Dorfman Group Research Data
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Browsing Dorfman Group Research Data by Author "Arora, Akash"
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Item Data for Order and Disorder in ABCA′ Tetrablock Terpolymers(2020-11-16) Radlauer, Madalyn R; Arora, Akash; Matta, Megan E; Bates, Frank S; Hillmyer, Marc A; Dorfman, Kevin D; dorfman@umn.edu; Dorfman, Kevin D; Dorfman GroupItem Data from: Accelerating self-consistent field theory of block polymers in a variable unit cell(2017-12-04) Arora, Akash; Morse, David C; Bates, Frank S; Dorfman, Kevin D; dorfman@umn.edu; Dorfman, Kevin DThe 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/10.1063/1.4986643Item Data from: Commensurability and finite size effects in lattice simulations of diblock copolymers(2015) Arora, Akash; Morse, David; Bates, Frank S; Dorfman, Kevin DItem Data from: Thermal Processing of Diblock Copolymer Melts Mimics Metallurgy(2017-05-22) Kim, Kyungtae; Schulze, Morgan W; Arora, Akash; Lewis III, Ronald M; Hillmyer, Marc A; Dorfman, Kevin D; Bates, Frank S; dorfman@umn.edu; Dorfman, Kevin DSmall-angle x-ray scattering experiments conducted with compositionally asymmetric low molar mass poly(isoprene)-b-poly(lactide) diblock copolymers reveal an extraordinary thermal history dependence. The development of distinct periodic crystalline or aperiodic quasicrystalline states depends on how specimens are cooled from the disordered state to temperatures below the order-disorder transition temperature. Whereas direct cooling leads to the formation of documented morphologies, rapidly quenched samples that are then heated from low temperature form the hexagonal C14 and cubic C15 Laves phases commonly found in metal alloys. Self-consistent mean-field theory calculations show that these, and other associated Frank-Kasper phases, have nearly degenerate free energies, suggesting that processing history drives the material into long-lived metastable states defined by self-assembled particles with discrete populations of volumes and polyhedral shapes.Item Examples for Broadly Accessible SCFT(Macromolecules, 2016) Arora, Akash; Dorfman, Kevin DThese are the examples in the publication cited below. They run with the OS-X executable that is also available in the UDC at https://hdl.handle.net/11299/223302 and the output can be analyzed using the polymer visual software at https://hdl.handle.net/11299/223303.Item Mac OS-X Executable for PSCF(Macromolecules, 2016) Arora, Akash; Morse, David C; Dorfman, Kevin DThis is the PSCF executable referenced in the paper. A link is provided at http://pscf.cems.umn.edu and this deposit is the permanent archive.Item Polymer Visual software for SCFT(Polymer, 2018) Pillai, Naveen; Arora, Akash; Dorfman, Kevin DThis is the version of the polymer visual software that was reported with the cited publication. The most up-to-date version of this program is kept with the PSCF github archive https://github.com/dmorse/pscf maintained by David Morse.Item Predicting the phase behavior of ABAC tetrablock terpolymers: Sensitivity to Flory-Huggins interaction parameters(Polymer, 2018) Arora, Akash; Pillai, Naveen; Bates, Frank S; Dorfman, Kevin DItem Role of chain length in the formation of Frank-Kasper phases in diblock copolymers(2018) Lewis III, Ronald M; Arora, Akash; Beech, Haley K; Lee, Bongjoon; Lindsay, Aaron P; Lodge, Timothy P; Dorfman, Kevin D; Bates, Frank SItem SCFT Input Files and Free Energy Output for "Stable Frank–Kasper phases of self-assembled, soft matter spheres"(Proceedings of the National Academy of Sciences USA, 2018) Reddy, Abhiram; Buckley, Michael B; Arora, Akash; Bates, Frank S; Dorfman, Kevin D; Grason, Gregory MItem Updated version of polymer visual program(2022) Magruder, Benjamin; Arora, Akash; Pillai, NaveenThis is an update of the polymer visual software. The original version, which was reported in a manuscript (doi: 10.1016/j.polymer.2018.08.07), is available on the UDC at https://hdl.handle.net/11299/223303. The main improvement in the current version of the program is the ability to produce scattering patterns from the SCFT data. The new archive also includes improved commenting to aid new users in taking advantage of the program.