logo

Emergence of Large Particles in Cluster-Cluster Aggregation

Sector: Manufacturing (Industrial) • Location: United Kingdom

Source: EU Funding & Tenders Portal

Project
Ended

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 th

Project Information FAQ

Project Information

3 Q
The project “Emergence of Large Particles in Cluster-Cluster Aggregation” is an infrastructure initiative in the Manufacturing (Industrial) sector, located in United Kingdom. Taiyo aggregates data on it from EU Funding & Tenders Portal.

Want to explore the full details? View the full report

Participants

Sponsoring Agency

Obfuscated Data

Company

Obfuscated Data

Status

Original status

ended

Taiyo status

Obfuscated Data

Taiyo last update

00-00-0000

Available timestamps

00-00-0000

Available timestamp type

Obfuscated Data

Contact

Contact name

Obfuscated Data

Phone

0000000000

Email

ObfuscatedData@email.com

Address

Obfuscated Data, Obfuscated data, obfuscated data, Obfuscated data

Description

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.

Original sub-sector

Obfuscated

Original Currency

USD

Original budget

000000000000000

Procurement method

Obfuscated Data

Budget

000000000000000

Location

Region

Obfuscated

Country

Obfuscated

State

Obfuscated Data

County

Obfuscated

Location

Obfuscated Data, Obfuscated data, obfuscated data, Obfuscated data

Source

Source reliability

High

Data quality score

100%

Source

Obfuscated Data

URL

obfuscated_data,obfuscateddata.com

More Details

Project Type

Obfuscated Data

Article Published Date

Obfuscated Data