To circumvent this, deep reaction networks are typically generated using sampling heuristics meant to discover plausible reaction sequences. The paradigmatic example is the ab initio nanoreactor (AINR) algorithm developed by Wang et al. that uses low-level quantum chemistry with high pressures and temperatures to accelerate reactions on the molecular dynamics (MD) timescale. To reduce the high computational costs associated with ab initio MD in the AINR, Liu et al.