AggregationKinetics | Emergence of Large Particles in Cluster-Cluster Aggregation

Summary
Cluster-cluster aggregation is a growth process mediated by collisions and subsequent irreversible coagulation events. Surprisingly diverse range of natural and industrial phenomena in physics (formation of rain droplets), astrophysics (star and galaxy formation) and chemistry (polymerization) are essentially driven by the same mechanism. Therefore a sound understanding of these phenomena from theoretical and practical aspects is of utmost importance. We propose a multi-aspect study of dynamics of coagulating systems that undergo irreversible aggregation. The ambitious two-part project will encompass the mathematical analysis, physical derivations and numerical solutions of deterministic and stochastic aggregation models. The first part of the project will have the aim of addressing some of the important problems with regards to gelation, convergence to self-similarity and asymptotic behaviour of solutions of the Smoluchowski equation. The second part of the project will be devoted to the modelling and analysis of large fluctuations in aggregating systems with a focus on generation of exceptionally large clusters where the mean-field description becomes inadequate. To address the latter problem, a theory for the statistics of large clusters within the framework of kinetic theory will be developed which involves derivation of new stochastic models at the particle or continuum level.

Dr. Emre Esenturk did his undergraduate education in physics in Ankara. He obtained his MSc in physics and PhD in mathematics at University of Pittsburgh (2011). After this, he did postdoctoral research in the Brown University and Pohang University of Science and Technology. He has worked on a broad range of topics in mathematics and physics including modeling, analysis and computational aspects.
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More information & hyperlinks
Web resources: https://cordis.europa.eu/project/id/705033
Start date: 01-03-2017
End date: 28-02-2019
Total budget - Public funding: 183 454,80 Euro - 183 454,00 Euro
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Original description

Cluster-cluster aggregation is a growth process mediated by collisions and subsequent irreversible coagulation events. Surprisingly diverse range of natural and industrial phenomena in physics (formation of rain droplets), astrophysics (star and galaxy formation) and chemistry (polymerization) are essentially driven by the same mechanism. Therefore a sound understanding of these phenomena from theoretical and practical aspects is of utmost importance. We propose a multi-aspect study of dynamics of coagulating systems that undergo irreversible aggregation. The ambitious two-part project will encompass the mathematical analysis, physical derivations and numerical solutions of deterministic and stochastic aggregation models. The first part of the project will have the aim of addressing some of the important problems with regards to gelation, convergence to self-similarity and asymptotic behaviour of solutions of the Smoluchowski equation. The second part of the project will be devoted to the modelling and analysis of large fluctuations in aggregating systems with a focus on generation of exceptionally large clusters where the mean-field description becomes inadequate. To address the latter problem, a theory for the statistics of large clusters within the framework of kinetic theory will be developed which involves derivation of new stochastic models at the particle or continuum level.

Dr. Emre Esenturk did his undergraduate education in physics in Ankara. He obtained his MSc in physics and PhD in mathematics at University of Pittsburgh (2011). After this, he did postdoctoral research in the Brown University and Pohang University of Science and Technology. He has worked on a broad range of topics in mathematics and physics including modeling, analysis and computational aspects.

Status

CLOSED

Call topic

MSCA-IF-2015-EF

Update Date

28-04-2024
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Horizon 2020
H2020-EU.1. EXCELLENT SCIENCE
H2020-EU.1.3. EXCELLENT SCIENCE - Marie Skłodowska-Curie Actions (MSCA)
H2020-EU.1.3.2. Nurturing excellence by means of cross-border and cross-sector mobility
H2020-MSCA-IF-2015
MSCA-IF-2015-EF Marie Skłodowska-Curie Individual Fellowships (IF-EF)