The integration of machine learning (ML) techniques in material science has revolutionized the analysis and prediction of the properties of polymer nanocomposite materials. These advanced materials, which consist of polymer matrices embedded with nanoparticles, exhibit enhanced mechanical, thermal, and electrical properties. Traditional experimental methods for characterizing these properties are often resource-intensive and time-consuming. Consequently, machine learning models have been increasingly utilized to predict the material behavior of polymer nanocomposites, offering significant improvements in efficiency, accuracy, and optimization. This paper examines various ML algorithms, including regression models, classification techniques, neural networks, and ensemble learning approaches, in the context of predicting material properties such as tensile strength, thermal stability, and electrical conductivity.

:machine learning, polymer nanocomposites, property prediction, material optimization, regression models, neural networks

Belokurova, AP Thermomechanical method of researching polymers: Chemistry of polymers and

Methodical instruction for laboratory exercises in physics. Belokurov, V.A. Burmistrov, T.A. Ageeva. - Ivanovo, 2006

Turshatov, A.A. Thermomechanical properties of polymers / A.A. Turshatov. - N. Novgorod: UNN, 2005

Teitelbaum, B. Ya. Thermomechanical analysis of polymers / B.Ya. Teitelbaum. - M: Science, 1979

Isamutdinova, D. (2024, October). MILLIY TARIX VA MADANIYATNI AKS ETTIRUVCHISI SIFATIDA O’XSHATISHLAR. In INTERNATIONAL CONFERENCE ON MODERN DEVELOPMENT OF PEDAGOGY AND LINGUISTICS (Vol. 1, No. 9, pp. 38-41).

Marifjanovna, I. D. (2024). INGLIZ TILINI ORGANISHNING SAMARALI USULLARI. SCIENTIFIC APPROACH TO THE MODERN EDUCATION SYSTEM, 3(28), 36-37.

Marifjanovna, I. D. (2024). NEMIS TILINI ORGANISHNING SAMARALI USULLARI. PEDAGOG, 7(9), 138-139.

Maripfjanovna, I. D. (2024, June). The Importance of Poems and Songs in the Development of German Vocabulary in Young Children. In Interdisciplinary Conference of Young Scholars in Social Sciences (USA) (Vol. 8, pp. 1-3).

Durdona, I. (2024). INTERAKTIV TEXNOLOGIYALARNING CHET TILI OʻQITISHDAGI OʻRNI. СОВРЕМЕННОЕ ОБРАЗОВАНИЕ И ИССЛЕДОВАНИЯ, 1(1), 227-232.

Isamutdinova, D. (2024). INNOVATSION PEDAGOGIK TEXNALOGIYA ASOSIDA CHET TILI DARSLARINI TASHKIL QILISH. СОВРЕМЕННОЕ ОБРАЗОВАНИЕ И ИССЛЕДОВАНИЯ, 1(1), 86-89.

Isroilova, H., & Isamutdinova, D. (2024). INNOVATSION PEDAGOGIK TEXNOLOGIYA ASOSIDA DARSLARNI TASHKIL QILISH. MODERN EDUCATIONAL SYSTEM AND INNOVATIVE TEACHING SOLUTIONS, 1(2), 218-223.

Isamutdinova, D. (2024). LANGUAGE AS A CULTURAL HERITAGE. Экономика и социум, (4-1 (119)), 175-179.

Аблаева, Н. К., & Зулунова, К. К. (2024). ТЕМА" МАЛЕНЬКОГО ЧЕЛОВЕКА" В ПРОИЗВЕДЕНИЯХ ПУШКИНА (" ПОВЕСТИ БЕЛКИНА"). НАУЧНО-ТЕОРЕТИЧЕСКИЙ ЖУРНАЛ “MA'MUN SCIENCE”, 2(1).

Аблаева, Н. К. (2023). МНОГООБРАЗИЕ ТЕМ В ПОЭЗИИ БАБУРА. O'ZBEKISTONDA FANLARARO INNOVATSIYALAR VA ILMIY TADQIQOTLAR JURNALI, 2(16), 566-569.

Аблаева, Н. К., & Атаназарова, Х. М. (2024). ПЕЙЗАЖНАЯ ЛИРИКА ФЕТА. JOURNAL OF INTERNATIONAL SCIENTIFIC RESEARCH, 1(4), 188-193.

Аблаева, Н. К., & Хасанова, Ш. К. (2024). АФОРИЗМЫ В ПРОИЗВЕДЕНИЯХ ГРИБОЕДОВА (" ГОРЕ ОТ УМА"). YANGI O ‘ZBEKISTON, YANGI TADQIQOTLAR JURNALI, 1(4), 264-268.

Аблаева, Н. К. (2024). «НАРОДНАЯ ДРАМА» АН ОСТРОВСКОГО «ГРОЗА» В КОНТЕКСТЕ ФОЛЬКЛОРНЫХ И ОБРЯДОВЫХ ТРАДИЦИЙ. YANGI O ‘ZBEKISTON, YANGI TADQIQOTLAR JURNALI, 1(3), 24-29.

Аблаева, Н. К., & Сапарбаева, С. Б. (2024). ГЕРОЙ НАШЕГО ВРЕМЕНИ”-ПСИХОЛОГИЧЕСКИЙ РОМАН РУССКОЙ ЛИТЕРАТУРЫ. Miasto Przyszłości, 46, 693-697.

Аблаева, Н. К. (2023). «ТЕНЬ МОЯ НА СТЕНАХ ТВОИХ».(Восточные мотивы в творчестве Анны Ахматовой). НАУЧНО-ТЕОРЕТИЧЕСКИЙ ЖУРНАЛ “MA'MUN SCIENCE”, 1(1).