Lecture notes

Lecture notes

Your first Atomify Lammps simulation

Open your First simulation using Atomify Lammps

My first MD simulation

 

Click on the example entitled: My first MD simulation

 

Diffusion simulations

Here is a video about diffusion of heat and matter and a video about diffusion using MD. Finally, a video on vthe random walk as a diffusion process and on an algorithmic model of diffusion.

3D diffusion MSD

 

Click on the example entitled: 3D diffusion MSD

 

In these simulations, we simulate atoms diffusing in a liquid and measure the diffusion coefficient using the mean square displacement. The mean square displacement in the x-direction is defined as

\( MSD = \langle (\vec x(t) - \vec x_0)^2\rangle = \frac{1}{N}\sum_{i=1}^{N} |\vec x^{(i)}(t) - \vec x^{(i)}_0|^2 \)

and relates to the diffusion coefficient \( D \) as

\( D = \frac{\langle (\vec x(t) - \vec x_0)^2\rangle}{2t} \)

where \( t \) is the time.

Melting of a 2D solid

Click on the example entitled: Melting of a 2D solid

Heat capacity simulation

?What is the heat capacity of the LJ fluid
?In the dilute gas phase?
?In the liquid phase?
?In the solid phase?
?How does this fit with theory?

Weekly exercise

In order to make sure you reach the learning goals of this week: complete the weekly exercises of week 36.