Modeling size-controlled assembly of polymeric nanoparticles in interdigital micromixers

dc.contributor.authorKeßler, Simon
dc.date.accessioned2017-11-05T08:43:08Z
dc.date.available2017-11-05T09:43:08Z
dc.date.issued2017
dc.description.abstractWe apply mean field continuum theories to model the assembly of particles in the co-solvent method, to which we refer as size-controlled assembly, with the objective to explain nanoparticle size dependencies on solvent mixing speeds. Our investigation starts at considering a Cahn-Hilliard equation with a Flory-Huggins-de Gennes free energy functional restricted to homopolymers. Upon modeling solvent mixing by a time dependent interaction parameter, structure formation during spinodal decomposition is analyzed. The qualitative agreement of our simulated data to both recently published Molecular Dynamics simulations and experiments indicates that size-controlled assembly can, on principle, be described by relaxation dynamics within a mean field approximation, and suggests a response of molecular organization to solvent mixing in the very early stages of phase separation to eventually determine final particle sizes. In contrast to Molecular Dynamics simulations, the Cahn-Hilliard model is able to simulate realistic mixing times and enables a perturbation approximation. The perturbation approximation does not only give an analytical interpretation to the underlying physical mechanism of size-control as a competition between molecular repulsion and interfacial tension of diffuse interfaces, but also yields a general theoretical scaling behavior that is reflected in experiments and Molecular Dynamics simulations. After introducing the notion of effective two-component models, we combine the computational efficiency of models based on time dependent interaction parameters with a more realistic description of solvent mixing by relative chemical potentials of solvents. This novel description is then shown to agree with incompressible three-component dynamics in dilute solutions that correspond to experimental conditions. Size-controlled assembly of amphiphilic diblock-copolymers is studied by inserting time dependent interaction parameters into an External Potential Dynamics model with a free energy functional from the Self Consistent Field Theory. A satisfactory analysis of particle size distributions requires the development of a new numerical integration scheme to deal with stiffness instabilities at high compressive moduli, which accelerates simulations by a factor of up to 100. Subsequent simulations indicate that neither the fundamental qualitative characteristics of particle size dependencies on mixing speeds nor the physical mechanism behind the size-control are significantly affected by copolymer architecture. Experimentally observed transitions of particle morphologies are also reproduced qualitatively. To conclude, an effective two-component model with a revised description of solvent mixing for copolymers is proposed. Based on the findings in the present work, we consider it a suitable starting point for quantitative studies of size-controlled copolymer assembly.en_GB
dc.identifier.doihttp://doi.org/10.25358/openscience-1362
dc.identifier.urihttps://openscience.ub.uni-mainz.de/handle/20.500.12030/1364
dc.identifier.urnurn:nbn:de:hebis:77-diss-1000016386
dc.language.isoeng
dc.rightsInC-1.0de_DE
dc.rights.urihttps://rightsstatements.org/vocab/InC/1.0/
dc.subject.ddc530 Physikde_DE
dc.subject.ddc530 Physicsen_GB
dc.titleModeling size-controlled assembly of polymeric nanoparticles in interdigital micromixersen_GB
dc.typeDissertationde_DE
jgu.description.extent200 Seiten
jgu.organisation.departmentFB 08 Physik, Mathematik u. Informatik
jgu.organisation.nameJohannes Gutenberg-Universität Mainz
jgu.organisation.number7940
jgu.organisation.placeMainz
jgu.organisation.rorhttps://ror.org/023b0x485
jgu.organisation.year2017
jgu.rights.accessrightsopenAccess
jgu.subject.ddccode530
jgu.type.dinitypePhDThesis
jgu.type.resourceText
jgu.type.versionOriginal worken_GB
opus.date.accessioned2017-11-05T08:43:08Z
opus.date.available2017-11-05T09:43:08
opus.date.modified2017-11-10T13:05:36Z
opus.identifier.opusid100001638
opus.institute.number0801
opus.metadataonlyfalse
opus.organisation.stringFB 08: Physik, Mathematik und Informatik: Institut für Physikde_DE
opus.subject.dfgcode00-000
opus.type.contenttypeDissertationde_DE
opus.type.contenttypeDissertationen_GB

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