125 citations · 482 across the 12 of their papers we have counts for
4 papers · 1 filter
LeptonInjector and LeptonWeighter: A neutrino event generator and weighter for neutrino observatories
R. Abbasi, M. Ackermann, J. Adams +362
We present a high-energy neutrino event generator, called LeptonInjector, alongside an event weighter, called LeptonWeighter. Both are designed for large-volume Cherenkov neutrino…
Machine Learning Exchange-Correlation Potential in Time Dependent Density Functional Theory
Yasumitsu Suzuki, Ryo Nagai, Jun Haruyama
We propose a machine learning based approach to develop the exchange-correlation potential of time dependent density functional theory (TDDFT). The neural network projection from t…
Completing density functional theory by machine-learning hidden messages from molecules
Ryo Nagai, Ryosuke Akashi, Osamu Sugino
Kohn-Sham density functional theory is the base of modern computational approaches to electronic structures. Their accuracy vitally relies on the exchange-correlation energy functi…
Neural-network Kohn-Sham exchange-correlation potential and its out-of-training transferability
Ryo Nagai, Ryosuke Akashi, Shu Sasaki +1
We incorporate in the Kohn-Sham self consistent equation a trained neural-network projection from the charge density distribution to the Hartree-exchange-correlation potential $n \…