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 (starting 1 October 2018)
and on the page with our numerical codes for Multiscale Plasma Dynamics.
View a photo of the Multiscale Dynamics group.
Vacancies
PhD student on computational models for lightning physics
The Multiscale Dynamics group has a vacancy for a PhD student on computational models for lightning physics.
Postdoc on the subject of Machine Learning and Space Weather
The position involves research in machine learning techniques and Bayesian inference, applied to real-time forecasting of energetic electrons in the Earth radiation belts. These electrons can be harmful to satellites, whose disruption can potentially lead to catastrophic societal and economic events. The emerging field of Space Weather is concerned with making accurate predictions of such dangerous events, sufficiently in advance so that countermeasures can be taken. The aim of this project is to advance our space weather prediction capability by enhancing physics based models with a new data-driven probabilistic framework. The project will involve state-of-the-art numerical simulations, Bayesian parameters estimation, uncertainty quantification and machine learning techniques.
News
Efficient models for high voltage switching
In the search for better environmentally friendly high-voltage switches, it is important to understand electrical breakdowns in various media. PhD student Ashutosh Agnihotri (CWI) developed efficient computational models to simulate these phenomena in different gas mixtures. He defends his PhD thesis at Eindhoven University of Technology on 25 June.
AIDA: Exploring space with Artificial Intelligence
The EU H2020 project 'AIDA' on using artificial intelligence in space physics was signed in May. The Multiscale Dynamics Group at CWI is one of the eight research partners involved. The ultimate goal is to create an intelligent system that enables new scientific discoveries in space.
CWI researchers simulate how ‘coherent structures’ affect solar wind heating
CWI researchers have further developed our understanding of how solar wind particles get accelerated and heated. In particular, they discovered how ‘coherent structures’ in the solar wind, places where the magnetic fields and electrical currents are enhanced, affect the energy transfer responsible for heating. The results were published in Physical Review Letters on 19 March 2018.
Better simulations for lightning and high-voltage technology
Until recently, it was not clear how lightning could start. CWI PhD student Casper Rutjes modelled and simulated the origin of lightning and ionizing radiation from storm clouds and explained the physics of these phenomena. On 15 March he defended his PhD thesis. His results are important for lightning research, high-voltage technology and nuclear medicine models.
Current events
PhD Defence Ashutosh Agnihotri (Multiscale Dynamics)
- 2018-06-25T13:30:00+02:00
- 2018-06-25T14:30:00+02:00
PhD Defence Ashutosh Agnihotri (Multiscale Dynamics)
Start: 2018-06-25 13:30:00+02:00 End: 2018-06-25 14:30:00+02:00
Everybody is invited to attend the public defence of Ashutosh Agnihotri of his thesis entitled 'Modeling heat dominated electrical breakdown'
Promotores: prof.dr. Ute Ebert (CWI, TU/e), prof.dr. Willem Hundsdorfer(†) (CWI, Radboud University)
Copromotor: dr. Enrico Camporeale (CWI)
Members
Associated Members
Publications
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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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Bliksemschicht veroorzaakt gammaflitsen - New Scientist - 31-01-18. (2018). Bliksemschicht veroorzaakt gammaflitsen - New Scientist - 31-01-18.
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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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Camporeale, E, Wing, S.P, Johnson, J.R, Jackman, C.M, & McGranaghan, R. (2018). Space weather in the machine learning era: A multidisciplinary approach. Space Weather (Vol. 16, pp. 2–4). doi:10.1002/2017SW001775
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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
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Bliksem produceert nagloed van gammastraling - Engineersonline.nl - 23-10-2017. (2017). Bliksem produceert nagloed van gammastraling - Engineersonline.nl - 23-10-2017.
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A natural neutron source - Physics World - 01-10-2017. (2017). A natural neutron source - Physics World - 01-10-2017. Physics World, October 2017, 13–15.
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Het weer donder en bliksem. Koning der wolken krijgt hulp uit de ruimte - Trouw - 20-07-2017. (2017). Het weer donder en bliksem. Koning der wolken krijgt hulp uit de ruimte - Trouw - 20-07-2017.
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Chandorkar, M.H, Camporeale, E, & Wing, S.P. (2017). Probabilistic forecasting of the disturbance storm time index: An autoregressive Gaussian process approach. Space Weather, 15. doi:10.1002/2017SW001627
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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Cosmic Lightning
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Modeling DC Circuit-Breakers for Long-Distance Electricity Transmission
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Real-time forecasting of killer electrons on satellite orbits
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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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Science and Innovation with Thunderstorms (SAINT)
Related partners
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CSIC
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FOM
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IT-DTU Lyngby
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Shell, Amsterdam
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Universiteit Groningen - Kernfysisch Versneller Instituut
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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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Technische Universiteit Eindhoven
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Universidad Politecnica Catalunya
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Université Paul Sabatier (Toulouse III)