AI for Materials R&D: Cut Discovery Time, Boost Innovation

Discover how ExoMatter’s AI Platform helps R&D teams identify, evaluate, and simulate new inorganic materials, cutting discovery time from months to minutes.

Join our live demo to see how AI can speed up innovation in semiconductors, electronics, batteries, and more.

Speaker: Dr. Xaiza Aniban, Materials Expert at ExoMatter

This webinar is available on demand for you to watch at your convenience.

Watch Now

About ExoMatter

Frequently Asked Questions

What is computational materials development?
Computational materials development (or materials design, materials informatics) uses a data-driven approach to select materials based on their properties. Instead of running hundreds of experiments in the lab, we can now run them on the computer. This is much more efficient than traditional materials development, which often relies partly on trial and error. Despite the great opportunities of computational materials science, these calculations are only as good as the models used to run them. Therefore, computational materials development cannot replace experiments and expert knowledge, but it supplements them. Ideally, every materials research project should start with computational materials research to narrow down the choice of materials, and then focus on further investigating the remaining materials through experimental methods. Correct interpretation of computational data and its applications is crucial, on par with understanding the science behind the calculations. This is where ExoMatter helps.
Who is ExoMatter?
ExoMatter set out to create a better world with cutting-edge materials. We believe that groundbreaking innovation starts with the right materials – and that finding them can be faster, smarter, and more accessible.

Our product is based on years of research at the German Aerospace Center (DLR) and was launched as spin-off in 2022. ExoMatter combines scientific expertise with the latest technologies to accelerate materials R&D.

Headquartered in Munich, we are a diverse and growing team of 20+ professionals, building a platform for Materials R&D that’s made by scientists, for scientists.

Where does ExoMatter get materials data from?
Our data is compiled from publicly available sources, purchased sources, and our own sources. All data is then processed by ExoMatter to reveal a complete picture, including physical, mechanical and chemical data as well as costs and sustainability metrics. We sometimes perform our own first-principles calculations to fill data gaps, but our focus is on gathering and mining data, and providing everything in one place. Chemical and physical data is generated through thermodynamic calculations and AI-based analyses (data generation through Machine Learning).
How does ExoMatter define “materials”? Do you also develop composite materials?

In our current scope, a material is any chemically pure substance which is intended to be used for a specific application. Our strong suit are inorganic solids, especially ceramic oxides, semiconductors, and other crystalline compounds. If your work lies outside of those focus areas, please reach out to us. We are constantly expanding our offering and will be pleased to discuss your project with you.

How are you using AI in your materials research?
We utilize external datasets partially compiled through AI methods and calculate some materials properties through Machine Learning. Our algorithms rapidly identify materials suited for specific applications.
I am a researcher. Will you also offer your services to academic research projects?
Yes, academic projects present an important application for our technology, in addition to industrial use case.
How can I apply to work for ExoMatter?
Check out our open positions here.
Can I support ExoMatter as a Business Angel, Investor, or Partner?

Yes, we are happy to receive support in any form, even when we are not actively raising funds. Please reach out to us.