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<article article-type="research-article" dtd-version="1.3" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xml:lang="en"><front><journal-meta><journal-id journal-id-type="publisher-id">najo</journal-id><journal-title-group><journal-title xml:lang="en">Nanosystems: Physics, Chemistry, Mathematics</journal-title><trans-title-group xml:lang="ru"><trans-title>Наносистемы: физика, химия, математика</trans-title></trans-title-group></journal-title-group><issn pub-type="ppub">2220-8054</issn><issn pub-type="epub">2305-7971</issn><publisher><publisher-name>Университет ИТМО</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.17586/2220-8054-2024-15-6-742-748</article-id><article-id custom-type="elpub" pub-id-type="custom">najo-117</article-id><article-categories><subj-group subj-group-type="heading"><subject>Research Article</subject></subj-group><subj-group subj-group-type="section-heading" xml:lang="en"><subject>MATHEMATICS</subject></subj-group><subj-group subj-group-type="section-heading" xml:lang="ru"><subject>МАТЕМАТИКА</subject></subj-group></article-categories><title-group><article-title>Qualitative properties of the mathematical model of nonlinear cross-diffusion processes</article-title><trans-title-group xml:lang="ru"><trans-title>Качественные свойства математической модели нелинейных кросс-диффузионных процессов</trans-title></trans-title-group></title-group><contrib-group><contrib contrib-type="author" corresp="yes"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0003-2471-4836</contrib-id><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Муминов</surname><given-names>С.</given-names></name><name name-style="western" xml:lang="en"><surname>Muminov</surname><given-names>S.</given-names></name></name-alternatives><bio xml:lang="en"><p>Sokhibjan Muminov</p><p>Bolkhovuz street 2, Khiva 220900</p><p>Khamid Alimjan street 14, Urgench 220100</p></bio><email xlink:type="simple">sokhibjan.muminov@mamunedu.uz</email><xref ref-type="aff" rid="aff-1"/></contrib><contrib contrib-type="author" corresp="yes"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0001-7556-8942</contrib-id><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Агарвал</surname><given-names>П.</given-names></name><name name-style="western" xml:lang="en"><surname>Agarwal</surname><given-names>P.</given-names></name></name-alternatives><bio xml:lang="en"><p>Praveen Agarwal</p><p>Ajman, UAE</p><p>Jaipur 303012</p><p>Jaipur-302029</p></bio><email xlink:type="simple">praveen.agarwal@anandice.ac.in</email><xref ref-type="aff" rid="aff-2"/></contrib><contrib contrib-type="author" corresp="yes"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0003-2154-4157</contrib-id><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Мухамедиева</surname><given-names>Д.</given-names></name><name name-style="western" xml:lang="en"><surname>Muhamediyeva</surname><given-names>D.</given-names></name></name-alternatives><bio xml:lang="en"><p>Dildora Muhamediyeva – Department of Software of Information Technologies</p><p>Amir Temur Avenue 108, Tashkent 100084</p></bio><email xlink:type="simple">matematichka@inbox.ru</email><xref ref-type="aff" rid="aff-3"/></contrib></contrib-group><aff xml:lang="en" id="aff-1"><institution>Mamun university; Urgench state university</institution><country>Uzbekistan</country></aff><aff xml:lang="en" id="aff-2"><institution>Nonlinear Dynamics Research Center (NDRC); Department of Mathematics, Anand International College of Engineering; International Center for Basic and Applied Sciences</institution><country>India</country></aff><aff xml:lang="en" id="aff-3"><institution>Tashkent University of information technologies named after Muhammad Al-Khwarizmi</institution><country>Uzbekistan</country></aff><pub-date pub-type="collection"><year>2024</year></pub-date><pub-date pub-type="epub"><day>05</day><month>06</month><year>2025</year></pub-date><volume>15</volume><issue>6</issue><fpage>742</fpage><lpage>748</lpage><permissions><copyright-statement>Copyright &amp;#x00A9; Muminov S., Agarwal P., Muhamediyeva D., 2025</copyright-statement><copyright-year>2025</copyright-year><copyright-holder xml:lang="ru">Муминов С., Агарвал П., Мухамедиева Д.</copyright-holder><copyright-holder xml:lang="en">Muminov S., Agarwal P., Muhamediyeva D.</copyright-holder><license xml:lang="ru" license-type="creative-commons-attribution" xlink:href="https://creativecommons.org/licenses/by/4.0/" xlink:type="simple"><license-p>Данная работа распространяется под лицензией Creative Commons Attribution 4.0.</license-p></license><license xml:lang="en" license-type="creative-commons-attribution" xlink:href="https://creativecommons.org/licenses/by/4.0/" xlink:type="simple"><license-p>This work is licensed under a Creative Commons Attribution 4.0 License.</license-p></license></permissions><self-uri xlink:href="https://nanojournal.ifmo.ru/jour/article/view/117">https://nanojournal.ifmo.ru/jour/article/view/117</self-uri><abstract><p>The work is devoted to developing a self-similar solution for a system of nonlinear differential equations that describe diffusion processes. Various techniques are used to examine the capacity for generating self-similar solutions that can estimate and predict system behavior under diffusion conditions. The focus is on developing and applying numerical algorithms, as well as using theoretical tools such as asymptotic analysis, to obtain more accurate and reliable results. The study’s results can be applied to various scientific and technical fields, such as physics, chemistry, biology, and engineering, where diffusion processes play an essential role. The development of self-similar solutions for systems of nonlinear differential equations related to diffusion opens novel opportunities for modeling and analyzing complex systems and enhancing diffusion processes in various fields.</p></abstract><trans-abstract xml:lang="ru"><p>Работа посвящена разработке самоподобного решения для системы нелинейных дифференциальных уравнений, описывающих процессы диффузии. Различные методы используются для изучения возможности генерации самоподобных решений, которые могут оценивать и предсказывать поведение системы в условиях диффузии. Основное внимание уделяется разработке и применению численных алгоритмов, а также использованию теоретических инструментов, таких как асимптотический анализ, для получения более точных и надежных результатов. Результаты исследования могут быть применены в различных научных и технических областях, таких как физика, химия, биология и инженерия, где процессы диффузии играют существенную роль. Разработка самоподобных решений для систем нелинейных дифференциальных уравнений, связанных с диффузией, открывает новые возможности для моделирования и анализа сложных систем и улучшения процессов диффузии в различных областях.</p></trans-abstract><kwd-group xml:lang="ru"><kwd>нелинейная система</kwd><kwd>диффузия</kwd><kwd>автомодельное решение</kwd><kwd>поток</kwd><kwd>модель</kwd><kwd>алгоритм</kwd><kwd>параболическое дифференциальное уравнение</kwd></kwd-group><kwd-group xml:lang="en"><kwd>nonlinear system</kwd><kwd>diffusion</kwd><kwd>self-similar solution</kwd><kwd>flow</kwd><kwd>model</kwd><kwd>algorithm</kwd><kwd>parabolic differential equation</kwd></kwd-group></article-meta></front><back><ref-list><title>References</title><ref id="cit1"><label>1</label><citation-alternatives><mixed-citation xml:lang="ru">Samarsky A.A., Mikhailov A.P. Mathematical Modeling, Fizmatlib, Moscow, 2001, 320 p.</mixed-citation><mixed-citation xml:lang="en">Samarsky A.A., Mikhailov A.P. 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