AI Article Synopsis
- A new model called the "random-walk shielding-potential viscosity model" (RWSP-VM) has been developed to calculate the viscosities of warm dense metals by incorporating random-walk ion statistics and the Debye shielding effect.
- The model has been tested on various metals (Be, Al, Fe, U) and its results align well with viscosities obtained from molecular dynamics simulations, confirming its validity.
- Comparisons with other viscosity models show that RWSP-VM provides consistent results, suggesting it is a versatile and efficient tool for studying metal viscosities in warm dense conditions with potential applications across multiple fields.
Article Abstract
We develop a model, called the "random-walk shielding-potential viscosity model" (RWSP-VM) that introduces the statistics of random-walk ions and the Debye shielding effect to describe the viscosities of warm dense metals. The viscosities of several metals with low to high atomic numbers (Be, Al, Fe, and U) are calculated using the analytical expression of RWSP-VM. Additionally, we simulate the viscosities of Fe and Be by employing the Langevin molecular dynamics (MD) and classical MD, while the MD data for Al and U are obtained from a previous work. The results of the RWSP-VM are in good agreement with the MD results, which validates the proposed model. Furthermore, we compare the RWSP-VM with the one-component plasma model and Yukawa viscosity model and show that the three models yield results in excellent agreement with each other in the regime where the RWSP-VM is applicable. These results indicate that the RWSP-VM is a universal, accurate, and highly efficient model for calculating the viscosity of metals in the warm dense state. The code of the proposed RWSP-VM is provided, and it is envisaged that it will have broad application prospects in numerous fields.
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