Russian Scientists Developed AI-System to Create New Industrial Materials
The development has no global analogs.
Russian scientists are developing a unique AI-based system for designing products made from polymer composite materials, according to the press service of Bauman Moscow State Technical University. The digital platform has no equivalents worldwide.
The intelligent system selects materials based on specific operating conditions and evaluates how they will perform under different stresses, including strength and long-term durability.
According to project scientific lead Ivan Storozhuk, head of the Structural Materials Laboratory at Bauman University’s NTI Center, the neural network takes into account more than 40 material parameters. These include anisotropy — differences in fiber properties along, across, and through the material — allowing the system to deliver highly accurate predictions.
Faster Component Design
Deploying the system is expected to cut product design timelines by 30–40 percent and reduce testing time by about 20 percent. University representatives say the technology could be particularly valuable for designing drones, which must be both lightweight and strong. Polymer composite materials are also widely used in energy, transport, construction, and the extractive industries.
The software will make it possible to design not only materials but also finished components based on specified parameters. The development relies entirely on domestically sourced data.
As Evgeny Alexandrov, director of Bauman University’s NTI Center, noted, creating such digital tools lays the groundwork for large-scale adoption of high-performance polymers and composites across industry, including aircraft manufacturing and unmanned systems.
