Armstrong, M.J., Beris, A.N. and Wagner, N.J. (2016) An Adaptive Parallel Tempering Method for the Dynamic Data-Driven Parameter Estimation of Nonlinear Models. AIChE Journal, 63, 1937-1958.
https://doi.org/10.1002/aic.15577

has been cited by the following article:

• TITLE: Correlating Rheological Experiments, TEVP Models, and Microstructure with Small Angle Light Scattering

  AUTHORS: Matthew J. Armstrong, André M. Pincot

  KEYWORDS: Small Angle Light Scattering, Microstructure, Rheology, Thixo-Elastic-Viscoplastic Materials

  JOURNAL NAME: Open Journal of Fluid Dynamics, Vol.12 No.1, February 16, 2022

  ABSTRACT: The existence of an evolving microstructure in a 2.9 vol% fumed silica in paraffin oil and polyisobutylene is demonstrated experimentally and via rheological modeling during steady state and large amplitude oscillatory shear flow. The continuously evolving, rebuilding, and breaking down of the microstructure is shown, and correlated through the rheology experiments, thixo-elastovisco-plastic modeling, and small angle light scattering (SALS). All elements are then connected via a global, stochastic optimization algorithm that will provide parameter estimation with a “best-fit” of the steady state and transient data using the well-known Modified Delaware Thixotropic Model, allowing for the comparison of SALS results with experimental values.