DepartmentsChemistryScientific activity

Green Technology Research Laboratory

Purpose - To conduct interdisciplinary research in catalysis, geochemistry, ore processing and industrial wastes using information technology and green chemistry principles.

Objectives:

- research of structure and composition of industrial wastes;

- obtaining catalysts for chemical processes on the basis of industrial wastes and natural resources of Kazakhstan;

- geochemical studies of pollution distribution in soil and air;

- obtaining new chemical products from mineral raw materials;

- development of applied application of machine learning methods in the field of chemistry and earth sciences;

- development of application of green chemistry principles in applied research;

- development of methods and directed synthesis of chemical compounds with specified functional properties and creation of new promising nanomaterials;

- research of physical and chemical bases of nature management on the principles of "green chemistry";

- creation of new resource- and energy-saving processes;

- development of energy and resource-saving chemical technologies, alternative and renewable energy sources and materials for energy production;

- commercialization of the results of scientific and scientific-technical activity;

- training of scientific personnel;

- implementation of research results in the educational process and production.

Collaboration

Researchers in the laboratory have close research links with leading scientists and specialists from the following educational and research centers:

University of Reading (UK)
Abo Akademi University (Finland)
COMSTECH (Pakistan)
Al-Farabi KazNU (Kazakhstan)
Institute of Chemical Physics Problems of the Russian Academy of Sciences (Russia);
Cavendish Laboratory, University of Cambridge (UK);
University of Warsaw (Poland);
University of Oradea (Romania);
University of Warwick (UK);
Pavlodar Pedagogical University (Kazakhstan);
Institute of Fuel, Catalysis and Electrochemistry named after D.V. Sokolsky (UK). D.V. Sokolsky Institute of Fuel, Catalysis and Electrochemistry (Kazakhstan).
Atyrau University named after. Kh. Dosmukhamedov Atyrau University (Kazakhstan);
Kyzylorda State University named after Korkyt Ata (Kazakhstan). Korkyt Ata (Kazakhstan).

Projects

1.1 Name of the project topic: Monitoring and mapping of the ecological state of the air environment of Pavlodar city with the use of machine learning methods

1.2 Name of the priority direction of science development "2. Rational use of water resources, fauna and flora, ecology".

1.3 Name of specialized scientific direction, type of research. "2.5 Development of geoinformation systems and monitoring of environmental objects", applied research.

1.4. Project start and completion date, 01.02.2023 - 31.12.2025, total - 35 months

1.5 Approved amount of grant financing (for the whole term of project realization and by years, in thousand tenge). 84,209,441 thousand tenge, including by years:

2022 - 27,470,177 thousand tenge;

2023 - 29,258,293 thousand tenge;

2024 - 27,480.971 thousand tenge.

The main idea of the project is that the spatial distribution and periodicity of fluctuations in the concentration of pollutants PM2.5, PM10, O3, NO2, SO2, CO in the air environment and air quality index (AQI or AQI) of Pavlodar city will be studied. Data will be obtained from stationary stations and portable devices. Machine learning models will be built from the data using neural network and gradient bousting methods. Machine learning is used to model the spatial distribution of pollutants and to identify patterns of change in pollutant content over time. Computer modeling will allow to simulate air quality parameters in different locations of Pavlodar city, to build maps of pollutants distribution, to identify the main trends of their distribution.

Project objective - To perform spatial and temporal analysis of pollutant content in the air of Pavlodar city in accordance with the Global Global Monitoring Report. Pavlodar in accordance with the WHO Global Recommendations on air quality using machine learning methods.

Project Objectives:

