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Knowing the characteristic relaxation time of free electrons in a dense plasma is crucial to our understanding of plasma equilibration and transport. However, experimental investigations of electron relaxation dynamics have been hindered by the ultra-fast, sub-femtosecond time scales on which these interactions typically take place. Here we propose a novel approach that uses x-rays from a free electron laser to generate well-defined non-thermal electron distributions, which can then be tracked via emission spectroscopy from radiative recombination as they thermalize. Collisional radiative simulations reveal how this method can enable the measurement of electron relaxation time scales {\it in situ}, shedding light on the applicability and accuracy of the Coulomb Logarithm framework for modelling collisions in dense plasmas., Comment: 12 pages, 9 figures

Advancements in generative artificial intelligence (AI) have introduced various AI models capable of producing impressive visual design outputs. However, when it comes to AI models in the design process, prioritizing outputs that align with designers' needs over mere visual craftsmanship becomes even more crucial. Furthermore, designers often intricately combine parts of various designs to create novel designs. The ability to generate designs that align with the designers' intentions at the part level is pivotal for assisting designers. Hence, we introduced BOgen, which empowers designers to proactively generate and explore part-level designs through Bayesian optimization and variational autoencoders, thereby enhancing their overall user experience. We assessed BOgen's performance using a study involving 30 designers. The results revealed that, compared to the baseline, BOgen fulfilled the designer requirements for part recommendations and design exploration space guidance. BOgen assists designers in navigation and development, offering valuable design suggestions and fosters proactive design exploration and creation., Comment: 17 pages, 13 figures

In a post-thermal-quench plasma, mitigated or unmitigated, the plasma power balance is mostly between collisional or Ohmic heating and plasma radiative cooling. In a plasma of atomic mixture $\{n_\alpha\}$ with $\alpha$ labeling the atomic species, the power balance sets the plasma temperature, ion charge state distribution $\{n_\alpha^i\}$ with $i$ the charge number, and through the electron temperature $T_e$ and ion charge state distribution $\{n_\alpha^i\},$ the parallel electric field $E_\parallel.$ Since the threshold electric field for runaway avalanche growth $E_{av}$ is also set by the atomic mixture, ion charge state distribution and its derived quantity, the electron density $n_e,$ the plasma power balance between Ohmic heating and radiative cooling imposes a stringent constraint on the plasma regime for avoiding and minimizing runaways when a fusion-grade tokamak plasma is rapidly terminated.

The advent of x-ray free-electron lasers (XFELs) has enabled a range of new experimental investigations into the properties of matter driven to extreme conditions via intense x-ray-matter interactions. The femtosecond timescales of these interactions lead to the creation of transient high-energy-density plasmas, where both the electrons and the ions may be far from local thermodynamic equilibrium (LTE). Predictive modelling of such systems remains challenging because of the substantially different timescales on which electrons and ions thermalize, and because of the vast number of atomic configurations that are required to describe the resulting highly-ionized plasmas. Here we explore the evolution of systems driven to high energy densities using CCFLY, a non-LTE, Fokker-Planck collisional-radiative code. We use CCFLY to investigate the evolution dynamics of a solid-density plasma driven by an XFEL, and explore the relaxation of the plasma to local thermodynamic equilibrium on femtosecond timescales in terms of the charge state distribution, electron density, and temperature.

A minority relativistic electron component can arise in both laboratory and naturally-occurring plasmas. In the presence of high-atomic-number ion species, the ion charge state distribution at low bulk electron temperature can be dominated by relativistic electrons, even though their density is orders of magnitude lower. This is due to the relativistic enhancement of the collisional excitation and ionization cross sections. The resulting charge state effect can dramatically impact the radiative power loss rate and the related Bethe stopping power of relativistic electrons in a dilute plasma.

The reduction of graphene oxide is one of the most facile methods to fabricate a large amount of graphene and the reduction rate of graphene oxide is related with the quality of synthesized graphene for its possible application. The reduction rate is usually determined by using various spectroscopy measurements such as Raman spectroscopy, Fourier transform infrared spectroscopy, and X-ray photoelectron spectroscopy. Here we propose that the magnetic data can be used as a means of determining the quality of graphene oxide (GO) and reduced graphene oxide (RGO) by the investigation of close relation between magnetic moment and chemical bonding state. Our experimental findings and previous theoretical studies suggest that hydroxyl functional groups in GO mainly contribute to Langevin paramagnetism, carboxyl functional groups in RGO1 act as the source for Pauli paramagnetism, and sp2 bonding state in RGO2 plays a major role on the diamagnetism. Especially in terms of mass production, the magnetic data is useful for decomposing the chemical bonding electronic states in graphene-like samples and judging their quality., Comment: 17 pages, 4 figures

Based on the generalized Langevin equation for the momentum of a Brownian particle a generalized asymptotic Einstein relation is derived. It agrees with the well-known Einstein relation in the case of normal diffusion but continues to hold for sub- and super-diffusive spreading of the Brownian particle's mean square displacement. The generalized asymptotic Einstein relation is used to analyze data obtained from molecular dynamics simulations of a two-dimensional soft disk fluid. We mainly concentrated on medium densities for which we found super-diffusive behavior of a tagged fluid particle. At higher densities a range of normal diffusion can be identified. The motion presumably changes to sub-diffusion for even higher densities.

Brownian motion of single particles with various masses M and diameters D is studied by molecular dynamics simulations. Besides the momentum auto-correlation function of the Brownian particle the memory function and the fluctuating force which enter the generalized Langevin equation of the Brownian particle are determined and their dependence on mass and diameter are investigated for two different fluid densities. Deviations of the fluctuating force distribution from a Gaussian form are observed for small particle diameters. For heavy particles the deviations of the fluctuating force from the total force acting on the Brownian particle decrease linearly with the mass ratio m/M where m denotes the mass of a fluid particle.

The purpose of this study was to explore South Korean parents' understanding of and desires for music education for their children. Following a constructivist paradigm and qualitative research methodology, data collection involved in-depth interviews, observations, written questionnaires, family music materials, and the researcher's journals. The participants were 22 South Korean mothers whose children (younger than 5 years old) attended music programs in the Seoul metropolitan area. Data were analyzed by coding, description, constant comparison, inductive analysis, contextualization, negative case analysis, classification, and interpretation. Analyses revealed that these parents' goals for their children's participation in music programs included facilitating the child's development, enriching the child's life, preparing for future learning, and providing opportunities to play through music. They described the music programs according to the activities they observed or experienced but did not show deeper understanding about a program's philosophy or history. Family music practices indicated that the primary activities were singing, listening to music, playing instruments, and dancing/movement. Participants expressed the desire to learn music skills and knowledge not only for their children but also for themselves. The findings of this study demonstrate the necessity of education for parents of young children relating to various aspects of children's music education.