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 leading scientific partners in Poland and internationally. Through these synergies, we are establishing a comprehensive materials database, developing predictive AI tools, and implementing a new methodology for rapid alloy discovery.

By integrating advanced computational and experimental approaches into an iterative, high-speed workflow, RADISH significantly shortens the traditional materials development cycle—from years to months—laying the foundation for next-generation high-temperature technologies.