To study the urban air quality assessment methodologies used in the global scientific community. Analytical review of air quality assessment techniques, including those in accordance with WHO recommendations, will be performed.
To develop a strategy and map of sampling in the territory of Pavlodar city for analysis and monitoring of pollutant content in the air, to select tools for mapping and to perform zoning of the city territory for correct spatial analysis and monitoring.
To analyze the air of Pavlodar city for PM2.5, PM10, O3, NO2, SO2, CO in specified locations using portable equipment. Measurements will be made in 100 distributed points on the territory of the city. Measurements will be made in different periods: winter, spring, summer, fall, taking into account different times of day: morning (07:00), day (15:00), evening (21:00). The obtained data will be used for interpolation with subsequent development of machine learning models, to realize further tasks on analyzing the spatial distribution of pollutants.
to monitor the concentration of pollutants PM2.5, PM10, O3, NO2, SO2, CO in the air of Pavlodar using a stationary station. Pavlodar using stationary equipment. 5 stationary posts will be placed on the territory of the city. The obtained data will be used to train a neural network model capable of predicting changes in the concentration of pollutants over time.
Create and test a number of machine learning models to analyze the spatial distribution of pollutants, as well as to analyze and predict changes in pollutant concentrations over time. Each model will undergo a validation phase. The most accurate model will be used for modeling, mapping and spatial analysis of pollutants.
To make maps of spatial distribution of pollutants and AQI on the territory of Pavlodar city: according to the results of mobile sessions of measurements, as well as an integral map expressing the general tendency of pollution distribution on the basis of all measurements. Including the maps will be built taking into account the data obtained by calculations using the most effective developed machine learning models.
compile time series of fluctuations of pollutant concentrations and AQI on the territory of Pavlodar city based on the results of monitoring at stationary stations: for each station, as well as an integral time series based on data from all stations.
to select methods of visualization of changes in pollutant content in time and space. Visualization is necessary for analysis and forecasting of changes in pollutant concentration in space and time.
Analyze spatial distribution and time series, which will allow to identify the main trends in the distribution of pollutants, to make a conclusion about the ecological state of the air environment of Pavlodar.
Develop a project website to publish the results obtained, monitoring data and forecast of pollutant concentrations. The project website will be developed to provide information on the project results to the public, mass media, potential consumers.
Integrate data with one of the international portals on air quality in the world - iqair.com or waqi.info.

Applications for grant funding

1.1 Name of the project topic.

Processing of manganese raw materials of deposits of Central Kazakhstan with obtaining of new products on the basis of oxide manganese phases

1.2 Name of priority direction of science development, for which the application is submitted.

1. ecology, environment and rational nature use

1.3 Name of the specialized scientific direction for which the application is submitted, type of research. 14. Deep processing of mineral and organic resources;

1.4 The field of research in accordance with the Classifier of Scientific Directions. Natural Sciences; Earth and Environmental Sciences; Earth Sciences.

1.5. Type of research. Applied

1.6 Estimated start and completion date of the project, its duration in months.

04.01.2024 - 31.12.2026, total - 36 months.

1.7 Requested amount of grant financing (for the whole project implementation period and by years, in thousand tenge). 119,845.441 thousand tenge, including by years:

for 2024 - 33,944,852 thousand tenge;

for 2025. - 42,919,810 thousand tenge;

for 2026 - 42 980,779 thousand tenge.

General concept of the project

2.1 Introduction

The main idea of the project is to find new competitive technological products for the Kazakhstani economy for both domestic use and export. Target products will be obtained from manganese ores of Central Kazakhstan deposits - Western Karazhal, Eastern Kamys, Bogach and Zhaksy. According to preliminary data, the obtained products based on oxide manganese phases can be used in the construction industry for coloring ceramic bricks, as well as in sewage treatment plants for catalytic oxidative degradation of toxic volatile organic compounds (VOCs). It is proposed to develop methods for obtaining products from manganese raw materials available in Kazakhstan, as well as to describe the properties and yield of the target products.

2.2 Project Objective

To develop a method of obtaining competitive products based on oxide manganese phases, by thermomechanical treatment of manganese ores from the deposits of Central Kazakhstan.

2.3 Project Objectives

1) To perform a literature review of methods of obtaining and application of manganese oxide phases. At this stage, based on the analysis of scientific and technical literature, at least two target products and promising methods of their production will be selected.

2) To carry out the study of composition and structure of manganese ore raw materials of Western Karazhal, Eastern Kamys, Bogach and Zhaksy deposits. At this stage the information on elemental, phase composition, surface structure of raw materials will be obtained. Ores with the most suitable composition for obtaining target products will be determined.

3) to conduct a study of the influence of heat treatment mode on the yield of oxide manganese phases. At this stage, the main dependences of oxide phases yield on the temperature of thermophysical treatment will be identified to determine the optimal sintering mode.

4) To study the composition and structure of sintering products of manganese ore raw materials by physicochemical methods. Application of such spectral methods as EDX, XRD, XRF, as well as SEM will provide reliable information on the processes of phase transitions in the studied raw materials during thermal treatment.

5) to investigate the influence of high-energy milling mode on the structure and composition of heat-treated manganese raw materials. High-energy milling using a nanomill leads to changes in the structure and properties of materials, including changes in crystallinity and phase composition.

