Matches in SemOpenAlex for { <https://semopenalex.org/work/W3120474473> ?p ?o ?g. }
- W3120474473 endingPage "796" @default.
- W3120474473 startingPage "783" @default.
- W3120474473 abstract "In this paper, we extend a recently developed computational reverse-engineering analysis for scattering experiments (CREASE) approach to analyze cylindrical, fibrillar, and elliptical cylindrical structures assembled in amphiphilic block copolymer solutions. With CREASE, one can deduce information about assembled structures characterized via small-angle scattering without having to rely on fits using conventional analytical scattering models that may be approximate or inapplicable for the system at hand. With scattering intensity profiles and information about the polymer solution (e.g., molecular weight, composition, and sequence) provided to CREASE as an input, the output from CREASE includes the shape, morphology, dimensions, and molecular packing in the assembled polymer structures within the solution. CREASE is comprised of two steps: the first step involves a genetic algorithm (GA) to determine the shape and dimensions of the domains in the assembled structure and the second step uses molecular simulations to reconstruct chain conformations and monomer-level arrangements within the assembled structure. This paper builds on our recent work that was focused on spherical assembled structures and extends it to nonspherical assembled structures like cylinders, fibrils, and cylinders with elliptical cross sections. We validate the GA step within CREASE by taking input scattering intensity profiles from a variety of assembled shapes with known shapes and dimensions and by producing outputs that match those known shapes and target dimensions. To demonstrate its use in real situations where microscopy may hint at the potential shapes without the user knowing the dimensions with certainty, we apply CREASE with different potential assembled shapes and compare the structural dimensions of the results." @default.
- W3120474473 created "2021-01-18" @default.
- W3120474473 creator A5008345084 @default.
- W3120474473 creator A5050465283 @default.
- W3120474473 date "2021-01-05" @default.
- W3120474473 modified "2023-10-16" @default.
- W3120474473 title "Computational Reverse-Engineering Analysis of Scattering Experiments (CREASE) on Amphiphilic Block Polymer Solutions: Cylindrical and Fibrillar Assembly" @default.
- W3120474473 cites W1512383952 @default.
- W3120474473 cites W1845618662 @default.
- W3120474473 cites W1966631624 @default.
- W3120474473 cites W1967939236 @default.
- W3120474473 cites W1970081203 @default.
- W3120474473 cites W1974487446 @default.
- W3120474473 cites W1975639265 @default.
- W3120474473 cites W1983543708 @default.
- W3120474473 cites W1987710529 @default.
- W3120474473 cites W1988840055 @default.
- W3120474473 cites W1989275496 @default.
- W3120474473 cites W1991791647 @default.
- W3120474473 cites W2007665067 @default.
- W3120474473 cites W2009567449 @default.
- W3120474473 cites W2013660423 @default.
- W3120474473 cites W2014237760 @default.
- W3120474473 cites W2015119937 @default.
- W3120474473 cites W2018129789 @default.
- W3120474473 cites W2019465613 @default.
- W3120474473 cites W2019783931 @default.
- W3120474473 cites W2020828286 @default.
- W3120474473 cites W2020867585 @default.
- W3120474473 cites W2021158547 @default.
- W3120474473 cites W2021181435 @default.
- W3120474473 cites W2025516994 @default.
- W3120474473 cites W2027488555 @default.
- W3120474473 cites W2034496248 @default.
- W3120474473 cites W2040181973 @default.
- W3120474473 cites W2049622924 @default.
- W3120474473 cites W2063802789 @default.
- W3120474473 cites W2074958549 @default.
- W3120474473 cites W2075370047 @default.
- W3120474473 cites W2090686376 @default.
- W3120474473 cites W2107687151 @default.
- W3120474473 cites W2107974138 @default.
- W3120474473 cites W2137212933 @default.
- W3120474473 cites W2143621915 @default.
- W3120474473 cites W2160037102 @default.
- W3120474473 cites W2164361934 @default.
- W3120474473 cites W2170103495 @default.
- W3120474473 cites W2172949807 @default.
- W3120474473 cites W2221701072 @default.
- W3120474473 cites W2254723555 @default.
- W3120474473 cites W2285428211 @default.
- W3120474473 cites W2313363457 @default.
- W3120474473 cites W2325543066 @default.
- W3120474473 cites W2329518062 @default.
- W3120474473 cites W2344454317 @default.
- W3120474473 cites W2383894479 @default.
- W3120474473 cites W2483226007 @default.
- W3120474473 cites W2580946867 @default.
- W3120474473 cites W2584307810 @default.
- W3120474473 cites W2586024373 @default.
- W3120474473 cites W2586175086 @default.
- W3120474473 cites W2608601148 @default.
- W3120474473 cites W2610665963 @default.
- W3120474473 cites W2620413186 @default.
- W3120474473 cites W2655646808 @default.
- W3120474473 cites W2752797940 @default.
- W3120474473 cites W2765725148 @default.
- W3120474473 cites W2783790742 @default.
- W3120474473 cites W2786368000 @default.
- W3120474473 cites W2786923489 @default.
- W3120474473 cites W2890817224 @default.
- W3120474473 cites W2910095434 @default.
- W3120474473 cites W2912807874 @default.
- W3120474473 cites W2922312914 @default.
- W3120474473 cites W2937039196 @default.
- W3120474473 cites W2941305389 @default.
- W3120474473 cites W2969821024 @default.
- W3120474473 cites W2972391723 @default.
- W3120474473 cites W2977888252 @default.
- W3120474473 cites W2995188847 @default.
- W3120474473 cites W3044251506 @default.
- W3120474473 cites W3088507215 @default.
- W3120474473 cites W3098014281 @default.
- W3120474473 cites W4245955322 @default.
- W3120474473 cites W4254556493 @default.
- W3120474473 cites W867823081 @default.
- W3120474473 doi "https://doi.org/10.1021/acs.macromol.0c02265" @default.
- W3120474473 hasPublicationYear "2021" @default.
- W3120474473 type Work @default.
- W3120474473 sameAs 3120474473 @default.
- W3120474473 citedByCount "12" @default.
- W3120474473 countsByYear W31204744732021 @default.
- W3120474473 countsByYear W31204744732022 @default.
- W3120474473 countsByYear W31204744732023 @default.
- W3120474473 crossrefType "journal-article" @default.
- W3120474473 hasAuthorship W3120474473A5008345084 @default.
- W3120474473 hasAuthorship W3120474473A5050465283 @default.
- W3120474473 hasConcept C120665830 @default.