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Applications of Machine Learning to Predicting Core-collapse Supernova Explosion OutcomesASTROPHYSICAL JOURNAL LETTERSIF11.72022-09-2218OA
Efficient method for estimating the time evolution of the proto-neutron star mass and radius from a supernova neutrino signalMONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETYIF4.82022-03-3019OA
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Binary-stripped Stars as Core-collapse Supernovae ProgenitorsASTROPHYSICAL JOURNAL LETTERSIF11.72021-07-2330OA
Supernova neutrino signals based on long-term axisymmetric simulationsMONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETYIF4.82021-06-2437OA
Core-collapse supernova neutrino emission and detection informed by state-of-the-art three-dimensional numerical modelsMONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETYIF4.82020-10-1756OA
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A systematic study of proto-neutron star convection in three-dimensional core-collapse supernova simulationsMONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETYIF4.82020-01-2862OAAI