6) Conduct a study on the stability, selectivity and yield of the target products. At this stage, the key values required for the subsequent technological scaling of the processes to the semi-pilot level will be obtained.

7) to carry out the description of the processes of phase transitions in the studied manganese raw material under the influence of thermomechanical treatment. At this stage, the experimental results obtained will be analyzed with the description of the physicochemical basis of the processes taking place.

8) to carry out the research of efficiency of application of the product on the basis of gausmanite manganese phase as a coloring agent for ceramic products. At this stage the results of approbation of the obtained product for application in the construction sphere will be obtained.

9) to investigate the activity of the obtained manganese oxide products in the processes of catalytic oxidative degradation of toxic volatile organic compounds (VOCs). At this stage experimental data of approbation of the obtained product for application in the processes of degradation of toxic pollutants will be obtained.

General Information

1.1 Name of the project topic: Recycling of spent autocatalysts to produce a catalytic system for afterburning of waste gases at flare installations

1.2 Name of the priority direction of science development for which the application is submitted. "1. Ecology, environment and rational nature management".

1.3 Name of the specialized scientific direction for which the application is submitted, area and type of research. "9. Processing and utilization of industrial and domestic waste", Area of research - Natural sciences, type of research - applied research.

1.4 Anticipated start and completion date of the project, its duration in months. 03.01.2024 - 31.12.2026, total - 36 months

1.5 Requested amount of grant financing (for the whole period of project realization and by years, in thousand tenge). 149,748.739 thousand tenge, including by years:

2024 - 41,924,867 thousand tenge;

2025 г. - 53 558,983 thousand tenge;

2026 - 54 264,889 thousand tenge.

1.6. Keywords: catalytic systems, utilization, waste gases, petrochemical enterprises, environment.

General concept of the project

2.1 Introduction

The main idea of the project is to propose a method of obtaining a new catalytic system based on waste autocatalysts to improve the efficiency of combustion of waste gases at flares of petrochemical plants with a positive environmental effect. The processing process includes magnetization and separation of autocatalyst waste, roasting and obtaining concentrate. The prepared concentrate is applied to an inert substrate. The obtained catalyst will be tested in the process of combustion of toxic pollutants - components of waste gases. This will make it possible to create a new technological product and efficiently utilize valuable waste from the automotive industry.

2.2 Project Goal

To obtain a new catalytic system based on waste autocatalysts, in order to improve the efficiency of chemical processes during afterburning of waste gases at flares of petrochemical plants with a positive environmental effect.

2.3 Project Objectives:

To conduct a literature review in the field of autocatalyst recycling.
Collect and prepare spent autocatalysts
to carry out physical and chemical analysis of spent catalysts
to investigate the influence of firing conditions on the structure of waste catalysts.
to investigate the influence of the ratio of components in the vapor phase treatment process
to investigate the structure of thermochemically treated autocatalyst after the milling process
to obtain the concentrate of platinum group metals by means of magnetic separation
to investigate catalytic activity and selectivity of the obtained materials in the process of afterburning of waste gases on a model gas mixture
to study the stability of the obtained catalytically active materials in the process of afterburning of waste gases on a model gas mixture
analyze the environmental efficiency of the developed catalytic system

Key researchers:

1) Safarov Ruslan Zairovich.

Hirsch Index (WoS) h=2. Hirsch Index (SCOPUS) h=6. Scopus ID 56458246300. Web of Science ResearcherID number: B-4031-2014. OrcId http://orcid.org/0000-0003-2158-6330

Safarov R.Z. in scientific activity specializes in the issues of ecological chemistry, geochemistry, processing of mineral resources, including ores and technogenic waste. Participated in 12 research projects, including: in 2023-2025 project leader - AP19677560 "Monitoring and mapping of the ecological state of the air environment of Pavlodar with the use of machine learning methods", 2015 - 2017 was the head of the project - "Development of new catalysts for deep processing of hydrocarbon-containing raw materials on the basis of industrial waste of Aksu ferroalloy plant"; in 2020 - 2021 was the head of the project - "Development of a technology for the production of dyeing agent". VNS in the project "Development of technology for obtaining trimarganets tetraoxide dye from manganese ore of Zhaksylyk and Bogach deposits (Kazakhstan)". There are more than 100 scientific publications, including 16 articles in the SCOPUS database, 8 articles in the Web of Science database, 3 textbooks, 7 patents.

