62 citations · 65 across the 2 of their papers we have counts for
2 papers
nucl-ex2024★ 3 cited
Investigating the effects of precise mass measurements of Ru and Pd isotopes on machine learning mass modeling
W. S. Porter, B. Liu, D. Ray +19
Atomic masses are a foundational quantity in our understanding of nuclear structure, astrophysics and fundamental symmetries. The long-standing goal of creating a predictive global…
nucl-th2022★ 62 cited
Physically Interpretable Machine Learning for nuclear masses
M. R. Mumpower, T. M. Sprouse, A. E. Lovell +1
We present a novel approach to modeling the ground state mass of atomic nuclei based directly on a probabilistic neural network constrained by relevant physics. Our Physically Inte…