I. V. Grigoryan, L. A. Antiufrieva, A. P. Grigoryan, A. A. Korigodskii, C. Junyang, Y. Shuxiong, V. A. Pigareva, A. E. Tishchenko, G. B. Khomutov, A. V. Sybachin
{"title":"Application of Machine Learning for Predicting Phase Behavior of Interpolyelectrolyte Complexes in Water–Salt Media","authors":"I. V. Grigoryan, L. A. Antiufrieva, A. P. Grigoryan, A. A. Korigodskii, C. Junyang, Y. Shuxiong, V. A. Pigareva, A. E. Tishchenko, G. B. Khomutov, A. V. Sybachin","doi":"10.1134/S1061933X25600137","DOIUrl":null,"url":null,"abstract":"<p>Water–salt solutions of interpolyelectrolyte complexes (IPECs) represent a classical example of “smart” systems, the phase equilibrium in which is regulated by many factors associated with both the parameters of the polymer components and the physical and chemical properties of an environment. This paper presents a model created on the basis of machine learning for predicting the region of existence of water-soluble IPECs. An approach is proposed for independent account of the physicochemical properties of polyelectrolytes and the properties of the environment. The developed model is universal and can be used to predict the properties of multicomponent systems of various chemical natures.</p>","PeriodicalId":521,"journal":{"name":"Colloid Journal","volume":"87 3","pages":"340 - 351"},"PeriodicalIF":1.1000,"publicationDate":"2025-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Colloid Journal","FirstCategoryId":"92","ListUrlMain":"https://link.springer.com/article/10.1134/S1061933X25600137","RegionNum":4,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"CHEMISTRY, PHYSICAL","Score":null,"Total":0}
引用次数: 0
Abstract
Water–salt solutions of interpolyelectrolyte complexes (IPECs) represent a classical example of “smart” systems, the phase equilibrium in which is regulated by many factors associated with both the parameters of the polymer components and the physical and chemical properties of an environment. This paper presents a model created on the basis of machine learning for predicting the region of existence of water-soluble IPECs. An approach is proposed for independent account of the physicochemical properties of polyelectrolytes and the properties of the environment. The developed model is universal and can be used to predict the properties of multicomponent systems of various chemical natures.
期刊介绍:
Colloid Journal (Kolloidnyi Zhurnal) is the only journal in Russia that publishes the results of research in the area of chemical science dealing with the disperse state of matter and surface phenomena in disperse systems. The journal covers experimental and theoretical works on a great variety of colloid and surface phenomena: the structure and properties of interfaces; adsorption phenomena and structure of adsorption layers of surfactants; capillary phenomena; wetting films; wetting and spreading; and detergency. The formation of colloid systems, their molecular-kinetic and optical properties, surface forces, interaction of colloidal particles, stabilization, and criteria of stability loss of different disperse systems (lyosols and aerosols, suspensions, emulsions, foams, and micellar systems) are also topics of the journal. Colloid Journal also includes the phenomena of electro- and diffusiophoresis, electro- and thermoosmosis, and capillary and reverse osmosis, i.e., phenomena dealing with the existence of diffusion layers of molecules and ions in the vicinity of the interface.