So he is a neighboring chair both physically and of course also scientifically and we are

looking forward to the talk.

The topic today is towards the optimization of optical properties of particulate products.

Please Professor Stinger, the screen is yours.

Yeah, thank you very much for these nice words.

As it was said today, I would like to discuss some challenges when optimizing particulate

products with respect to optical properties.

The observations I'm going to present have been mainly made in the collaborative research

center design of particulate products, which was launched about two years ago at FAU and

is founded by the German Research Association.

More specifically, contributions to that presentation today have been made by Lukas Pflug, who is

the manager of the new competence unit for scientific computing in Erlangen and by Nico

Ney's PhD students of mine in the design of particulate products program.

Both have roots in mathematics and there are many more connections to other people from

chemical engineering, mainly from the FAU and physicists, but I didn't list all of them

here explicitly.

So sorry.

Somehow the switching of the slides does not.

So let me start with a few general remarks on the collaborative research center.

First, one of the main paradigms of the CRC is to go from so-called unit operations to

the full product and property design.

And for this, these two functions here are of utmost importance.

First there's the property function by which we can predict a certain property of a particle

system based on the given composition and dispersity of the particles.

Dispersity is because you are discussing or looking at systems of millions of particles

and then these systems typically two particles never look the same.

So you need to take into account this dispersity.

And then there is a second function, which is the process function, which predicts the

dispersity out of a synthesis process in these two variables, typical process variables like

dynamic temperature control concentrations and stuff like this.

Concerning properties in the CRC, we decided to focus on optical properties.

This is mainly for two reasons.

First, because you have a lot of fancy applications for optical properties like this quantum dot

display where you may also have heard that more recently anti-gain tests are also related

to nanoparticles.

This here is certainly not an application.

It's a lizard, but it has these nice shiny colors and they are angular.

That means colors change when you switch your position, when the observer switches the position

and this inspires the engineers to come up with dedicated systems of all the nanoparticles

to mimic this kind of behavior.

And there's a second reason for this choice of optical properties because the simulation

and modeling of these optical properties is essentially well understood.

So this serves very well as a model system to test things.

On the other hand, there's still a large gap between synthetic protocols and such fancy

technical applications.

And that's why in the first phase of the CRC, we are now at year two and of a maximally

12 in total.

We much want basic properties of these predictive process structure property design.

Here in brief is the structure of the CRC we have in total four different research areas.

The first is on particle formation dealing with highly defined synthesis processes.