66 citations · 576 across the 31 of their papers we have counts for
Showing 2019 · physics.comp-phShow all
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physics.comp-ph2019★ 5 cited
Stochastic estimations of a total number of classes for the clusterings with too enormous samples to be accommodate into a clustering engine
Keishu Utimula, Genki I. Prayogo, Kousuke Nakano +2
We considered the problem how to handle the exploding number of possibilities to be sorted into irreducible classes by using a clustering tool when its input capacity cannot accomm…
physics.comp-ph2019★ 17 cited
Speeding up the ab initio diffusion Monte Carlo by a smart lattice regularization
Kousuke Nakano, Ryo Maezono, Sandro Sorella
One of the most significant drawbacks of the all-electron ab initio diffusion Monte Carlo (DMC) is that its computational cost drastically increases with the atomic number (), w…