Structure formation in binary polymer systems: Short-time dynamics and dynamics of crosslinked systems

Wang, Gaoyuan

dc.contributor.advisor	Müller, Marcus Prof. Dr.
dc.contributor.author	Wang, Gaoyuan
dc.date.accessioned	2022-07-27T12:18:12Z
dc.date.available	2022-08-03T00:50:15Z
dc.date.issued	2022-07-27
dc.identifier.uri	http://resolver.sub.uni-goettingen.de/purl?ediss-11858/14185
dc.identifier.uri	http://dx.doi.org/10.53846/goediss-9379
dc.language.iso	eng	de
dc.subject.ddc	530	de
dc.title	Structure formation in binary polymer systems: Short-time dynamics and dynamics of crosslinked systems	de
dc.type	doctoralThesis	de
dc.contributor.referee	Müller, Marcus Prof. Dr.
dc.date.examination	2021-09-22	de
dc.subject.gok	Physik (PPN621336750)	de
dc.description.abstracteng	Structure evolution in multicomponent polymer melts and in their network equivalents is investigated. In the first part, particle-based simulations reveal that on short length and time scales, the collective kinetics of structure formation and relaxation of polymeric systems is influenced by the sub-diffusive single-chain dynamics. D-RPA and D-SCFT are employed to describe the collective behavior in the simulation. D-RPA successfully captures the observed time evolution of density fluctuations on short time scales, whereas D-SCFT fails to provide an appropriate description on time scales much shorter than the Rouse relaxation time. In addition, a modified D-SCFT that accounts for the non-locality of Onsager coefficient in time is developed. In the second part, the structure and structure formation in 2D networks with a fixed topology and in 3D randomly crosslinked networks made of symmetric diblock copolymers are studied combining analytical approaches and particle-based simulations. The phase behavior of 2D regular networks comprised of square-shaped unit cells is found to depend strongly on the side lengths of the unit cells measured in the unit of the end-to-end distance of the constituent polymer strands and the number of unit cells belonging to the network. In 3D random networks, the crosslinks stabilize and partially memorize the structure existing at the time of their formation. The phase behavior of random networks is determined by the crosslink density and the strength of the repulsion between unlike species at crosslinking.	de
dc.contributor.coReferee	Kree, Reiner Prof. Dr.
dc.subject.eng	self-consistent field theory	de
dc.subject.eng	statistical physics	de
dc.subject.eng	polymer networks	de
dc.subject.eng	polymer physics	de
dc.subject.eng	random phase approximation	de
dc.subject.eng	coarse-grained particle simulation	de
dc.identifier.urn	urn:nbn:de:gbv:7-ediss-14185-4
dc.affiliation.institute	Fakultät für Physik	de
dc.description.embargoed	2022-08-03	de
dc.identifier.ppn	1811946356
dc.notes.confirmationsent	Confirmation sent 2022-07-27T12:45:01	de

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