2) Kopishev Eldar Ertaevich

Hirsch Index (WoS) h=1. Hirsch Index (SCOPUS) h=3. Scopus ID 57194512899. Web of Science ResearcherID number: O-4595-2015. OrcId http://orcid.org/0000-0002-7209-2341

Kopishev Eldar Ertaevich Kopishev, Candidate of Chemical Sciences, born in 1981. In 2003 graduated from PSU named after S. Toraigyrov (specialty Chemical technology of inorganic substances). In 2007 graduated from full-time postgraduate course at PSU named after S. Toraigyrov and in 2008 defended his PhD thesis on specialty "02.00.04 - Physical Chemistry". He participated in 3 research projects, including: 2019-2022. - The project of commercialization of the results of scientific and (or) scientific and technical activities #0027-18-GK "Creation of a business ecosystem to support innovative activities in the field of engineering". in 2018-2021. "Development of neural network aspects of intermolecular interaction c involving intelligent polymers as the basis of molecular informatics" (INS); in 2017 - 2019. "Development and realization of a new complex informational educational and career guidance technology". He has more than 80 scientific publications, including 8 articles in the SCOPUS database, 5 articles in the Web of Science database, 1 textbook, 2 monographs, 5 patents.Kopishev Eldar Ertaevich Kopishev, Candidate of Chemical Sciences, born in 1981. In 2003 graduated from PSU named after S. Toraigyrov (specialty Chemical technology of inorganic substances). In 2007 graduated from full-time postgraduate course at PSU named after S. Toraigyrov and in 2008 defended his PhD thesis on specialty "02.00.04 - Physical Chemistry". He participated in 3 research projects, including: 2019-2022. - The project of commercialization of the results of scientific and (or) scientific and technical activities #0027-18-GK "Creation of a business ecosystem to support innovative activities in the field of engineering". in 2018-2021. "Development of neural network aspects of intermolecular interaction c involving intelligent polymers as the basis of molecular informatics" (INS); in 2017 - 2019. "Development and realization of a new complex informational educational and career guidance technology". There are more than 80 scientific publications, including 8 articles in the SCOPUS database, 5 articles in the Web of Science database, 1 textbook, 2 monographs, 5 patents.

