AI-designed Advanced Materials

MatterMind™ is our state-of-the-art AI platform that transforms alloy design by combining machine learning with physics-based modelling. It quickly analyzes vast compositional spaces to predict optimal alloy formulations, uncovering complex, non-linear relationships between elements, processing conditions, microstructures, and material properties. By leveraging extensive datasets and advanced algorithms, MatterMind™ can simultaneously balance multiple design objectives—such as strength, ductility, corrosion resistance, and cost. This enables us to develop high-performance, reliable materials tailored to specific industrial applications, significantly reducing both development time and costs compared to traditional methods.

Cascade™ is our advanced simulation platform that bridges the gap between nano-scale material behaviors and real-world performance. By integrating various simulation techniques across multiple scales, Cascade™ accurately models how microstructural features—like grain size, phase distribution, and defects—influence the overall properties of an alloy. This comprehensive understanding allows us to predict how materials will perform under different conditions before any physical testing. By simulating these behaviors, we can optimize alloy designs more effectively, reducing the need for costly and time-consuming experiments. 

In the materials science sector, data is often scarce. To address this, we generate our own datasets through a combination of experiments and simulations. This approach yields more consistent, higher-quality data across a diverse range of scenarios. As a result, our models, trained on this proprietary data, demonstrate superior performance and reliability.