Martí-Franquès COFUND Fellowship Programme


Details

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Reference:

2021MFP-COFUND-2

Area:

Engineering and Architecture

Supervisor name and surname:

Josep Bonet Avalos

Supervisor email:

josep.bonet@urv.cat

Supervisor short biography

Co-supervisor name and surname:

Clara Salueña Pérez

Co-supervisor email:

clara.saluena@urv.cat

Co-supervisor institution:

URV

Co-supervisor short biography

PhD programme:

Nanoscience, Materials and Chemical Engineering

Title of the research project:

Particulate models for dynamics of colloidal suspensions

Description of the research project:

The understanding of mesoscopic flow dynamics is crucial for the design of novel nanofluidic processes as well as to test new theories of fluctuations at the mesoscale, which are relevant for biological systems. One important aspect of the microscale is the importance of the thermal fluctuations, which are responsible for the diffusion processes, but they also play a fundamental role in e.g., the dynamics of biological micromotors. To understand and simulate such type of systems, the description of the fluctuating fluid is a key element. Lagrangian particulate methods, as the ones used to simulate macroscopic flows (e.g. SPH), are suitable for systems with free surfaces as well as containing embedded colloids. These methods can be scaled down to the microscale, by the inclusion of the appropriate stochastic (random) terms that mimic the thermal agitation, responsible for Brownian motion.

Recently, we have developed the necessary framework to construc this type of models at the mesoscale, which we have generically named as GenDPDE. However, to simulate small viscous systems (like blood), the main problem lies in the fact that in real systems the momentum is transferred fast as compared to the time the particles take to diffuse. The ratio of these two effects is commonly referred to as the Schmidt number, which is rather large in fluids like water (Sc≈400). Thus, the direct application of SPH, or the fluctuating counterpart SDPD, are computationally very expensive, as the resolution of the momentum relaxation limits the size of the time-steps that can be applied.

In this project, we aim at constructing a fluctuating particle-based method to describe viscous fluids at the microscale and mesoscale, with low computational cost, and yet able to reproduce the dominating hydrodynamic interactions for small systems with large Sc numbers. The targeted applications are colloidal suspensions of different types, but the intended simulation scheme has wide application to biological fluids, being blood its paramount representative.

The host team has a long experience in building and applying simulation codes based on Lagrangian methods, both for macroscopic and mesoscopic fluids (see references). The successful candidate will have support in all phases of the production of the simulation code, which ultimately will be designed to run in high performance computing (HPC), likely under the Lammps umbrella.

Highly desirable attributes of the ideal candidate

* Demonstrated previous experience in one or more of the following topics: programming in scientific languages is a necessary condition (see below). A strong background is required in the Physics of Fluids and Statistical Mechanics.

* Hold a Master degree, or equivalent, in: Physics, Applied Mathematics, Mechanical, Chemical or Aeronautical Engineering, or Physical Chemistry.

* Language skills: The successful candidate must be fluent in English.

* Specific Software skills: the preferred scientific languages are Matlab and Fortran, followed by C, C++ or Python.

* Personality traits: the successful candidate must be capable of teamwork, show initiative and creativity, and comply with the ethical guidelines of the university.

The URV team and its collaborators have ample experience in the modelling and implementation of mesoscopic fluid simulation methods (see the references), which will help the successful candidate to complete the PhD work.


References
Generalised Energy-Conserving Dissipative Particle Dynamics Revisited: Insight from
the Thermodynamics of the Mesoparticle Leading to an Alternative Heat Flow Model (J.B. Avalos et al. Phys. Rev. E –in press)
Acoustic wave propagation and its application to fluid structure interaction using the Cumulant Lattice Boltzmann Method (DOI: 10.1016/j.camwa.2021.02.011)
Shear-viscosity-independent bulk-viscosity term in smoothed particle hydrodynamics (DOI:10.1103/PhysRevE.101.013302)
Generalised dissipative particle dynamics with energy conservation: density- and temperature-dependent potentials (DOI: 10.1039/c9cp04404c)
Logarithmic Exchange Kinetics in Monodisperse Copolymeric Micelles (DOI:10.1103/PhysRevLett.118.248001)
Molecular dynamics algorithm enforcing energy conservation for microcanonical simulations (DOI: 10.1103/PhysRevE.89.053314)
Dissipative particle dynamics at isothermal, isobaric, isoenergetic, and isoenthalpic conditions using Shardlow-like splitting algorithms (DOI: 10.1063/1.3660209)
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Ethics: This project involves ethical aspects

Workplace Location: Campus Sescelades, Tarragona

Gross anual salary:

27103.20 €

Dedication:

Full time

Working hours:

37.5 hours a week

Earliest expected start date:

01 April 2022

European union This project has received funding from the European Union's Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No. 945413