Search academic texts

Information × Registration Number 0224U031374, 0122U001979 , R & D reports Title Methods and high-performance technologies of mathematical modeling and functional identification of complex multicomponent systems and processes (nanoporous and nanoscale structures, safe energy objects, cognitive systems) popup.stage_title Head Petryk Mykhailo R., к.т.н. Registration Date 17-04-2024 Organization Ternopil National Technical University named after Ivan Puluj popup.description2  High-performance calculations and identification technologies of model parameters (complex multicomponent systems and processes for nanoporous and nanoscale structures, safe energy objects with absorption of harmful emissions into the atmosphere, and cognitive systems), which ensures the adoption of scientifically based decisions (properties of nanostructures, energy activation, equilibrium, diffusion coefficients in inter- and intraparticle spaces, amplitude-frequency parameters of cognitive signals) is developed. The proposed method of two-dimensional modeling and research by the Monte Carlo method of competitive adsorption in the intracrystalline space of spherical nanoparticles of different sizes simulating diffusion as a Brownian motion of a mixture of small and large adsorbate molecules inside the microporous channel of a zeolite crystallite.. New low-cost methods for identifying diffusion and consolidation coefficients in the intra- and interparticle spaces of nanosystems based on the theory of optimal control have been developed for the implementation of high-performance procedures for identifying model parameters. Spatial adaptive response matrices of the cognitive system and algorithms for calculating the vector values of the weighting coefficients of the influence of the cognitive signals of the EEG sensors of the neuronodes, which determine the parameters of its states depending on the feedback of the influence of certain groups of neuro-objects, were constructed. On the basis of the developed theory of quasi-stationary states and active dynamic conductivity of open nanosystems, artificial intelligence systems (models and software) have been developed to establish the degree of response of electronic systems to external disturbances and to establish the effects of such interaction on the operation and precision parameters of directly functioning nanodevices operating in the infrared range electromagnetic waves. Product Description popup.authors Balaban Stepan M. Bachynskyi Mykhaylo V. Boiko Ihor V. Vasyliv Mykola V. Kovbashyn Vasyl I. Konovalenko Ihor V. Lebovka Mykola I. Mykhalyk Dmytro M. Mudryk Ivan Ya. Pidhurskyi Mykola I. Panchyshyn Inna P. Pleskun Mykhailo I. Romanovska Liliia M. Stadnyk Ihor Ya. Stefanyshyn Volodymyr M. Chyzh Vitalii M. popup.nrat_date 2024-04-17 Close