Electron Scattering in Liquid Water and Amorphous Ice: A Striking Resemblance
arXiv:2003.14008 · doi:10.1103/PhysRevLett.124.205501
Abstract
The lack of accurate low-energy electron scattering cross sections for liquid water is a substantial source of uncertainty in the modelling of radiation chemistry and biology. The use of existing amorphous ice scattering cross sections for lack of liquid data has been discussed controversially over decades. Here, we compare experimental photoemission data of liquid water with corresponding predictions using amorphous ice cross sections, with the aim of resolving the debate regarding the difference of electron scattering in liquid water and amorphous ice. We find very similar scattering properties in the liquid and the ice for electron kinetic energies up to a few hundred electron volts. The scattering cross sections recommended here for liquid water are an extension of the amorphous ice cross sections. Within the framework of currently available experimental data, our work answers one of the most debated questions regarding electron scattering in liquid water.
References in corpus (4)
- Nanofocusing, shadowing, and electron mean free path in the photoemission from aerosol droplets
- Size-Resolved Photoelectron Anisotropy of Gas Phase Water Clusters and Predictions for Liquid Water
- Low-energy electron escape from liquid interfaces: charge and quantum effects
- Low-energy photoelectron transmission through aerosol overlayers
Cited by in corpus (6)
- Low-energy constraints on photoelectron spectra measured from liquid water and aqueous solutions
- Ångstrom depth resolution with chemical specificity at the liquid-vapor interface
- Below band gap formation of solvated electrons in neutral water clusters?
- Stopping cross-section for protons across different phases of water
- Post-collision interaction in the liquid phase: the role of electron scattering
- Inelastic scattering of electrons in water from first principles: cross sections and inelastic mean free path for use in Monte Carlo track-structure simulations of biological damage