Flowchart of the neural network-based electric field reconstruction process, including (a) creating the conceptual experiment setup, (b) importing the electric field profile from the simulation, (c) generating the corresponding pit distribution using test particle simulations, (d) generating training data and training the neural network model, and (e) reconstructing the electric field profile. Fig. 5 of the paper by A. Mizuta et al. https://doi.org/10.1002/ctpp.70019
The temperature-density domain of interest illustrating the approximate region of warm dense matter (WDM) (orange region) and the conditions found within several astrophysical objects. The upper mass density scale refers to the hydrogen plasma considered. The lines of constant coupling parameters (purple) delineate the transition between the weakly and strongly coupled regimes. Similarly, the black line marks the points where the thermal energy is equal to the Fermi energy, indicating the relevance of quantum degeneracy effects. Fig. 1 of the paper by Samuel Schumacher et al. https://doi.org/10.1002/ctpp.70002
Induced Compton scattering (CS) is a quantum nonlinear interaction between an intense electromagnetic field and a rarefied plasma. Although the induced CS is expected to occur in radiation fields with high brightness temperatures such as pulsars in nature, the principle of induced CS has not been proven experimentally. Therefore, we conducted a proof-of-principle experiment of induced CS using an ultra-intense laser. We measured the scattered spectra due to the interaction between the ultra-intense laser and plasma. The observed spectrum shows a nonlinear redshift, which can be explained by induced CS. We also performed particle-in-cell simulations, in which induced CS is not included, and found that the experimental results are not explained by classical plasma physics.
This study investigates the synthesis of carbon nanoparticles in DC glow discharge plasma using acetylene as a precursor. Characterization of the deposited nanoparticles showed clear differences between the anode and cathode surfaces, with the anode having a more amorphous, oxidized structure and the cathode containing more crystalline, graphitic carbon, as confirmed by Raman and XPS analyses. These differences in surface composition were related to the plasma conditions and the role of electric fields in nanoparticle deposition. In addition, electron temperature measurements showed a transient increase after acetylene injection, followed by stabilization as nanoparticle agglomeration reduced the particle density in the plasma. Taken together, the results highlight the interconnectedness of the processes governing nanoparticle synthesis and provide insight into the influence of plasma dynamics on nanoparticle formation and properties.
In this paper, dense plasma is studied using the pseudopotential approach to account for the effect of the bound electrons on the electron-ion potential shape near the ion core. The impact of the ion core effect on the structural and thermodynamic properties of dense plasmas is investigated taking into account both shielding effects and exchange-correlation screening. The effects of electronic exchange and correlation are considered by using the static local field correction in the long-wavelength limit. The ion core significantly affects the radial distribution functions and thermodynamic properties at a considered range of plasma parameters, including non-isothermal plasma conditions. The radial distribution functions indicate strong electron clustering for a smaller minimum depth due to stronger screening, while larger steepness of the core edge shifts the peaks to shorter distances, while for the same cases the non-ideality corrections increase.
3D plots of ion density, temperature and polytropic coefficient for a fixed potential ϕ = 0.5. Fig. 10 of the paper by Majid Khan et al. https://doi.org/10.1002/ctpp.70010
This paper presents a detailed study of the stopping power of a homogeneous electron gas in moderate and strong coupling regimes using the self-consistent version of the method of moments as the key theoretical approach capable of expressing the dynamic characteristics of the system in terms of the static ones, which are the moments. We develop a robust framework that relies on nine sum rules and other exact relationships to analyze electron–electron interactions and their impact on energy loss processes. We derive an expression for the stopping power that takes into account both quantum statistical effects and electron correlation phenomena. Our results demonstrate significant deviations from classical stopping power predictions, especially under the strong coupling conditions, where electron dynamics are highly dependent on the collective behavior. This work not only advances the theoretical understanding of the homogeneous electron gas but also has implications for practical applications in fields such as plasma physics and materials science.
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