  A transformative science case for the proposed next-generation Very Large
Array (ngVLA) is resolving the surfaces of nearby stars, both spatially and
temporally, enabled by the combination of milliarcsecond-scale resolution and
unprecedented sensitivity to thermal radio emission. In a previous study, we
demonstrated the feasibility of stellar imaging with simulated observations of
nearby stars, using both traditional CLEAN techniques and newly developed
regularized maximum likelihood (RML) imaging methods for image reconstruction.
In this memo, we present a continued study of stellar imaging with the ngVLA,
evaluating the imaging capability of the Revision D (henceforth Rev D) Main
Array configuration compared to the previous Revision C (henceforth Rev C)
configuration. We find that the Rev D configuration, with more uniform coverage
and better circular symmetry, improves the synthesized beam, resulting in
better CLEAN reconstructions of simulated images of evolved stars with complex
morphology, especially with robust weighting. However, the highly non-Gaussian
nature of the synthesized beam still persists with both robust and natural
weightings in the Rev D configuration and continues to limit the image fidelity
of image reconstructions with non-uniform weighting. The RML methods show
stable performance that is resilient to different array configurations with
image quality comparable to or better than CLEAN methods in the presented
simulation, consistent with our previous work. Our simulation results suggest
that the Rev D configuration will provide a better deconvolution beam compared
with the Rev C configuration, which would enhance the imaging capability for
non-uniform weighting, and they continue to demonstrate that RML methods are an
attractive choice, even for the improved array configuration.
