SAXS data modelling for the characterisation of ion tracks in polymers-Reference-Cited by-同舟云学术

SAXS data modelling for the characterisation of ion tracks in polymers

Published:2022 Issue:16 Volume:24 Page:9345-9359
ISSN:1463-9076
Container-title:Physical Chemistry Chemical Physics
language:en
Short-container-title:Phys. Chem. Chem. Phys.

Author:

Wang Xue¹²^ORCID,Dutt Shankar²^ORCID,Notthoff Christian²^ORCID,Kiy Alexander²^ORCID,Mota-Santiago Pablo³,Mudie Stephen T.³,Toimil-Molares Maria E.⁴,Liu Feng¹⁵^ORCID,Wang Yugang¹,Kluth Patrick²^ORCID

Affiliation:

1. State Key Laboratory of Nuclear Physics and Technology, School of Physics, Peking University, Beijing 100871, People's Republic of China

2. Department of Materials Physics, Research School of Physics, Australian National University, Canberra ACT 2601, Australia

3. Australian Synchrotron, ANSTO, 800 Blackburn Rd, Clayton, Victoria 3168, Australia

4. GSI Helmholtzzentrum für Schwerionenforschung (GSI), Planckstr. 1, D-64291, Darmstadt, Germany

5. Center for Quantitative Biology, Peking University, Beijing 100871, People's Republic of China

Abstract

New SAXS fitting models reveal the detailed morphology of cylindrical ion tracks in polymers composed of a highly damaged core with a gradual transition to the undamaged material.

Funder

Australian Research Council

National Natural Science Foundation of China

China Scholarship Council

Australian Institute of Nuclear Science and Engineering

Publisher

Royal Society of Chemistry (RSC)

Subject

Physical and Theoretical Chemistry,General Physics and Astronomy

Link

http://pubs.rsc.org/en/content/articlepdf/2022/CP/D1CP05813D

Reference95 articles.