Invited Lecture on the Application of Neural Networks in Scientific Research

An invited lecture entitled “Neural Networks in Fundamental and Applied Research” was held at the Department of Chemical Physics and Materials Science, Faculty of Chemistry and Chemical Technology, Al-Farabi Kazakh National University.
The lecture was delivered by representatives of Chuvash State University (Russia) — Professor Viktor S. Abrukov and Senior Lecturer Daria A. Anufrieva.
During the meeting, the speakers presented modern approaches to the application of neural networks and computational methods for solving fundamental and applied scientific problems. Particular attention was given to the potential of artificial intelligence for experimental data processing, modelling of complex processes, and identifying optimal solutions in scientific research.
The lecture was highly interactive, with students actively participating in the discussion and asking insightful questions about the application of neural networks in nanochemistry and materials science, chemical engineering, and the study of combustion processes. The discussion also addressed the potential use of neural-network approaches for establishing composition–structure–property relationships, predicting material properties, optimizing synthesis conditions, and analysing experimental data.
An important outcome of the meeting was an agreement to continue scientific and educational collaboration. Professor Viktor Abrukov and Daria Anufrieva expressed their willingness to cooperate with the academic staff of the Department, including through the joint supervision of students’ diploma research projects where neural networks, mathematical modelling, and other computational approaches could be effectively applied.
Potential research topics may include the optimization of synthesis conditions for novel materials, prediction of their properties, analysis of experimental datasets, and modelling and optimization of chemical and technological processes.
This collaboration will provide an opportunity to integrate expertise in chemical physics, materials science, and nanotechnology with modern artificial intelligence and computational methods, while expanding interdisciplinary opportunities for both student and scientific research.
 

Organized by: Department of Chemical Physics and Materials Science, Faculty of Chemistry and Chemical Technology, Al-Farabi Kazakh National University.
Department organizing team: Head of the Department, PhD, Associate Professor Zhandos T. Tauanov; Assistant Professor Sholpan E. Gabdrashova; Associate Professor Zhanar B. Kudyarova.