Some publications

Safarov, R. Z.; Kargin, J. B.; Aibuldinov, Y. K.; Zhandildenova, A. K.; Makhmutov, B. B.; Sviderskiy, A. K.; Vatin, N. I. Structure and Content Analysis of Raw Materials for Production of Trimanganese Tetraoxide Pigment. Crystals 2021, 11 (12). https://doi.org/10.3390/cryst11121460. Scopus Процентиль 60, Web of Science Q2 (66), CiteScore 2020 3.2, Impact Factor 2020 - 2.589. Ссылка: https://www.scopus.com/record/display.uri?eid=2-s0-85120157223&origin=resultslist
Каргин Д.Б., Сафаров Р.З., Жандильденова А.К., Каматов Р.М. Способ получения гаусманитовой фазы в составе марганцевой руды: патент на полезную модель №6851 РК. - 2022.
Safarov R., Berdenov Z., Urlibay R., Nossenko Y., Shomanova Z., Bexeitova Z., Kulak A., Varga I., Balog A., Domjánné R.N., Lóránt Dénes D. Spatial distribution of elements, environmental effects, and economic potential of waste from the Aksu ferroalloy plant [Kazakhstan] // PLOS ONE. Public Library of Science, - 2023. - Vol. 18, № 4. - P. e0283251. https://doi.org/10.1371/journal.pone.0283251. Scopus процентиль – 87. Web of Science Q2. Impact Factor 2022 - 3.7 Ссылка: https://www.webofscience.com/wos/woscc/full-record/WOS:000990750000044
Shomanova, Z.; Safarov, R.; Tashmukhambetova, Z.; Sassykova, L.; Nosenko, Y.; Mukanova, R. Complex Research of Ferroalloys Production Wastes by Physical And Chemical Methods. Journal of Chemical Technology and Metallurgy 2021, 56 (3), 629–636. Scopus Процентиль 36, CiteScore 2020 1.2, https://www.scopus.com/record/display.uri?eid=2-s2.0-85103481149&origin=resultslist
Safarov, R. Z.; Shomanova, Zh. K.; Nossenko, Yu. G.; Berdenov, Zh. G.; Bexeitova, Zh. B.; Shomanov, A. S.; Mansurova, M. Solving of Classification Problem in Spatial Analysis Applying the Technology of Gradient Boosting CatBoost. Folia Geographica 2020, 62 (1), 112–126. Scopus Процентиль 36, Web of Science Q3 (36.34), CiteScore 2020 0.9, Impact Factor 2020 -https://www.scopus.com/record/display.uri?eid=2-s2.0-85087817220&origin=resultslist; https://www.webofscience.com/wos/woscc/full-record/WOS:000535281100007
Shomanova, Z. K.; Safarov, R. Z.; Zhumakanova, A. S.; Nossenko, Yu. G.; Zhanibekova, A. T.; Shapekova, N. L.; Lóránt, D. Electron Microscopy Surface Study of Catalysts Based on Ferroalloy Production Waste. News of the National Academy of Sciences of the Republic of Kazakhstan-Series chemistry and technology 2018, 6 (432), 79–86. https://doi.org/10.32014/2018.2518-1491.29. https://www.webofscience.com/wos/woscc/full-record/WOS:000454103600010
Shomanova, Zh. K.; Safarov, R. Z.; Shomanov, A. S.; Tleulessov, A. K.; Berdenov, Zh. G.; Lorant, D. Aspects of Assessment of Ecological Impact of an Ash-Sludge Collector of Pavlodar Aluminum Plant (Kazakhstan). Journal of Landscape Ecology (Tájökológiai Lapok) 2019, 17 (1), 47–62. Scopus Процентиль 26, CiteScore 2020 0.6, https://www.scopus.com/record/display.uri?eid=2-s2.0-85088475515&origin=resultslist
Aubakirova, R. A.; Shomanova, Zh. K.; Safarov, R. Z.; Atasoy, E. Atomic Emission Method with Inductively Coupled Plasma for Determining of Noble Metals (Au, Ag) in Samples of Industrial Blister Copper. News of the National Academy of Sciences of the Republic of Kazakhstan-Series chemistry and technology 2019, 4 (436), 53–59. https://doi.org/10.32014/2019.2518-1491.43. https://www.webofscience.com/wos/woscc/full-record/WOS:000478012400009
Aubakirova, R. A.; Shomanova, Zh. K.; Safarov, R. Z.; Atasoy, E. Analysis of Copper-Containing Products for the Content of Noble Metals. News of the National Academy of Sciences of the Republic of Kazakhstan-Series chemistry and technology 2019, 4 (436), 60–65. https://doi.org/10.32014/2019.2518-1491.44. https://www.webofscience.com/wos/woscc/full-record/WOS:000478012400010
Azhayev, G.; Esimova, D.; Sonko, S. M.; Safarov, R. Z.; Shomanova, Zh. K.; Sambou, A. Geoecological Environmental Evaluation of Pavlodar Region of the Republic of Kazakhstan as a Factor of Perspectives for Touristic Activity. GeoJournal of Tourism and Geosites 2020, 28 (1), 104–113. https://doi.org/10.30892/gtg.28108-455. Scopus Процентиль 64, CiteScore 2020 2.2, https://www.scopus.com/record/display.uri?eid=2-s2.0-85079639444&origin=resultslist
