Dataset Groups Activity Stream NuCLR: Nuclear Co-Learned Representations NuCLR: Nuclear Co-Learned Representations, a deep learning model that predicts various nuclear observables, including binding and decay energies, and nuclear charge radii. BibTex: @dataset{Ouail_Kitouni_and_Niklas_Nolte_and_Sokratis_Trifinopoulos_and_Subhash_Kantamneni_and_Mike_Williams_2025, abstract = {NuCLR: Nuclear Co-Learned Representations, a deep learning model that predicts various nuclear observables, including binding and decay energies, and nuclear charge radii.}, author = {Ouail Kitouni and Niklas Nolte and Sokratis Trifinopoulos and Subhash Kantamneni and Mike Williams}, doi = {10.57702/om9qdu7z}, institution = {No Organization}, keyword = {'binding energies', 'deep learning', 'machine learning', 'nuclear charge radii', 'nuclear observables'}, month = {jan}, publisher = {TIB}, title = {NuCLR: Nuclear Co-Learned Representations}, url = {https://service.tib.eu/ldmservice/dataset/nuclr--nuclear-co-learned-representations}, year = {2025} }
