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Area of Science:

  • Nuclear power engineering
  • Radiochemistry
  • Computational quantum chemistry

Background:

  • Assessing the radiolytic stability of media is crucial in nuclear power and radiochemistry.
  • Experiments require specialized conditions and ionizing radiation sources, posing risks and analytical challenges.
  • Current methods necessitate extensive laboratory work, increasing staff exposure and complicating product analysis.

Purpose of the Study:

  • To present a computational tool for simulating radiolysis processes.
  • To reduce the number of necessary experimental studies.
  • To aid in understanding the mechanisms of radiolytic reactions.

Main Methods:

  • Development of the Qb@ll software shell.
  • Implementation of time-dependent density functional theory (TDDFT) simulations.
  • Application of quantum chemistry principles to model radiolysis.

Main Results:

  • The Qb@ll program provides a computational approach to study radiolysis.
  • TDDFT simulations offer insights into reaction pathways and mechanisms.
  • The software facilitates a deeper understanding of irradiated media behavior.

Conclusions:

  • Computational methods, specifically TDDFT via Qb@ll, offer a viable alternative/complement to experimental radiolysis studies.
  • This approach enhances safety by minimizing direct exposure to ionizing radiation.
  • The Qb@ll program aids in elucidating complex radiolytic reaction mechanisms.