Thanks for the introduction and invitation to speak.

Of course, we already had a good day yesterday with a success for your PhD defense and a

nice evening after.

So yeah, my presentation today, I will actually not say much about the lattice-Boltzmann method.

It's just a numerical tool for what I will present here today.

I think there's one slide that mentions lattice-Boltzmann and that's it.

I think that it might be more interesting to talk about one particular application,

and this would be inertial microfluidics, which is an emerging technology that is used

for various applications, for example, separation of particles and microfluidics.

So before I start with my actual presentation, I want to give the acknowledgments so that

I won't forget them at the end.

First of all, everything you see here is the work of Ben, Benjamin Owen, who is a postdoc

in the group.

And I'm summarizing here the work of a paper we published earlier this year, and there

are currently two follow-up works that we are about to finish and submit, which are

closely related to what I will present today.

But I will not talk about the content of the other two papers, but I will mention where

the natural continuation is of the work I will present today.

There are also a number of people I want to thank for their input and feedback.

It's Christian Schaaf and Holger Stark in Berlin, who actually looked at a similar system

in the past, taking rigid particles.

We look at soft particles in inertia microfluidics.

Then Prasenjit Bakshi, he kindly gave us some data of a test case that we used to validate

or to verify our code.

Erich and Krishnavini, they are two postdocs in the group as well, and they provided a

lot of input.

And all the simulations ran on the Cirrus supercomputer in the UK.

Also, I would like to acknowledge the European Research Council for funding.

BioFM, that's our research group, and Cirrus is the ESE project that is funded by the European

Research Council.

Okay.

So, what will I do today in the next 30 minutes or so?

I will take quite a bit of time to present to you what inertia microfluidics is and what

you can use it for and which interesting effects can occur in inertia microfluidics.

Then very quickly, I would say something about the physical model and the numerical model.

After that, I will talk about particle pairs.

And in this particular case, there are two identical particles that are interacting in

inertia microfluidics.

And I will also mention later on what happens or what might happen if you have two particles

which are not identical.

And then, of course, I will wrap up.

So let's think about microfluidics for diagnostics, for example.

You all know very well that there have been quite a few applications recently where scientists

were interested in, let's say, performing PCR analyses, thinking about COVID.

But there are different applications where genetic analyses are important.

For example, if you want to develop a new drug, one particular pathway for the development

is to take certain bacteria that produce certain chemicals in a different way.

And you want to find those bacteria out of a population of bacteria that do this particularly

well.

And then you can isolate them and you can try to do something with them.