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024 7 _ |a 10.1063/1.5139712
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024 7 _ |a 1089-7690
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024 7 _ |a 1520-9032
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024 7 _ |a 2128/25657
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100 1 _ |a Monkenbusch, M.
|0 P:(DE-Juel1)130849
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245 _ _ |a A practical method to account for random phase approximation effects on the dynamic scattering of multi-component polymer systems
260 _ _ |a Melville, NY
|c 2020
|b American Institute of Physics
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336 7 _ |a ARTICLE
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520 _ _ |a Investigations of polymer systems that rely on the interpretation of dynamical scattering results as, e.g., the structure factor S(Q, t) of single chains or chain sections may require the inclusion of effects, as described within the framework of the random phase approximation (RPA) for polymers. To do this in practice for the dynamic part of S(Q, t) beyond the initial slope is a challenge. Here, we present a method (and software) that allows a straightforward assessment of dynamical RPA effects and inclusion of these in the process/procedures of model fitting. Examples of applications to the interpretation of neutron spin-echo data multi-component polymer melts are shown
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650 1 7 |a Polymers, Soft Nano Particles and Proteins
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700 1 _ |a Kruteva, M.
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700 1 _ |a Zamponi, M.
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700 1 _ |a Willner, L.
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700 1 _ |a Hoffman, I.
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700 1 _ |a Farago, B.
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700 1 _ |a Richter, D.
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773 _ _ |a 10.1063/1.5139712
|g Vol. 152, no. 5, p. 054901 -
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|t The journal of chemical physics
|v 152
|y 2020
|x 1089-7690
856 4 _ |y Published on 2020-02-03. Available in OpenAccess from 2021-02-03.
|u https://juser.fz-juelich.de/record/878551/files/1.5139712.pdf
856 4 _ |y Published on 2020-02-03. Available in OpenAccess from 2021-02-03.
|u https://juser.fz-juelich.de/record/878551/files/zamponi_RPA_Paper-16.pdf
856 4 _ |y Published on 2020-02-03. Available in OpenAccess from 2021-02-03.
|x pdfa
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856 4 _ |y Published on 2020-02-03. Available in OpenAccess from 2021-02-03.
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