34 citations · 67 across the 5 of their papers we have counts for
5 papers
Neural Structure Fields with Application to Crystal Structure Autoencoders
Naoya Chiba, Yuta Suzuki, Tatsunori Taniai +4
Representing crystal structures of materials to facilitate determining them via neural networks is crucial for enabling machine-learning applications involving crystal structure es…
Rethinking Symbolic Regression Datasets and Benchmarks for Scientific Discovery
Yoshitomo Matsubara, Naoya Chiba, Ryo Igarashi +1
This paper revisits datasets and evaluation criteria for Symbolic Regression (SR), specifically focused on its potential for scientific discovery. Focused on a set of formulas used…
Tensor Renormalization Group with Randomized Singular Value Decomposition
Satoshi Morita, Ryo Igarashi, Hui-Hai Zhao +1
An algorithm of the tensor renormalization group is proposed based on a randomized algorithm for singular value decomposition. Our algorithm is applicable to a broad range of two-d…
The second-order reduced density matrix method and the two-dimensional Hubbard model
James S. M. Anderson, Maho Nakata, Ryo Igarashi +2
The second-order reduced density matrix method (the RDM method) has performed well in determining energies and properties of atomic and molecular systems, achieving coupled-cluster…
Ground-state properties of the one-dimensional attractive Hubbard model with confinement: a comparative study
Ji-Hong Hu, Jing-Jing Wang, Gao Xianlong +4
We revisit the one-dimensional attractive Hubbard model by using the Bethe-ansatz based density-functional theory and density-matrix renormalization method. The ground-state proper…