Project description
Training experts for interacting particle systems
Mathematical models and computer simulations are essential tools for addressing critical challenges in science, society and industry, enabling the use of virtual prototypes to design and optimise systems. However, it is unclear how to combine simulation results with observation data in a digital setting, particularly for systems composed of large particles with highly non-trivial interaction. To reduce computational complexity, computer simulations typically rely on highly approximate models. The EU-funded DATAHYKING project aims to train a new generation of modeling and simulation experts to develop virtual experimentation tools and workflows that can exploit the potential of mathematical modeling and simulation of interacting particle systems. The project will rely on a data-driven simulation framework for kinetic models.
Objective
Europe faces major challenges in science, society and industry, induced by the complexity of our dynamically evolving world. To tackle these challenges, mathematical models and computer simulations are indispensable, for instance to design and optimize systems using virtual prototypes. Moreover, while the big data revolution provides additional possibilities, it is currently unclear how to optimally combine simulation results with observation data into a digital. Many systems of interest consist of large numbers of particles with highly non-trivial interaction (e.g. fine dust in pollution, vehicles in mobility).
However, to date, computer simulation of such systems is usually done with highly approximate (macroscopic) models to reduce computational complexity. Facing these challenges without sacrificing the complexity of the underlying particle interactions requires a fundamentally new type of scientist that uses an interdisciplinary approach and a solid mathematical underpinning. Hence, we aim at training a new generation of modeling and simulation experts to develop virtual experimentation tools and workflows that can reliably and efficiently exploit the potential of mathematical modeling and simulation of interacting particle systems.
To this end, we create a data-driven simulation framework for kinetic models of interacting particle systems, and define a common methodology for these future modeling and simulation experts. The network focuses on (i) reliable and efficient simulation; (ii) robust consensus-based optimisation, also for machine learning; (iii) multifidelity methodes for uncertainty quantification and Bayesian inference; and (iv) applications in fluid flow, traffic flow, and finance, also in collaboration with industry. Moreover, the proposed EJD program will create a closely connected new generation of highly demanded European scientists, and initiate long-term partnerships to exploit synergy between academic and industrial partners.
Fields of science
- natural sciencescomputer and information sciencesdata sciencebig data
- natural sciencesmathematicsapplied mathematicsstatistics and probabilitybayesian statistics
- natural sciencesearth and related environmental sciencesenvironmental sciencespollution
- natural sciencescomputer and information sciencesartificial intelligencemachine learning
- natural sciencesmathematicsapplied mathematicsmathematical model
Keywords
Programme(s)
- HORIZON.1.2 - Marie Skłodowska-Curie Actions (MSCA) Main Programme
Coordinator
3000 Leuven
Belgium
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Participants (7)
44121 Ferrara
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00185 Roma
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67663 Kaiserslautern
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52062 Aachen
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78153 Le Chesnay Cedex
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Participation ended
59000 Lille
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06100 Nice
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Partners (10)
Participation ended
06100 Nice
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6041 Gosselies
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
44121 Ferrara
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
00186 Roma
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1040 Bruxelles / Brussel
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
34143 TRIESTE
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69007 Lyon
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
3010 Leuven
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
92220 BAGNEUX
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5657 BX Eindhoven
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