Suleymenov I.E., Sedlakova Z.Z., Kopishev E.E. New Polymer Materials for Optical Sensor Systems // Journal of Inorganic and Organometallic Polymers and Materials. Springer US, - 2019. - Vol. 29, № 3. - P. 758–764. Web of Science Q2 - https://doi.org/10.1007/s10904-018-1049-7.
Suleimenov I., Egemberdieva Z., Bakirov A., Baipakbayeva S., Kopishev E., Mun G. Efficiency Problem of renewable energetics systems in the context of «smart house» concept // E3S Web of Conferences / ed. Zheltenkov A., Mottaeva A. - 2020. - Vol. 164. - P. 13002. Процентиль 25 - https://doi.org/10.1051/e3sconf/202016413002.
Seidaliyeva A.B., Niyazova G.B., Kopishev E.E., Vitulyova E.S., Kabdushev S.B., Baipakbayeva S.T., Bakirov A.S., Suleimenov I.E. Small Green Energy: Implementation through Gamification of the Educational Process // Proceedings of the 7th World Congress on New Technologies. - 2021. - P. 1–7. https://doi.org/10.11159/icert21.117.
Suleimenov I., Kadyrzhan K., Kabdushev S., Bakirov A., Kopishev E. New Equipment for Aromatherapy and Related Mobile App: A Tool to Support Small Peasant Farms in Kazakhstan in Crisis // Smart Innovation, Systems and Technologies / ed. Shamtsyan M., Pasetti M., Beskopylny A. Springer Nature Singapore Pte Ltd, - 2022. - P. 347–355. Процентиль 19 - https://doi.org/10.1007/978-981-16-3844-2_32.
Kabdushev S., Kadyrzhan K., Vitulyova Y., Bakirov A., Kopishev E., Suleimenov I. Floating Focusing System Based on Polymer Films: A New Example of a Smart Energy System // 2022 2nd International Conference on Robotics, Automation and Artificial Intelligence (RAAI). IEEE, - 2022. - P. 1–6. https://doi.org/10.1109/RAAI56146.2022.10092955.
Keldibekova R., Suleimenova S., Nurgozhina G., Kopishev E. Interpolymer Complexes Based on Cellulose Ethers: Application // Polymers. - 2023. - Vol. 15, № 15. - P. 3326. Web of Science Q1 - https://doi.org/10.3390/polym15153326.
Pligin E.I., Lavysh A. V., Lugovskii A.A., Voropay E.S., Kopishev É.E., Maskevich A.A. Luminescence Spectral Properties of New Benzothiazole Polymethine Dye // Journal of Applied Spectroscopy. - 2023. - Vol. 89, № 6. - P. 762–769. Web of Science Q4 - https://doi.org/10.1007/s10812-023-01461-6.
Kabdushev S., Mun G., Suleimenov I., Alikulov A., Shaikhutdinov R., Kopishev E. Formation of Hydrophobic–Hydrophilic Associates in the N-Vinylpyrrolidone and Vinyl Propyl Ether Copolymer Aqueous Solutions // Polymers. - 2023. - Vol. 15, № 17. - P. 3578. Web of Science Q1 - https://doi.org/10.3390/polym15173578.
Kopishev E.E., Syzdykov A. Virtual chemistry laboratories for the undergraduate students of Kazakhstan // Вестник ПГУ, Педагогическая серия. - 2018. № 2. - P. 226–234.
Сулейменов И.Э., Копишев Э.Е., Витулева Е.С., Мун Г.А. Some aspects of the development of formalism of nonequilibrium thermodynamics for systems based on polyelectrolyte hydrogels // BULLETIN of the L.N. Gumilyov Eurasian National University. Chemistry. Geography. Ecology Series. - 2018. - Vol. 125, № 4. - P. 19–27. https://doi.org/10.32523/2616-6771-2018-124-4-19-27.
Копишев Э.., Сулейменов И.Э., Пак И.Т., Шалтыкова Д.Б., Матрасулова Д., Бакиров А., Молдахан И., Копишев И.Е. Функционирование нейронных сетей с точки зрения теории помехоустойчивых кодов // Вестник ПГУ. Серия энергетическая. - 2019. - Vol. 2. - P. 241–256.
Копишев Э.Е., Сулейменов И.Э., Байпакбаева С.Т., Игликов И.В., Нуртазин А. Датчики с управляемой чувствительностью для телемедицинских систем на основе полиэлектролитных гидрогелей // Вестник ПГУ, Серия энергетическая. - 2019. - Vol. 1. - P. 222–229.
Сулейменов И.Э., Молдажанова A.А., Копишев Э.Е., Байпакбаева С.Т., Ниязова Г.Б. К вопросу о новой парадигме химико-технологического образования в РК // Вестник ПГУ, Серия Педагогическая. - 2019. - Vol. 1. - P. 308–321.
Сулейменов И.Э., Копишев Э.Е., Пак И.Т., Бакиров А., Молдахан И., Сапанова Э., Копишев И.Е. Дискретизация весовых коэффициентов нейронных сетей // Вестник ПГУ. Серия энергетическая. - 2019. - Vol. 2. - P. 331–346.
Сулейменов И.Э., Байпакбаева С.Т., Копишев Э.Е., Евстифеев В.Н., Мун Г.А. Скалярная теория радиотехнических систем дезинфекции и очистки воздуха // Вестник ПГУ. Серия энергетическая. - 2020. № 2. - P. 402–417.
Сулейменов И.Э., Кабдушев Ш.Б., Кадыржан Қайсарәлі Н., Искаков Р.А., Копишев Э.Е. ОБОСНОВАНИЕ КОМПЛЕКСНОГО ПОДХОДА К РАЗРАБОТКЕ И ИСПОЛЬЗОВАНИЮ СРЕДСТВ АРОМАТЕРАПИИ // Bulletin of Toraighyrov University. Energetics series. - 2021. № 2,2021. - P. 166–179. https://doi.org/10.48081/OWBR5967.