activity
20182023
most citedConstructing approximate shell-model wavefunctions by eigenvector continuation

21 citations · 75 across the 6 of their papers we have counts for

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5 papers · 1 filter

nucl-th2023★ 3 cited

IMSRG-Net: A machine learning-based solver for In-Medium Similarity Renormalization Group

Sota Yoshida

We present a novel method, IMSRG-Net, which utilizes machine learning techniques as a solver for the in-medium Similarity Renormalization Group (IMSRG). The primary objective of IM…

nucl-th2022★ 2 cited

Exploring medium mass nuclei using effective chiral nucleon-nucleon interactions

Sota Yoshida

In the past decades, it has been shown that the three-body force is necessary for a fully microscopic understanding of nuclear many-body systems, and thus efficient schemes for sto…

nucl-th2021★ 21 cited

Constructing approximate shell-model wavefunctions by eigenvector continuation

Sota Yoshida, Noritaka Shimizu

Shell-model calculations play a key role in elucidating various properties of nuclei. In general, those studies require a huge number of calculations to be repeated for parameter c…

nucl-th2019★ 16 cited

Non-parametric Bayesian approach to extrapolation problems in configuration interaction methods

Sota Yoshida

We propose a non-parametric extrapolation method based on constrained Gaussian processes for configuration interaction methods. Our method has many advantages: (i) applicability to…

nucl-th2018★ 19 cited

Uncertainty quantification in nuclear shell model

Sota Yoshida, Noritaka Shimizu, Tomoaki Togashi +1

The uncertainty quantifications of theoretical results are of great importance to make meaningful comparisons of those results with experimental data and to make predictions in exp…