  We present a set of self-consistent cross sections for electron transport in
gaseous tetrahydrofuran (THF), that refines the set published in our previous
study [J. de Urquijo et al., J. Chem. Phys. 151, 054309 (2019)] by proposing
modifications to the quasielastic momentum transfer, neutral dissociation,
ionisation and electron attachment cross sections. These adjustments are made
through the analysis of pulsed-Townsend swarm transport coefficients, for
electron transport in pure THF and in mixtures of THF with argon. To automate
this analysis, we employ a neural network model that is trained to solve this
inverse swarm problem for realistic cross sections from the LXCat project. The
accuracy, completeness and self-consistency of the proposed refined THF cross
section set is assessed by comparing the analysed swarm transport coefficient
measurements to those simulated via the numerical solution of Boltzmann's
equation.
