 So we're here at ID Tech X and hi, so who are you? I'm Thomas Rini and I work for SCM, a sense for software for chemistry and materials. And what we do is basically we develop and distribute software for modeling materials. All it takes is to define an atomistic structure. So place atoms, build a model, place your atoms and then call various different programs which are available. And from there one can predict materials properties, optical properties, chemical reaction rates and general arbitrary behavior of general behavior. So you make a software? And what is this for building what? Molecules? This is for building molecules. Build a molecule. So I actually ran the business curve and so with that it's going to define one atom for example. We have a program which for this molecule solves the quantum mechanical equations needed to obtain solutions in turn when we can then predict the material properties. So what is the SCM? SCM stands for software for chemistry and materials. That's our company? But it's where? That's in Amsterdam. And is this, nobody else is doing this where people can predict what happens with molecules? There are various different programs available. What we provide is more like a comprehensive software suite where different programs, different models are available on various different tools for analyzing. So it's like one suite, one suite? Yes, exactly. And you get everything? And then what is happening here? So this is basically the program which is right now. And we've got some energy spectrum in principle of electrons. So what are you doing right now? I'm plotting the solutions for this. So now one gets, for example, a plot of the electron density alternatively. Find where the individual electrons are located somewhere. And plot these in turn? What is that? So it says here you can do stuff for batteries, all these different things right here. Nanoscience, how is it relevant for the nanoscience? Well, it's relevant in the sense that one, by definition, models of atomistic systems. So at the atomic level. And therefore the step is not far to build. What software do you usually use, the nanoscientists? To some extent, things like that. So basically the main idea is you start from a small, very atomistic model. And then you get properties, for example, for molecules or for crystalline materials. And from these properties you can then step up, go one step further to a larger scale, for example, micrometer scale. And then examine properties there, see how a larger system behaves based on the parameters which were computed at the atomistic level before. So the main idea then is often, for example, that you start from an atomistic model and via three or four steps one can then go up until, for example, chemical reactor and model process conditions as an example. And here it says also you can do a pharma. And what do you do with the pharma? We usually provide, for example, bonding situations or one can, for example, simulate proteins, the active center inside proteins and see how biological systems behave. And these are all the apps in your suite? These are some of the apps. Some of them? Yes. And they all run on Windows? Windows and Linux and on Mac. It's the whole thing. So is it big, successful or big company? We have 20 people about so that also spin off from the university in Amsterdam. What's next? What's the biggest challenge? What's the biggest dream all the people have when they do this? Well, the biggest dream, the main thing is obviously these simulations. They contain a lot of in-depth knowledge about quantum chemistry. So what we try to do is make it easier. So the ideal thing would be in, let's say, 20 years, push a button on your iPhone, run it on the supercomputer, get the results back and analyze you. Nothing yet. But that would be the push a button, let the simulation run on the supercomputer, and then get, for example, things back, your solutions back and have your properties readily available. That would be a potential application case. Well, you have to wait 12 years. Can you just run it on the cloud? The thing is to make things easy. As I said before, it requires a lot of in-depth knowledge. So we try to make computational chemistry for our customers. Are your customers inventing new molecules? Yes, I wouldn't call inventing it. It's more like typically you have an extremely large series of different potential candidates for molecules, compounds. And then what we can, for example, do is systematically screen these individual compounds for their desired properties and then narrow it down so that the experimental work is then reduced to the remaining candidates, for example.