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July 20, 2026
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A team of Russian researchers, including scientists from HSE University–St Petersburg, has developed the first open multimodal dataset containing recordings of brain activity, heart function, and video observations to help researchers understand what happens in the human brain during deep concentration. In the future, the dataset could accelerate the development of neural interfaces, rehabilitation technologies, and AI systems. The article has been published in Scientific Data.
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Investigation of Filtering and Sensing Properties of Complementary Metamaterial Resonant Cells by Computer Simulation

Journal of Physics: Conference Series. 2021. No. 1740. Article 012023.
Skuridin A., Yelizarov (Elizarov) A. A., Nazarov I., Zakirova E.

In this paper we propose a resonant structure based on complementary metamaterial that can be used to control and monitor parameters of a material under test. We used CST Studio Suite to create a computer model of the proposed device and simulate it performance. The performance of the sensor is characterized by its scattering parameters that can be calculated by simulation. The results obtained are then analyzed and used to derive the relation between the sensor’s resonant frequency and the characteristics of the analyte. The proposed resonant structure and method can be used for nondestructive evaluation of dielectric substances, defect control, monitoring and measurement applications.

Priority areas: engineering science
Language: English
Full text
DOI
Keywords: computer simulationmetamaterialMetamaterial-based Sensornondestructive evaluation
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