1,733,677 research outputs found
Data supporting: "Symmetry Breaking in Particle-Forming Diblock/Homopolymer Blends"
No full textInput and output files for self-consistent field theory calculations compatible with Polymer Self-Consistent Field (PSCF)Cheong, Guo Kang; Bates, Frank S; Dorfman, Kevin D. (2020). Data supporting: "Symmetry Breaking in Particle-Forming Diblock/Homopolymer Blends". Retrieved from the University Digital Conservancy, https://doi.org/10.13020/xfwb-9k72
Data supporting "The C36 Laves phase in diblock polymer melts"
No full textInput and output files necessary to produce all of the results presented in the paper "The C36 Laves phase in diblock polymer melts." The Polymer Self-Consistent Field (PSCF) software package was used exclusively to generate these results.NSF Grant DMR-1725272Magruder, Benjamin R; Dorfman, Kevin D. (2021). Data supporting "The C36 Laves phase in diblock polymer melts". Retrieved from the University Digital Conservancy, https://doi.org/10.13020/0042-3S15
Data for "Stability of Cubic Single Network Phases in Diblock Copolymer Melts"
No full textThis dataset contains the self-consistent field theory (SCFT) simulation results and data for geometric analysis in "Stability of cubic single networks in diblock copolymer melts" by Chen et. al. (DOI: 10.1002/pol.20220318). SCFT was used to investigate the stability of cubic single and double network phases. Geometric analysis, including the calculations of mean curvatures and interfacial areas per unit volume of the domain interface, was used to understand the metastability of the single network phases. With this dataset, users should be able to regenerate the calculations and figures that appeared in the paper.National Science Foundation, Grant/Award Numbers: DMR-1719692, DMR-2011401Chen, Pengyu; Mahanthappa, Mahesh K; Dorfman, Kevin D. (2022). Data for "Stability of Cubic Single Network Phases in Diblock Copolymer Melts". Retrieved from the University Digital Conservancy, https://doi.org/10.13020/xnd3-n131
Input and data for "Simulating precursor steps for fibril formation in methylcellulose solutions"
No full textEach folder contains the data corresponding to the figures in the paper. Some of them contain the trajectory files (for visualization) or the .vmd files compatible with VMD software. The links to codes and video repository, a README file for understanding the usage of each codes in code repository (codes_usage/README.pdf), source files utilized for generating color maps (see inside folder Upload_data/Fig_8), and README files for each folder showing how to retrieve the data are present in the .tar file.We use coarse-grained molecular dynamics simulations to study the precursor steps for fibril formation
in methylcellulose solutions. Simulations of ring stacking between two collapsed methylcellulose chains
demonstrate the existence of a capture radius that is much larger than that predicted by polymer diffusion alone.
When two rings are in very close proximity, they stack together to form a fibril precursor. Simulations of stacks
of such rings suggest that this structure is metastable. In contrast, chains that are within the capture radius but not
in close proximity, as well as for systems containing both ringlike and relaxed chains, fibril-like structures form
via a distinctly different mechanism. Irrespective of their initial arrangement, the chains undergo two specific
conformational changes: (i) a part of either a ring or a randomly coiled chain splays out and (ii) the splayed chain
subsequently engulfs a nearby chain if it is within a certain capture distance. The latter results are consistent
with recent experimental measurements of fibril formation by short methylcellulose chains, which suggests the
formation of a twisted bundle.University of Minnesota Materials Science Research and Engineering Center Award No. DMR-1420013Sethuraman, Vaidyanathan; Dorfman, Kevin D. (2019). Input and data for "Simulating precursor steps for fibril formation in methylcellulose solutions". Retrieved from the University Digital Conservancy, https://doi.org/10.13020/kkcn-8g83
Data from: Rapid conformational fluctuations in a model of methylcellulose
No full textEvery folder features a figure in the paper (or multiple figures in Supporting Information) and contains a MATLAB file (in some cases multiple MATLAB files) that has data access pathway and detailed documentation. For getting the access to the data used in the plot, you could retrieve pathway through MATLAB file; for reproducing figures, please simply run the MATLAB file as indicated in the readme file.Methylcellulose is a thermoresponsive polymer that undergoes a morphological transition at elevated
temperature, forming uniform diameter fibrils. However, the gelation mechanism is still unclear, in particular,
at higher polymer concentrations. We use Langevin dynamics simulations to investigate a coarse-grained model
for methylcellulose that produces collapsed ringlike structures in dilute solution with a radius close to the fibrils
observed in experiments. We show that the competition between the dihedral potential and self-attraction causes
these collapsed states to undergo a rapid conformational change, which helps the chain to avoid kinetic traps by
permitting a transition between collapsed states. If the dihedral potential is removed, the chains do not escape
from their collapsed configuration, whereas at high dihedral potentials, the chains cannot stabilize the collapsed
state. We provide systematic data on the effect of the dihedral potential in a model of methylcellulose, and discuss
the implication of these previously overlooked rapid conformational fluctuations on the spontaneous formation
of high-aspect-ratio fibrils.National Science Foundation through the University of Minnesota Materials Science Research and Engineering Center under Award No. DMR-1420013.Li, Xiaolan; Dorfman, Kevin D; Bates, Frank S. (2017). Data from: Rapid conformational fluctuations in a model of methylcellulose. Retrieved from the University Digital Conservancy, https://doi.org/10.13020/D6C665
Data from: Accelerating self-consistent field theory of block polymers in a variable unit cell
No full textInput files that are required to perform the SCFT calculations using the open source package called PSCF (Polymer Self-Consistent Field Theory) available at http://pscf.cems.umn.edu/. It also contains the output converged files of all the simulation tests that we ran using PSCF. More information about PSCF, including links to the user manual and source code, is available at https://morse.cems.umn.edu/morse/code/pscf/home.php.html.The data contain the results of all the SCFT calculations used to demonstrate the performance of the new algorithm that we devised in our paper: https://doi.org/10.1063/1.4986643National Science Foundation (Grant No. DMR-1333669)Arora, Akash; Morse, David C; Bates, Frank S; Dorfman, Kevin D. (2017). Data from: Accelerating self-consistent field theory of block polymers in a variable unit cell. Retrieved from the University Digital Conservancy, https://doi.org/10.13020/D6GT1D
Kevin D. Crowley, approximately 1966-1970
No full textBlack-and-white portrait of Kevin D. Crowley (Class of 1970) as a cadet at Norwich University in Northfield, Vermont, approximately 1966-1970
Kevin D. Crowley, approximately 1966-1970
No full textColor portrait of Kevin D. Crowley (Class of 1970) as a cadet at Norwich University in Northfield, Vermont, approximately 1966-1970
Kevin D. Crowley, approximately 1966-1970
No full textBlack-and-white portrait of Kevin D. Crowley (Class of 1970) as a cadet at Norwich University in Northfield, Vermont, approximately 1966-1970
Kevin D. Larkin
No full textKevin D. Larkin receives an award for 25 years of service in Student Affairs. (l-r) President William Perry, Kevin D. Larkin, Vice President of Student Affairs Dan Nadler.https://thekeep.eiu.edu/years_of_service_2013/1123/thumbnail.jp
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