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UNIVERSITY OF BUCHAREST
FACULTY OF PHYSICS Guest
2025-07-06 15:27 |
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Conference: Bucharest University Faculty of Physics 2025 Meeting
Section: Polymer Physics
Title:
Advancing Polymer Science Through Fuzzy Logic: Modeling, Prediction, and Intelligent Material Design
Authors:
Valentina MARASCU (1,2), Marius Iulian MIHAILESCU (1), Stefania Loredana NITA (3), Valentin BARNA (4)
Affiliation:
1) Faculty of Engineering and Computer Science, Scientific Research Center in Mathematics and Computer Science, SPIRU HARET University, Bucharest, Romania
2) National Institute for Laser, Plasma and Radiation Physics, 409 Atomistilor Street, RO77125, Magurele, Ilfov, Romania
3) Institute for Computers, Bucharest, Romania
4) Faculty of Physics, University of Bucharest, 405 Atomistilor Street, Magurele, Ilfov, Romania
E-mail
valentina.marascu@gmail.com
Keywords:
polymers; fuzzy theory; algorithms
Abstract:
Fuzzy theory, which was initially introduced to solve the problems of uncertainty, has played a wide and growing role in polymer science. Fuzzy theory has opened up some new aspects and methods on the prediction, classification and control evaluation in polymer research and engineering during the past twenty years. One of the most important successes is the quantification in the modeling of polymerization processes, where Fuzzy Inference Systems (FIS), particularly Adaptive Neuro-Fuzzy Inference Systems (ANFIS), have been used successfully to predict parameter estimation such as molecular weight distribution, degree of polymerization and conversion, among others. Such models have an especial applicability in free-radical polymerizations and copolymerization reactions which suffer from complex kinetics and unknown boundary conditions necessary for deterministic models. For the prediction of phase morphology and interfacial interactions in polymer blends, a hybridization of fuzzy logic with modeling is involved. It is especially successful in screening miscibility and phase separation behavior, by combining qualitative empirical rules with sparse experimental data. Recently the potential of fuzzy approach has been revealed in the design of intelligent polymeric materials including self-healing systems and responsive hydrogels. Where they do not, fuzzy decision-making algorithms play a part in the dynamic tuning of material functions to external stimuli and underpin soft robotics and bioinspired systems.
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