Gergő Róth, Tibor Nagy, Ákos Kuki, Levente Novák, Dávid Nyul, Miklós Zsuga, Sándor Kéki
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引用次数: 0
Abstract
Front Cover: A detailed analysis of PEO-PPO based block copolymers revealed the presence of diblock copolymers, which modify their HLB values. By analyzing the copolymers, the authors mapped the composition-property relationships then an artificial neural network was created providing the properties of polymer solutions for any estimated copolymer composition. More details can be found in article 2400297 by Sándor Kéki and co-workers.
期刊介绍:
Macromolecular Materials and Engineering is the high-quality polymer science journal dedicated to the design, modification, characterization, processing and application of advanced polymeric materials, including membranes, sensors, sustainability, composites, fibers, foams, 3D printing, actuators as well as energy and electronic applications.
Macromolecular Materials and Engineering is among the top journals publishing original research in polymer science.
The journal presents strictly peer-reviewed Research Articles, Reviews, Perspectives and Comments.
ISSN: 1438-7492 (print). 1439-2054 (online).
Readership:Polymer scientists, chemists, physicists, materials scientists, engineers
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