Quantum statistical models of hot dense matter

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In contemporary physics, a wide range of conditions is encountered, from absolute zero temperatures to those in stellar cores, and from gaseous densities to those significantly exceeding solid densities. Addressing many modern physics challenges necessitates extensive knowledge about matter's properties under various, often extreme, conditions. The accuracy of this data is crucial, as the reliability of numerous technological devices and physical installations hinges on it. Traditional models typically taught in theoretical physics courses fall short when describing matter across a broad spectrum of temperatures and densities. Furthermore, experiments designed to gather data on matter's properties under extreme conditions often face substantial technical challenges and can be prohibitively expensive. Therefore, it is essential to systematically develop and refine quantum-statistical models and methods for calculating these properties, while also comparing computational results with experimental data. Currently, literature on these topics is lacking. For instance, when discussing opacity—which influences radiative heat conductivity at high temperatures—references can be made to works by D. A. Frank-Kamenetskii and R. D. Cowan, among others.