التفاصيل البيبلوغرافية
| العنوان: |
Anatomy of triply-periodic network assemblies: characterizing skeletal and inter-domain surface geometry of block copolymer gyroids. |
| المؤلفون: |
Prasad I; Department of Chemical Engineering, University of Massachusetts, Amherst, Massachusetts 01003, USA., Jinnai H; Institute of Multidisciplinary Research for Advanced Materials (IMRAM), Tohoku University, Katahira, Aoba-ku, Sendai, 980-8577, Japan., Ho RM; Department of Chemical Engineering, National Tsing Hua University, Hsinchu 30013, Taiwan., Thomas EL; Department of Material Science and Nano Engineering, Rice University, Houston, TX 77005, USA., Grason GM; Department of Polymer Science and Engineering, University of Massachusetts, Amherst, Massachusetts 01003, USA. grason@mail.pse.umass.edu. |
| المصدر: |
Soft matter [Soft Matter] 2018 May 09; Vol. 14 (18), pp. 3612-3623. |
| نوع المنشور: |
Journal Article |
| اللغة: |
English |
| بيانات الدورية: |
Publisher: Royal Society of Chemistry Country of Publication: England NLM ID: 101295070 Publication Model: Print Cited Medium: Internet ISSN: 1744-6848 (Electronic) Linking ISSN: 1744683X NLM ISO Abbreviation: Soft Matter Subsets: PubMed not MEDLINE |
| أسماء مطبوعة: |
Original Publication: Cambridge, England : Royal Society of Chemistry, 2005- |
| مستخلص: |
Triply-periodic networks (TPNs), like the well-known gyroid and diamond network phases, abound in soft matter assemblies, from block copolymers (BCPs), lyotropic liquid crystals and surfactants to functional architectures in biology. While TPNs are, in reality, volume-filling patterns of spatially-varying molecular composition, physical and structural models most often reduce their structure to lower-dimensional geometric objects: the 2D interfaces between chemical domains; and the 1D skeletons that thread through inter-connected, tubular domains. These lower-dimensional structures provide a useful basis of comparison to idealized geometries based on triply-periodic minimal, or constant-mean curvature surfaces, and shed important light on the spatially heterogeneous packing of molecular constituents that form the networks. Here, we propose a simple, efficient and flexible method to extract a 1D skeleton from 3D volume composition data of self-assembled networks. We apply this method to both self-consistent field theory predictions as well as experimental electron microtomography reconstructions of the double-gyroid phase of an ABA triblock copolymer. We further demonstrate how the analysis of 1D skeleton, 2D inter-domain surfaces, and combinations therefore, provide physical and structural insight into TPNs, across multiple length scales. Specifically, we propose and compare simple measures of network chirality as well as domain thickness, and analyze their spatial and statistical distributions in both ideal (theoretical) and non-ideal (experimental) double gyroid assemblies. |
| تواريخ الأحداث: |
Date Created: 20180424 Date Completed: 20180730 Latest Revision: 20180820 |
| رمز التحديث: |
20240628 |
| DOI: |
10.1039/c8sm00078f |
| PMID: |
29683466 |
| قاعدة البيانات: |
MEDLINE |
