• Home
  • Zeinab Sadat Hosseini
  • OpenAccess
    • List of Articles Zeinab Sadat Hosseini

      • Open Access Article

        1 - Polymer processes in the light of artificial intelligence
        Zeinab Sadat Hosseini
        Artificial Intelligence (AI) is transforming the daily life of humans on the planet by entering different fields. This tool has opened a new window on the activists in the field of polymer science and engineering, like other sciences, and it can be widely used in the ma More
        Artificial Intelligence (AI) is transforming the daily life of humans on the planet by entering different fields. This tool has opened a new window on the activists in the field of polymer science and engineering, like other sciences, and it can be widely used in the manufacture of polymers and their derivatives, mixing processes, forming polymers, composites, and designing and manufacturing the related equipment. Artificial intelligence algorithms can enable the analysis of a large and unlimited amount of data obtained from sensors and process monitoring systems. These patterns and methods have provided the ability to process cases that are difficult or impossible to detect manually and are used in modeling and simulation, process control, error detection and recommender systems, and can be used to achieve optimal mixing by considering the properties of the mixture components and technical specifications, can be provided recommendations for the desired product. Artificial intelligence can control the process factors to ensure consistency and uniform dispersion of additives, fillers, and colors, resulting in higher quality mixing and products with optimized properties. It can also help reduce the cycle time without compromising product quality, which can lead to significant cost savings and the greater productivity, and can enable preventative maintenance. In this study, the application of artificial intelligence in some polymer processes was investigated, specifically in the rubber compounding, the composite preparation and the extrusion, which promises a new direction in the polymer processes. Manuscript profile
      • Open Access Article

        2 - Platform for manufacturing and intelligent production of polymers: genome engineering of polymer materials
        Zeinab Sadat Hosseini
        High-performance polymer materials are the foundation of high-level technology development and advanced manufacturing. Recently, polymeric material genome engineering (PMGE) has been proposed as a basic platform for the intelligent production of polymeric materials. Po More
        High-performance polymer materials are the foundation of high-level technology development and advanced manufacturing. Recently, polymeric material genome engineering (PMGE) has been proposed as a basic platform for the intelligent production of polymeric materials. Polymeric Material Genome Engineering (PMGE) is an emerging field that combines the principles of the Materials Genome Initiative with polymer science to accelerate the discovery and development of new polymeric materials. The concept of PMGE is to create a comprehensive database of polymer properties obtained from both computational and experimental methods. This database can then be used to train machine learning models that can predict the properties of new polymers. However, the development of PMGE is still in its infancy and many issues remain to be addressed. Overall, PMGE represents a significant step towards the intelligent manufacturing of polymeric materials, with the potential to revolutionize the field by enabling faster and more efficient development of new materials. In this review are presented the fundamental concepts of PMGE and a summary of recent research and achievements, then are investigated the most important challenges and the future prospects. Specifically, this study focuses on the property prediction approaches, including of the proxy approach and the machine learning, and discusses the potential applications of PMGE, i.e. the advanced composites, the polymer materials used in the communication systems, and electrical integrated circuit manufacturing. Manuscript profile