Abbar, Sajad Max Planck Institute for Physics, Max Planck Society and Cooperation Partners;
https://arxiv.org/pdf/2303.05560.pdf (Any fulltext)
Abbar, S. (2023). Applications of machine learning to detecting fast neutrino flavor instabilities in core-collapse supernova and neutron star merger models. Physical Review D, 107, 103006. Retrieved from https://publications.mppmu.mpg.de/?action=search&mpi=MPP-2023-39.