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We review experimental and theoretical cross sections for electron transportin $\alpha$-tetrahydrofurfuryl alcohol (THFA) and, in doing so, propose aplausible complete set. To assess the accuracy and self-consistency of ourproposed set, we use the pulsed-Townsend technique to measure drift velocities,longitudinal diffusion coefficients and effective Townsend first ionisationcoefficients for electron swarms in admixtures of THFA in argon, across a rangeof density-reduced electric fields from 1 Td to 450 Td. These measurements arethen compared to simulated values derived from our proposed set using amulti-term solution of Boltzmann's equation. We observe discrepancies betweenthe simulation and experiment, which we attempt to address by employing aneural network model that is trained to solve the inverse swarm problem ofunfolding the cross sections underpinning our experimental swarm measurements.What results from our neural network-based analysis is a refined set ofelectron-THFA cross sections, which we confirm is of higher consistency withour swarm measurements than that we initially proposed. We also use our database to calculate electron transport coefficients in pure THFA, across a rangeof reduced electric fields from 0.001 Td to 10,000 Td.

An improved set of electron-THFA cross sections refined through a neural network-based analysis of swarm data