Electric microfields in dense carbon-hydrogen plasmas.

Area of Science:

• Plasma Physics
• Computational Physics
• Quantum Chemistry

Background:

• Hot, dense plasmas are crucial in astrophysics and fusion research.
• Understanding microfield behavior is key to modeling atomic processes in plasmas.
• Classical molecular dynamics requires quantum statistical potentials (QSPs) for electron effects.

Purpose of the Study:

• Investigate stationary and time-dependent microfield properties in hot, dense electron-ion plasmas.
• Determine optimal time-averaging methods for extracting quasistatic microfields from simulations.
• Analyze microfield trends in C-H plasma mixtures across various carbon fractions and temperatures.

Main Methods:

• Employed classical molecular dynamics simulations.
• Utilized quantum statistical potentials (QSPs) to model electron diffraction and exchange symmetry.
• Developed a time-averaging approach incorporating plasma and atomic time scales.

Main Results:

• Microfield distributions are largely insensitive to the choice of QSPs.
• Time-averaged microfields exhibit stability over extended simulation periods.
• Observed trends in C-H plasmas with varying compositions and temperatures above TFermi.

Conclusions:

• The study provides insights into microfield dynamics in dense plasmas.
• A robust method for extracting quasistatic microfields from simulations was established.
• Findings contribute to accurate modeling of atomic processes in complex plasma environments.