Monte Carlo Study of Triblock Self-Assembly by Cooperative Motion Algorithm
Authors:
- Sebastian Wołoszczuk,
- Michał Banaszak
Abstract
We perform a comprehensive Monte Carlo study of the ABA triblock self-assembly by the Cooperative Motion Algorithm. Our attention is focused on three series of triblocks which are grown from parent AB diblocks of varying asymmetry. Unlike the previous studies in which the total length of the chain varies upon growing the terminal A-block, here we keep the fixed chain length for a given series. Moreover, we determine the order-disorder transition temperature as the τ parameter (being the ratio of the grown A-block to the length of the parent diblock) increases. In this case we find that the order-disorder transition temperature monotonically decreases for two asymmetric series which is different from the non-monotonic depression of T_ODT reported previously. We also construct a phase diagram which shows a variety of nanostructures as τ is increased.
- Record ID
- UAM606acce8a379430e8d4efeda1b475f15
- Author
- Journal series
- Computational Methods in Science and Technology, ISSN 1505-0602, e-ISSN 2353-9453
- Issue year
- 2020
- Vol
- 26
- No
- 3
- Pages
- 89–95
- Publication size in sheets
- 0.50
- Keywords in English
- Monte Carlo, triblock copolymers, Cooperative Motion Algorithm
- DOI
- DOI:10.12921/cmst.2020.0000025 Opening in a new tab
- URL
- http://cmst.eu/articles/monte-carlo-study-of-triblock-self-assembly-by-cooperative-motion-algorithm/ Opening in a new tab
- Language
- (en) English
- Score (nominal)
- 20
- Score source
- journalList
- Score
- = 20.0, 13-01-2022, ArticleFromJournal
- Uniform Resource Identifier
- https://researchportal.amu.edu.pl/info/article/UAM606acce8a379430e8d4efeda1b475f15/
- URN
urn:amu-prod:UAM606acce8a379430e8d4efeda1b475f15
* presented citation count is obtained through Internet information analysis and it is close to the number calculated by the Publish or PerishOpening in a new tab system.