Publications by authors named "I I Novikov"

Two-spotted spider mite Tetranychus urticae Koch (Acari: Tetranychidae) is one of the most dangerous pests in the world and one of the most pesticide-resistant species ever. Complex biological preparations are of great interest for the acaricide market because they do not poison ecosystems and do not bioaccumulate in food products, simultaneously, pests more slowly develop resistance to complex preparations. In this study we applied complex bioformulation composed of 11-mer antisense oligonucleotide (oligonucleotide acaricide or DNA acaricide) Tur-3 and fungus Metarhizium robertsii for T.

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Inspired by the recent success of machine-learned interatomic potentials for crystal structure prediction of inorganic crystals, we present a methodology that exploits moment tensor potentials (MTP) and active learning (based on maxvol algorithm) to accelerate structure prediction of molecular crystals. Benzene and glycine are used as test systems. The obtained potentials are able to rank different benzene and glycine polymorphs in good agreement with density-functional theory.

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Carbon nanotubes (CNTs) produced by the floating-catalyst chemical vapor deposition (FCCVD) method are among the most promising nanomaterials of today, attracting interest from both academic and industrial sectors. These CNTs exhibit exceptional electrical conductivity, optical properties, and mechanical resilience due to their binder-free and low-defect structure, while the FCCVD method enables their continuous and scalable synthesis. Among the methodological FCCVD variations, aerosol CVD' is distinguished by its production of freestanding thin films comprising macroscale CNT networks, which exhibit superior performance and practical applicability.

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Today, air pollution is a global environmental problem. A huge amount of explosive and combustible gas emissions that negatively affect nature and human health. Gas sensors are one of the ways to prevent this impact.

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Article Synopsis
  • - This study introduces a cutting-edge acetylene gas sensor using carbon nanotubes (CNTs) embedded in polyimide (PI) for real-time monitoring of transformer oils, overcoming limitations of traditional sensors that analyze gas after extraction.
  • - The sensor’s innovative design protects the CNTs from damage and ensures reliable performance for over 6 months, with sensitivity boosted by gold nanoparticles, achieving a notable response rate of 10.5% at 30 ppm and quick recovery times.
  • - Integrating a CNT-PI heater, the sensor maintains a stable operating temperature and shows excellent durability, performing well even after 10,000 bending cycles, making it suitable for industrial transformer applications.
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