Constant current continuous wave Nuclear Magnetic Resonance (NMR) has been an essential
tool for polarized target experiments in Nuclear and High-energy physics. Q-meter based phase-
sensitive detection can provide accurate monitoring of the polarization over the course of a
scattering experiment with limitations due to some operational parameters. In this talk, we present
recent studies of improved signal to noise in NMR-based Spin-1 polarization measurements
as well as reliable measurements outside of the designated range of the Q-meter’s operational
parameters with the use of machine learning (ML). This approach will allow for real time online
polarization monitoring and offline polarization data analysis for improved overall figure of merit
for experiments using solid state polarized targets.