Rapid discovery of high-strength, high-temperature materials using high-throughput screening.
Next-generation high-temperature materials discovered through rapid, data-driven workflows.
What we’ve been up to…
The RADISH Project
The RADISH workflow brings together computation, rapid experimentation, and machine learning to accelerate the discovery of high-temperature alloys. The process is iterative, allowing each cycle to refine the search and focus on the most promising compositions.
About RADISH
RADISH is built on strong collaborations with scientific partners in Poland and around the world, including Empa, ETH Zürich, Max Planck Institutes, TWI, and leading Polish universities. Together, we are establishing a comprehensive materials database, predictive AI tools, and a new methodology for rapid alloy discovery.
By integrating modern computational and experimental tools into an iterative, high-speed workflow, RADISH dramatically shortens the typical materials development timeline—from years to months—laying the foundation for the high-temperature technologies of the future.
