Design of radionuclide separations based on MD simulations.

Area of Science:

• Materials Science
• Computational Chemistry
• Nuclear Chemistry

Background:

• Developing selective materials for radionuclide separation is time-consuming and expensive.
• Traditional methods involve extensive chemical separations and optimization.
• Molecular dynamics (MD) simulations offer a way to streamline this process.

Purpose of the Study:

• To explore MD simulations for accelerating the identification of optimal separation conditions.
• To predict extractant-radionuclide affinity, reducing experimental efforts.
• To validate MD simulation predictions with experimental data.

Main Methods:

• MD simulations were used to study the separation of Sr²⁺ and Pb²⁺ using 18-crown-6.
• Various working media were investigated, including different acids and potassium thiocyanate.
• Experimental validation involved measuring distribution weight ratios (D_w) with immobilized crown ether.

Main Results:

• MD simulation predictions showed a strong correlation with experimental data.
• Acetic acid was identified as a medium favoring stable Sr²⁺ complexation over Pb²⁺.
• The effectiveness of MD simulations in predicting selectivity was confirmed.

Conclusions:

• MD simulations are a reliable tool for predicting extractant selectivity in radionuclide separation.
• This approach enables faster development of advanced materials for radionuclide separation.
• MD simulations reduce the time and resources required for experimental optimization.