Summary

The interaction of free electrons with gas-phase molecules underpins processes in plasma technology, atmospheric chemistry, astrochemistry and radiation biology. When an electron collides with a molecule, outcomes range from elastic scattering and vibrational or electronic excitation to ionisation and attachment. The probability of each outcome is encapsulated in energy-dependent cross sections, which are sensitive to molecular structure, electronic states and collision energy. Accurate cross-section data are crucial for modelling non-thermal plasmas in semiconductor etching and fusion research, predicting radiation damage in biological tissues, tracing chemical pathways in planetary atmospheres and optimising electron-beam fabrication techniques. Experimental approaches, including crossed-beam measurements and mass-spectrometric methods, provide benchmark data, while theoretical tools—such as the R-matrix method, binary-encounter-Bethe models and Monte Carlo simulations—offer ab initio and semi-empirical estimates. Recent advances have elucidated the role of transient negative-ion states, resolved resonant scattering features and extended data sets to complex and heavy-atom targets. The growth of user-friendly computational platforms has democratized high-fidelity collision calculations, fostering integrated studies that combine experimental precision with theoretical rigour. Such synergy continues to refine our understanding of fundamental collision mechanisms and supports the development of predictive models for emerging applications in green hydrogen production, environmental monitoring and nanoscale manufacturing.

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Electron-Molecule Collision Dynamics publication trend

The graph below shows the total number of articles in electron-molecule collision dynamics across all publications each year (not limited to Nature Index journals).

Technical terms

Cross section: A measure of the probability that an electron–molecule collision will result in a specific outcome, expressed as an effective target area.

R-matrix method: A quantum scattering approach that partitions configuration space to compute electron–molecule collision observables from first principles.

Dissociative electron attachment: A process in which an incident electron is temporarily captured by a molecule, forming a transient negative ion that fragments into an anion and neutral species.

Binary-encounter-Bethe model: A semi-empirical theory combining binary collision concepts and Bethe’s high-energy formalism to calculate ionisation cross sections and differential energy spectra.

References

  1. The Role of Molecular Structure in Monte Carlo Simulations of the Secondary Electron Yield and Backscattering Coefficient from Methacrylic Acid. Molecules (2023).
  2. Theoretical cross sections for electron collisions relevant for ammonia discharges part 1: NH3, NH2, and NH. Plasma Sources Science and Technology (2023).
  3. The Binary-Encounter-Bethe Model for Computation of Singly Differential Cross Sections Due to Electron-Impact Ionization. Atoms (2022).

About these summaries

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