Yang Jie, Nunes J Pedro F, Ledbetter Kathryn, Biasin Elisa, Centurion Martin, Chen Zhijiang, Cordones Amy A, Crissman Christopher, Deponte Daniel P, Glenzer Siegfried H, Lin Ming-Fu, Mo Mianzhen, Rankine Conor D, Shen Xiaozhe, Wolf Thomas J A, Wang Xijie
SLAC National Accelerator Laboratory, Menlo Park, California, 94025, USA.
Department of Physics and Astronomy, University of Nebraska-Lincoln, Lincoln, Nebraska 68588, USA.
Phys Chem Chem Phys. 2021 Jan 21;23(2):1308-1316. doi: 10.1039/d0cp06045c.
Electron scattering on liquid samples has been enabled recently by the development of ultrathin liquid sheet technologies. The data treatment of liquid-phase electron scattering has been mostly reliant on methodologies developed for gas electron diffraction, in which theoretical inputs and empirical fittings are often needed to account for the atomic form factor and remove the inelastic scattering background. In this work, we present an alternative data treatment method that is able to retrieve the radial distribution of all the charged particle pairs without the need of either theoretical inputs or empirical fittings. The merits of this new method are illustrated through the retrieval of real-space molecular structure from experimental electron scattering patterns of liquid water, carbon tetrachloride, chloroform, and dichloromethane.
最近，超薄液膜技术的发展使得对液体样品进行电子散射成为可能。液相电子散射的数据处理大多依赖于为气体电子衍射开发的方法，在这种方法中，通常需要理论输入和经验拟合来考虑原子形状因子并去除非弹性散射背景。在这项工作中，我们提出了一种替代的数据处理方法，该方法能够在不需要理论输入或经验拟合的情况下检索所有带电粒子对的径向分布。通过从液态水、四氯化碳、氯仿和二氯甲烷的实验电子散射图案中检索实空间分子结构，说明了这种新方法的优点。
