science for industry
Data-driven materials reduce
complexity in engineering.
We use artificial intelligence and x-rays to explain materials in high-tech engineering.
WHY WORK WITH US?
Our brains & experience
We have more than 38 years of experience in the field of materials science, both in academia and industry. We are experimental and simulation experts and have a wide range of tools and methods at our disposal to answer materials science questions. We are internationally networked and have a well-maintained partner network in various universities, such as ETH Zurich, Empa, PSI, NTB, RhySearch, etc.
We have written more than 20 scientific publications in the field of x-ray technology and have played a major role in shaping technological developments of the field. The focus was on data acquisition as well as on the automated evaluation and analysis of large amounts of data using high-performance computing. In industrial practice, we use x-ray technology as a standard method for characterizing materials.
We have years of experience in the field of data-based sciences. We are experts in solving industrial materials problems using artificial intelligence and data science. We use state-of-the-art computing infrastructures that enable high computing power, short processing times and secure data handling. Our vision is to support engineers in high-tech industries by data-driven material developments. This significantly reduces development times and costs.
Industry, materials, in-silico, and x-ray expertise at work
Dr. Roger Herger
CEO & Founder
Roger Herger is CEO and founder of maXerial. He loves to work in multidisciplinary teams, connecting experiments and state-of-the-art computing. Roger has a scientific background in x-ray analytics and has held several technical and management positions in the industry. Roger received his MSc in Chemistry and holds a PhD in Physics.
Dr. Patrick Bleiziffer
CIO & Co-founder
Patrick Bleiziffer is CIO and co-founded maXerial. He is fascinated by solving problems in materials science by virtue of computational methods. His computational toolbox contains physical models as well as methods based on artificial intelligence. These tools have been successfully applied in academic and industrial environments. Patrick received his MSc in Nano Science and holds a PhD in Theoretical Chemistry.
Thorsten Wiege, MSc
CTO & Co-founder
Thorsten Wiege is CTO and co-founder of maXerial. He is interested in connecting materials knowledge with engineering and fatigue life models. Thorsten has experience in materials analysis, structure simulations and working in interdisciplinary teams. He received his BSc in Mechanical Engineering and his MSc in Materials Sciences.
Typical industrial applications
The quality standards and requirements for controllers and sensors in high-tech industries are increasing steadily. The electric components are getting smaller and more powerful. It is necessary to analyze entire components to exclude failures from short circuits, cold solder joints, or pores in heat transfer materials.
Understanding the local material properties is necessary for downsizing and optimization of mechanically stressed parts and the production process. Hence it is important to know the exact positions of cracks, pores and inhomogeneities of materials to judge the durability of components and the quality of the production.