35 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Brigham and Women's HospitalUS2 papers
- Harvard UniversityUS2 papers
- Illinois Institute of TechnologyUS2 papers
- Saint Mary's CollegeUS2 papers
- Technical University of DenmarkDK2 papers
- Universidad del NoresteMX2 papers
- University of Central FloridaUS2 papers
- Applied Mathematics (United States)US1 paper
- Northeastern UniversityUS1 paper
- Oklahoma State UniversityUS1 paper
- Southern Illinois University EdwardsvilleUS1 paper
- Washington State UniversityUS1 paper
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nucl-th2025★ 2 cited
Further exploration of binding energy residuals using machine learning and the development of a composite ensemble model
I. Bentley, J. Tedder, M. Gebran +1
This paper describes the development of the Four Model Tree Ensemble (FMTE). The FMTE is a composite of machine learning models trained on experimental binding energies from the At…
nucl-th2024★ 9 cited
High Precision Binding Energies from Physics Informed Machine Learning
Ian Bentley, James Tedder, Marwan Gebran +1
Twelve physics-informed machine learning models have been trained to model binding energy residuals. Our approach begins with determining the difference between measured experiment…