Submission Deadline: 30 November 2026 View: 382 Submit to Special Issue
Assoc. Prof. Maria Tanase
Email: maria.tanase@upg-ploiesti.ro
Affiliation: Mechanical Engineering Department, Petroleum-Gas University of Ploiesti, Ploiesti, Romania
Research Interests: mechanical engineering, finite element analysis, strength of materials, buckling of structures
Assoc. Prof. Cristina Roxana Popa
Email: ceftene@upg-ploiesti.ro
Affiliation: Automatic Control Computers &Electronics Department, Petroleum-Gas University of Ploiești, Ploiesti, Romania
Research Interests: control structure design, plantwide control, optimal and safe operation of industrial processes, process modeling, advanced control algorithms, catalytic cracking process control
Prof. Dr. Elena-Emilia Sirbu
Email: elena.oprescu@upg-ploiesti.ro
Affiliation: Chemistry Department, Petroleum-Gas University of Ploiesti, Ploiesti, Romania
Research Interests: machine learning, biomass processing
Prof. Dr. Cătălina Călin
Email: catalina.calin@upg-ploiesti.ro
Affiliation: Chemistry Department, Petroleum-Gas University of Ploiesti, Ploiesti, Romania
Research Interests: machine learning, polymers, bioplastics, degradation
Recent advances in materials science have led to the rapid development of advanced polymeric systems, including smart polymers, functionally graded polymers, bio-based and recycled polymer composites, high-performance fiber-reinforced polymers, and additively manufactured polymer structures. These materials often exhibit complex, nonlinear, and multi-scale behaviors that require advanced theoretical and computational approaches for accurate prediction, optimization, and design.
This Special Issue focuses on recent developments in computational modeling techniques for advanced polymeric materials and structures, with particular emphasis on mechanical performance, thermal behavior, durability, wear, stability, and structural optimization. Contributions are encouraged that employ numerical methods, multiphysics simulations, and data-driven approaches, including machine learning and artificial intelligence, to analyze and optimize the behavior of polymer-based materials and polymer-dominated structures.
Topics of interest include, but are not limited to, modeling of polymer composites and fiber-reinforced polymers, recycled and sustainable polymer materials, functionally graded and smart polymer systems, tribological behavior of polymers, additive manufacturing of polymer structures, and machine learning-assisted prediction of polymer properties. The issue aims to provide a platform for innovative theoretical, numerical, and hybrid computational approaches that support the development of high-performance, reliable, and sustainable polymeric materials and structures.
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