New mass measurements of 96-98Cd isotopes show the N=50 shell gap strengthens toward 100Sn, tightening constraints on the mass surface in that region.
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Causal convolutional neural networks reconstruct neutron star observables for static, Keplerian, and rotating configurations in about 50 milliseconds per equation of state, compared to 30 minutes with traditional RNS calculations.
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Constraining the trend of the $N = 50$ shell gap towards $^{100}$Sn with the masses of $^{96-98}$Cd
New mass measurements of 96-98Cd isotopes show the N=50 shell gap strengthens toward 100Sn, tightening constraints on the mass surface in that region.
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Reconstruction of fast-rotating neutron star observables with the neural network
Causal convolutional neural networks reconstruct neutron star observables for static, Keplerian, and rotating configurations in about 50 milliseconds per equation of state, compared to 30 minutes with traditional RNS calculations.