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The SIBUR Innovations Research and Development Center has begun implementing artificial intelligence to automate experimental data analysis. Using AI tools will speed up analytical testing up to seven times. This will accelerate the development of new materials and specialized components necessary for flexible control of the properties of modern synthetic materials and ensure the industry's technological independence.
SIBUR utilizes Russian software solutions for automated image analysis tools used in material structure and particle morphology studies. Trained models automatically identify objects in images and perform quantitative analysis in seconds, ensuring highly reproducible results. A comparison of automated and manual analysis revealed a high agreement rate of over 85% for key quantitative parameters. The success of AI depends on the competence and professionalism of the specialist training and operating it. In this case, the initial stage is crucial, requiring the operator to be meticulous and precise in their markings, which directly impacts the model's training results.
Dmitry Afanasyev, Director of Analytical Research and Development at the SIBUR Innovations Research Center:
"Digitalization of experimental data analysis allows us to significantly accelerate scientific research and improve its efficiency. Automated image processing reduces the time to obtain results and reduces the impact of human error, which is especially important when working with large data sets. This allows our researchers to more quickly test hypotheses and accelerates the development of new materials and technologies."
The development of digital solutions in research and development is part of SIBUR's systemic strategy. The company is actively testing and implementing artificial intelligence methods in scientific processes, including for predicting structure-property relationships, virtual catalyst screening, selecting synthesis conditions, and reducing the number of laboratory experiments, which should significantly accelerate the development of new products and materials. Research is being conducted in collaboration with leading universities, and the developed approaches are designed to radically reduce the time required to design and manage complex scientific and production tasks, strengthening technological independence and expanding the company's scientific foundation.
Note: This story has not been edited by The Polymerupdate Editorial team and is auto-generated from a syndicated feed.
