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Structure retrieval in liquid-phase electron scattering.

Jie Yang1, J Pedro F Nunes2, Kathryn Ledbetter3

  • 1SLAC National Accelerator Laboratory, Menlo Park, California, 94025, USA. jieyang@slac.stanford.edu wangxj@slac.stanford.edu and Stanford PULSE Institute, SLAC National Accelerator Laboratory, Menlo Park, California, 94025, USA.

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Summary
This summary is machine-generated.

A new data treatment method for electron scattering on liquid samples eliminates the need for theoretical inputs or empirical fittings. This approach successfully retrieves real-space molecular structures from experimental data, advancing liquid-phase electron diffraction analysis.

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Area of Science:

  • Materials Science
  • Chemistry
  • Physics

Background:

  • Recent advancements in ultrathin liquid sheet technologies enable electron scattering on liquid samples.
  • Current data treatment for liquid-phase electron scattering often relies on gas electron diffraction methods, requiring theoretical inputs and empirical fittings.
  • These fittings are necessary to address the atomic form factor and eliminate inelastic scattering backgrounds.

Purpose of the Study:

  • To present an alternative data treatment method for liquid-phase electron scattering.
  • To demonstrate a method that retrieves radial distribution of charged particle pairs without theoretical or empirical inputs.
  • To validate the method by retrieving real-space molecular structures of various liquid samples.

Main Methods:

  • Developed a novel data treatment methodology for electron scattering data from liquid samples.
  • Applied the method to experimental electron scattering patterns obtained from liquid water, carbon tetrachloride, chloroform, and dichloromethane.
  • The method bypasses the need for atomic form factor calculations and inelastic scattering background removal through theoretical or empirical means.

Main Results:

  • Successfully retrieved the radial distribution of all charged particle pairs from the liquid samples.
  • Demonstrated the capability to obtain real-space molecular structures without relying on theoretical models or empirical adjustments.
  • Validated the effectiveness of the new method across diverse liquid molecular structures.

Conclusions:

  • The presented data treatment method offers a significant advancement for analyzing electron scattering data from liquid samples.
  • This approach simplifies the analysis process by removing the dependency on theoretical inputs and empirical fittings.
  • The successful retrieval of molecular structures highlights the method's potential for accurate structural determination in liquid-phase electron scattering.