Papers filter the publication list

• Uncertainty quantification of mass models using Ensemble Bayesian Model Averaging PRC 109 054301 (2024)
• Physically Interpretable Machine Learning for nuclear masses PRCL 106 021301 (2022)
• Nuclear masses learned from a probabilistic neural network PRC 106 014305 (2022)

Presentations filter the presentation list

• Machine Learning the ground state masses of atomic nuclei Triangle Nuclear Theory seminar (03/2023)
• Modeling masses with an artificial neural network Fall DNP (10/2022)
• Prediction of nuclear masses with an artificial neural network Nuclear Structure (2022) (06/2022)
• Machine Learning and Artificial Intelligence for computational nuclear data IAEA: AI 4 Atoms (10/2021)