2018
DOI: 10.1039/c7sm02098h
|View full text |Cite
|
Sign up to set email alerts
|

Form factor for distorted semi-flexible polymer chains

Abstract: The statistical presence of kinks which form defects in semi-flexible polymer chains leads to a polydispersity in the effective persistence length. The form factor of a distorted semi-flexible polymer results as an average over this persistence polydispersity. It turns out that the scattering behavior of an ensemble of distorted semi-flexible polymer chains is quite well approximated by a form factor of an undistorted chain with a R-equivalent persistence length. An apparent length polydispersity is observed f… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1

Citation Types

0
1
0

Year Published

2019
2019
2021
2021

Publication Types

Select...
1
1

Relationship

0
2

Authors

Journals

citations
Cited by 2 publications
(1 citation statement)
references
References 42 publications
(84 reference statements)
0
1
0
Order By: Relevance
“…However, the detailed shape of the form factor can have considerable differences in the various cases listed above. While many isotropic theories exist for equilibrium [19][20][21], anisotropic scattering patterns up to now have been analyzed in mostly ad hoc fashion: fitting 1D radial cuts [6], comparing angular sector averages [9], fitting ellipses to isointensity curves [6], and fingerprinting with spherical harmonics [4]. In the present work, we develop a new approach to extract the underlying real-space structure directly from the data, not requiring any knowledge of the molecular motion.…”
Section: Introductionmentioning
confidence: 99%
“…However, the detailed shape of the form factor can have considerable differences in the various cases listed above. While many isotropic theories exist for equilibrium [19][20][21], anisotropic scattering patterns up to now have been analyzed in mostly ad hoc fashion: fitting 1D radial cuts [6], comparing angular sector averages [9], fitting ellipses to isointensity curves [6], and fingerprinting with spherical harmonics [4]. In the present work, we develop a new approach to extract the underlying real-space structure directly from the data, not requiring any knowledge of the molecular motion.…”
Section: Introductionmentioning
confidence: 99%