Bayesian estimations of orientation distribution functions from small-angle scattering enable direct prediction of mechanical stress in anisotropic materials

Patrick T. Corona, Kevin S. Silmore, Raymond Adkins, Christian Lang, Minne Paul Lettinga, James W. Swan, L. Gary Leal, and Matthew E. Helgeson
Phys. Rev. Materials 5, 065601 – Published 8 June 2021
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Abstract

Properties of soft materials are influenced by their anisotropic structuring under nonequilibrium fields. Although anisotropic structure-property relationships have been extensively explored theoretically, comparison to experiments requires determination of the microstructural orientation probability distribution function (OPDF) of microstructural elements. Small angle scattering (SAS) measurements encode information about the OPDF, but tools to navigate this connection are incomplete. Here, we develop and validate an explicit framework to link arbitrary OPDFs to SAS measurements. Specifically, we propose, validate, and apply a method, maximum a posteriori scattering inference (MAPSI), whereby the OPDF may be obtained from SAS measurements using a Bayesian estimation method. Using this method, we obtain estimates of the full 3D OPDF for two model semidilute fd-virus (rodlike) dispersions at concentrations that are approximately equal to and twice the overlap concentration. From the OPDF, we calculate its second and fourth moments and compare these to predictions for a dilute suspension of rigid rods and to a recent theory for semidilute suspensions. Finally, we use both the theoretical and measured moments to calculate the stress, both for dilute and semidilute suspensions. These predictions are not only compared to each other, but also to measured values of the shear stress, and point to new insights into the behavior of suspensions of highly elongated particles in the transition between dilute and semidilute behavior. We also use this new framework to provide perspective on the connection between scalar parameterizations of scattering and the OPDF that have frequently been used in the past. The new tools developed in this work provide an unprecedented path toward experimental validation of dynamical theories of rodlike colloids and polymers, and for measurement of nonequilibrium structures and stresses of other complex fluids and soft materials with SAS.

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  • Received 21 January 2021
  • Accepted 19 May 2021

DOI:https://doi.org/10.1103/PhysRevMaterials.5.065601

©2021 American Physical Society

Physics Subject Headings (PhySH)

Fluid DynamicsPolymers & Soft Matter

Authors & Affiliations

Patrick T. Corona1, Kevin S. Silmore2, Raymond Adkins3, Christian Lang4, Minne Paul Lettinga5,6, James W. Swan2, L. Gary Leal1, and Matthew E. Helgeson1,*

  • 1University of California, Santa Barbara, Department of Chemical Engineering, Santa Barbara, California 93106, USA
  • 2Massachusetts Institute of Technology, Department of Chemical Engineering, Cambridge, Massachusetts 02139, USA
  • 3University of California, Santa Barbara, Department of Physics, Santa Barbara, California 93106, USA
  • 4Jülich Centre for Neutron Science, Heinz Maier-Leibnitz Zentrum, D-85747 Garching, Germany
  • 5ICS-3, Institut für Weiche Materie, Forschungszentrum Jülich, D-52425 Jülich, Germany
  • 6Laboratory for Soft Matter and Biophysics, KU Leuven, Celestijnenlaan 200D, B-3001 Leuven, Belgium

  • *Helgeson@ucsb.edu

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Issue

Vol. 5, Iss. 6 — June 2021

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