학술논문

Thermal transport in warm dense matter revealed by refraction-enhanced x-ray radiography with a deep-neural-network analysis
Document Type
Original Paper
Source
Communications Physics. 6(1)
Subject
Language
English
ISSN
2399-3650
Abstract
Transport properties of high energy density matter affect the evolution of many systems, ranging from the geodynamo in the Earth’s core, to hydrodynamic instability growth in inertial confinement fusion capsules. Large uncertainties of these properties are present in the warm dense matter regime where both plasma models and condensed matter models become invalid. To overcome this limit, we devise an experimental platform based on x-ray differential heating and time-resolved refraction-enhanced radiography coupled to a deep neural network. We retrieve the first measurement of thermal conductivity of CH and Be in the warm dense matter regime and compare our measurement with the most commonly adopted models. The discrepancies observed are related to the estimation of a correction term from electron-electron collisions. The results necessitate improvement of transport models in the warm dense matter regime and could impact the understanding of the implosion performance for inertial confinement fusion.
Thermal transport in high-energy-density matter is key to understand systems as the geodynamic in the Earth’s core or the hydrodynamic instability in inertial confinement fusion capsules. The authors measure the thermal conductivity of warm dense CH and Be by coupling x-ray differential heating and time-resolved refraction-enhanced radiography.