We propose an approach that can accurately predict the heat conductivity of liquid water. On
the one hand, we develop an accurate machine-learned potential based on the
neuroevolution-potential approach that can achieve quantum-mechanical accuracy at the
cost of empirical force fields. On the other hand, we combine the Green–Kubo method and
the spectral decomposition method within the homogeneous nonequilibrium molecular
dynamics framework to account for the quantum-statistical effects of high-frequency …