journal of Geophysical Research - Atmospheres. doi:10.1002/2017JD028132
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Elkholy, A, Shoshyn, Y, Nijdam, S, van Oijen, J, van Veldhuizen, E.M, Ebert, U. M, & de Goey, L.P.H. (2018). Burning velocity measurement of lean methane-air flames in a new nanosecond DBD microplasma burner platform. Experimental Thermal and Fluid Science, 95, 18–26.
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The Computational Pan-Genomics Consortium, Marschall, T, Marz, M, Abeel, T, Dijkstra, L.J, Dutilh, B.E, … Schönhuth, A. (2018). Computational pan-genomics: status, promises and challenges. Briefings in Bioinformatics, 19(1), 118–135. doi:10.1093/bib/bbw089
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Rutjes, C, Diniz, G, Ferreira, I.S, & Ebert, U. M. (2017). TGF afterglows: A new radiation mechanism from thunderstorms. Geophysical Research Letters, 44(20), 10702–10712. doi:10.1002/2017GL075552
Software
Afivo: A framework for adaptive mesh refinement with geometric multigrid methods
Afivo, short for Adaptive Finite Volume Octree, is a framework for adaptive mesh refinement on quadtree (2D) and octree (3D) meshes with shared memory parallelization (OpenMP) and geometric multigrid methods.
PumpKin: Analyzing complex chemistry models
PumpKin, short for Pathway Reduction Method for Plasma Kinetic Models, is a tool for post-processing results from zero-dimensional plasma kinetics solvers.
Current projects with external funding
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Making plasma-assisted combustion efficient
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Real-time forecasting of killer electrons on satellite orbits
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Artificial Intelligence Data Analysis (AIDA)
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European Science Cluster of Astronomy & Particle physics ESFRI research infrastructures (ESCAPE)
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Let CO2 spark! Understand breakdown dynamics for high voltage technology and lightning Abstract Sparks, (Let CO2 spark!)
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Plasma for Plants: Towards controlled and efficient plasma-activated water generation for a cleaner environment (Plasma for Plants)
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Science and Innovation with Thunderstorms (SAINT)
Related partners
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CNRS
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CSIC
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IT-DTU Lyngby
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Universita di Pisa
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Universitetet i Bergen
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University of Bath
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Bristol Industrial and Research Associates Limited
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DENA DESARROLLOS SL
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Katholieke Universiteit Leuven
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Technische Universiteit Eindhoven
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Universidad Politecnica Catalunya
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Université Paul Sabatier (Toulouse III)