Author

Mohan, A.T.

4 papers·172 citations in this corpus

	Paper	Category
Apr 19, 2023#22304.08546	Bayesian averaging for ground state masses of atomic nuclei in a Machine Learning approach M. R. Mumpower · M. Li · T. M. Sprouse · B. S. Meyer · A. E. Lovell · A. T. Mohan	nucl-th	Front.in Phys.	13
Mar 22, 2022#22203.10594	Physically Interpretable Machine Learning for nuclear masses M. R. Mumpower · T. M. Sprouse · A. E. Lovell · A. T. Mohan	nucl-th	PRC	67
Jan 4, 2022#52201.00676	Nuclear masses learned from a probabilistic neural network A.E. Lovell · A.T. Mohan · T.M. Sprouse · M.R. Mumpower	nucl-th	PRC	60
May 8, 2020#32005.03198	Quantifying Uncertainties on Fission Fragment Mass Yields With Mixture Density Networks A.E. Lovell · A.T. Mohan · P. Talou	nucl-th	J.Phys.G	32

Bayesian averaging for ground state masses of atomic nuclei in a Machine Learning approach
M. R. Mumpower · M. Li · T. M. Sprouse · B. S. Meyer · A. E. Lovell · A. T. Mohan
Apr 19, 2023#2nucl-thFront.in Phys.13 citations
Physically Interpretable Machine Learning for nuclear masses
M. R. Mumpower · T. M. Sprouse · A. E. Lovell · A. T. Mohan
Mar 22, 2022#2nucl-thPRC67 citations
Nuclear masses learned from a probabilistic neural network
A.E. Lovell · A.T. Mohan · T.M. Sprouse · M.R. Mumpower
Jan 4, 2022#5nucl-thPRC60 citations
Quantifying Uncertainties on Fission Fragment Mass Yields With Mixture Density Networks
A.E. Lovell · A.T. Mohan · P. Talou
May 8, 2020#3nucl-thJ.Phys.G32 citations

Showing 1–4 of 4·25 / 50 / 100per page

Page 1 of 1

Shows only papers in the locally ingested corpus, matched through the INSPIRE author identity. This may not match the author's full publication record.

Mohan, A.T.

Bayesian averaging for ground state masses of atomic nuclei in a Machine Learning approach

Physically Interpretable Machine Learning for nuclear masses

Nuclear masses learned from a probabilistic neural network

Quantifying Uncertainties on Fission Fragment Mass Yields With Mixture Density Networks