Switching between different levels of resolution is essential for multiscale modeling, but restoring details at higher remains challenging. In our previous study, we have introduced deepBackmap, a deep neural-network-based approach to reverse-map equilibrated molecular structures condensed-phase systems. Our method combines data-driven and physics-based aspects, leading high-quality reconstruct...
