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Macromol. Theory Simul. 6/2017
Author(s) -
Schamboeck Verena,
Kryven Ivan,
Iedema Pieter D.
Publication year - 2017
Publication title -
macromolecular theory and simulations
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.37
H-Index - 56
eISSN - 1521-3919
pISSN - 1022-1344
DOI - 10.1002/mats.201770016
Subject(s) - front cover , random graph , polymer , phase transition , statistical physics , graph , cover (algebra) , graph theory , network topology , computer science , degree distribution , polymer science , combinatorics , topology (electrical circuits) , mathematics , theoretical computer science , materials science , complex network , physics , engineering , thermodynamics , mechanical engineering , composite material , operating system
Front Cover : The image depicts samples of cross‐linked molecules as obtained from the random graph model for diacrylate polymer networks shortly after the onset of the topological phase transition. The vast variability in molecular sizes, topologies, and shapes that can be seen in the image is completely defined by a relatively small amount of information – the degree distribution of the underlying random graph. More information can be found in article number 1700047 by Verena Schamboeck,* Ivan Kryven, and Pieter D. Iedema.