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20102026
most citedOGB-LSC: A Large-Scale Challenge for Machine Learning on Graphs

121 citations · 230 across the 13 of their papers we have counts for

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physics.chem-ph2023★ 5 cited

PubChemQC B3LYP/6-31G*//PM6 dataset: the Electronic Structures of 86 Million Molecules using B3LYP/6-31G* calculations

Maho Nakata, Toshiyuki Maeda

This article presents the "PubChemQC B3LYP/6-31G*//PM6" dataset, containing electronic properties of 85,938,443 molecules. It includes orbitals, orbital energies, total energies, d…

physics.chem-ph2023

3D Molecular Geometry Analysis with 2D Graphs

Zhao Xu, Yaochen Xie, Youzhi Luo +7

Ground-state 3D geometries of molecules are essential for many molecular analysis tasks. Modern quantum mechanical methods can compute accurate 3D geometries but are computationall…

physics.chem-ph2019★ 81 cited

PubChemQC PM6: A dataset of 221 million molecules with optimized molecular geometries and electronic properties

Maho Nakata, Tomomi Shimazaki, Masatomo Hashimoto +1

We report on the largest dataset of optimized molecular geometries and electronic properties calculated by the PM6 method for 92.9% of the 91.2 million molecules cataloged in PubCh…

physics.chem-ph2015★ 1 cited

The PubChemQC Project: a large chemical database from the first principle calculations

Maho Nakata

In this research, we have been constructing a large database of molecules by {\it ab initio} calculations. Currently, we have over 1.53 million entries of 6-31G* B3LYP optimized ge…

physics.chem-ph2011

On the size-consistency of the reduced-density-matrix method and the unitary invariant diagonal -representability conditions

Maho Nakata

Variational calculation of the ground state energy and its properties using the second-order reduced density matrix (2-RDM) is a promising approach for quantum chemistry. A major o…