XRTS benchmark on warm dense Al demonstrates that uniform-electron-gas models overestimate plasmon resonance energy by up to 8 eV while ab initio calculations including disorder agree with experiment.
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No single post-Moore technology replaces current HPC for plasma simulations, but FPGA-class accelerators offer near-term kernel offload, non-von Neumann architectures medium-term operator acceleration, and quantum computing long-term potential for warm dense matter microphysics.
The paper reviews the use of the imaginary-time correlation function to extract temperature, normalization, and Rayleigh weight from XRTS spectra without model dependence.
Quantum effects govern behavior in warm dense matter and inertial fusion plasmas and are best modeled by combining quantum methods through downfolding from first-principles simulations.
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A Momentum-Resolved X-ray Thomson Scattering Benchmark of Electronic-Response Models in Warm Dense Aluminium
XRTS benchmark on warm dense Al demonstrates that uniform-electron-gas models overestimate plasmon resonance energy by up to 8 eV while ab initio calculations including disorder agree with experiment.