Author(s):
1. Sanja Armaković, Univerzitet u Novom Sadu, Prirodno-matematički fakultet, Departman za fiziku, Serbia

Abstract:
The topic will cover the innovative application of polymers in water purification, integrating experimental methods, modeling, and machine learning to enhance efficiency and effectiveness. Polymers offer unique properties that can be used to remove contaminants from water, presenting a promising solution to global water quality challenges. The study involves a comprehensive approach, beginning with the synthesis and characterization of various polymers adjusted for water purification. Furthermore, the results of the experimental tests of the performance of these polymers in removing specific contaminants, such as pharmaceuticals, dyes, and pesticides, will be analyzed. Computational simulations of the interactions between polymers and contaminants, providing insights into the mechanisms of interaction, will be analyzed in detail. These models help optimize polymer structures and conditions, reducing the need for extensive trial-and-error experiments. In parallel, machine learning techniques will analyze experimental data, identify patterns, and predict polymer performance under different conditions. The integration of experiments, modeling, and machine learning not only advances the understanding of polymer-based water purification but also establishes a framework for future research in the field. The literature results highlight the potential of polymers as versatile and efficient agents for improving water quality, addressing both current and emerging contaminants.

Key words:
Contaminant removal,Sustainable water resources,Advanced materials,Predictive modeling

Thematic field:
SYMPOSIUM A - Science of matter, condensed matter and physics of solid states

Date of abstract submission:
25.07.2024.

Conference:
Contemporary Materials 2024 - Savremeni Materijali

Applied paper from author