Macromolecular properties from light-scattering experimental data using linear inverse problem theory
Abstract
The inversion of the temporal correlation function in dynamic light-scattering experimental data for polyethylene oxide + H2O + NaCl is treated in the present work. The relaxation time distribution function for this ill-posed problem is obtained by a recurrent neural network, using analytical inverse Laplace transform as the initial condition. Diffusion coefficient and particle size distributions can also be retrieved from this relaxation time distribution, providing important information for the experimental researcher. © 2006 Wiley Periodicals, Inc. Int J Quantum Chem, 2006
