Conveners
(DCMMP) M2-7 Soft Condensed Matter II | Matière condensée molle II (DPMCM)
- Rachael Mansbach (Concordia University)
The dynamics of a polymer in solution are affected by hydrodynamics. It has often been assumed that these affects are mostly long range and therefore should be less significant in confined environments. However, there are a growing number of experiments on polymers in micro- and nano-fluidic devices where the hydrodynamic flow field is an essential part of the nonequilibrium dynamics of the...
Phytoglycogen (PG) is a glucose-based polymer with a dendritic architecture that is extracted from sweet corn as a soft, compact, monodisperse, 22 nm radius nanoparticle. Our recent model for a PG particle in solvent (water), based on dynamical self-consistent field theory (dSCFT), was successful in producing a dendrimer with a core-chain morphology, radius, and hydration, in close agreement...
Computer simulations are used to characterize the entropic force of one or more polymers tethered to the tip of a hard conical object that interact with a nearby hard flat surface. Pruned-enriched-Rosenbluth-method (PERM) Monte Carlo simulations are used to calculate the variation of the conformational free energy, $F$, of a hard-sphere polymer with respect to cone-tip-to-surface distance,...
The study of organic solar cells is intriguing from a fundamental point of view because of the very short lifetime of excitons -strongly-correlated electron-hole pairs- in these devices. While the origin of short exciton lifetime is still an open scientific problem, it is now apparent it is somewhat linked to strong electron-phonon coupling, which is also depending on the dielectric function...
Hyperspectral infrared (IR) images contain a large amount of spatially resolved information about the chemical composition of a sample. However, the analysis of hyperspectral IR imaging data for complex heterogeneous systems can be challenging because of the spectroscopic and spatial complexity of the data. We implement a deep generative modeling approach using a β-variational autoencoder to...