This repository contains most of the work that I did throughout the four years I spent working in my Ph.D.
If you are only interested in the dissertation, I recommend you to visit this website, where you can download the entire file in pdf format.
I would have liked to clean the code contained in the jupyter notebooks. Maybe it is not readable enough, but I did my best with the little time that every phd candidate has along in his/her last year. Hope it would be useful.
Because GitHub does not admit files larger than 100.00 MB, all the necessary files to run the notebooks are not included.
- Molecular Dynamics (MD) simulations.
- Coarse-Graining Theory.
- Statistical Physics.
- Nanohydrodynamics.
- To perform MD simulations I used LAMMPS.
- To obtain mesoscopic information from the simulations my group developed the CG-Method. Almost all the code was written by @hiperones.
- Python was my predilect language to translate the theory to code. And Jupyter notebooks my panopticon to visualize the results.
- Microscopic Slip Boundary Conditions in Unsteady Fluid Flows. Ref: Phys. Rev. Lett. 123, 264501 – Published 24 December 2019.
- Discrete hydrodynamics near solid walls: Non-Markovian effects and the slip boundary condition. Ref: Phys. Rev. E 100, 062133 – Published 24 December 2019
- Discrete hydrodynamics near solids for planar flows. Ref: Phys. Rev. E 99, 052130 – Published 24 May 2019.
- Solution to the plateau problem in the Green-Kubo formula. Ref: Phys. Rev. E 99, 022126 – Published 19 February 2019.
- Nanoscale hydrodynamics near solids. Ref: The Journal of Chemical Physics 148, 064107 - Published 12 February 2018.