Validation of Long-Range-Corrected LC2gau Functional for Koopmans’ Prediction of Core and Valence Ionization Energies with Diverse Data

Koopmans' theorem, based on Kohn-Sham (KS) orbital energies of current approximate functionals, does not predict well the ionization energies of 1s, 2s, and 2p core electrons in third-period elements due to the self-interaction errors (SIEs). To address this limitation, the LC2gau functional is developed, which we have validated in the present study. With a fixed range-separation parameter (μ) of 0.35 bohr<sup>-1</sup>, it yields a mean absolute deviation (MAD) of 0.37 eV for 401 valence ionization energies from the Chong-Gritsenko-Baerends (CGB) set and an MAD of 0.20 eV for the highest occupied molecular orbital (HOMO) ionization energies of 34 molecules containing third-period elements. It is less accurate in predicting core electron binding energies (CEBEs) of third-period elements. With μ = 0.35 bohr<sup>-1</sup>, the MAD of CEBEs is 1.30 eV. We observed that the CEBE increases linearly with μ and tuned it for each element. For 2s and 2p electrons in third-period elements, the optimal μ values are approximately 0.35 and 0.30 bohr<sup>-1</sup>, respectively. For the corresponding 1s electrons, the optimal μ varies across elements, gradually decreasing from 0.40 bohr<sup>-1</sup> for Si to 0.12 bohr<sup>-1</sup> for Cl. With the optimized μ, a smaller MAD of 0.64 eV is obtained for CEBEs of the third-period elements.

Authors

Institutions

Publication Details

Journal
The Journal of Physical Chemistry A
Published
2025-04-29
DOI
https://doi.org/10.1021/acs.jpca.5c01769
Primary Topic
Mass Spectrometry Techniques and Applications
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Validation of Long-Range-Corrected LC2gau Functional for Koopmans’ Prediction of Core and Valence Ionization Energies with Diverse Data

Jong‐Won Song, D. S. Ahn, Takahito Nakajima, Kimihiko Hirao et al.
The Journal of Physical Chemistry A
Mass Spectrometry Techniques and Applications
article

Validation of Long-Range-Corrected LC2gau Functional for Koopmans’ Prediction of Core and Valence Ionization Energies with Diverse Data

Jong‐Won Song, D. S. Ahn, Takahito Nakajima, Kimihiko Hirao, Bun Chan
article en

Abstract

Koopmans' theorem, based on Kohn-Sham (KS) orbital energies of current approximate functionals, does not predict well the ionization energies of 1s, 2s, and 2p core electrons in third-period elements due to the self-interaction errors (SIEs). To address this limitation, the LC2gau functional is developed, which we have validated in the present study. With a fixed range-separation parameter (μ) of 0.35 bohr<sup>-1</sup>, it yields a mean absolute deviation (MAD) of 0.37 eV for 401 valence ionization energies from the Chong-Gritsenko-Baerends (CGB) set and an MAD of 0.20 eV for the highest occupied molecular orbital (HOMO) ionization energies of 34 molecules containing third-period elements. It is less accurate in predicting core electron binding energies (CEBEs) of third-period elements. With μ = 0.35 bohr<sup>-1</sup>, the MAD of CEBEs is 1.30 eV. We observed that the CEBE increases linearly with μ and tuned it for each element. For 2s and 2p electrons in third-period elements, the optimal μ values are approximately 0.35 and 0.30 bohr<sup>-1</sup>, respectively. For the corresponding 1s electrons, the optimal μ varies across elements, gradually decreasing from 0.40 bohr<sup>-1</sup> for Si to 0.12 bohr<sup>-1</sup> for Cl. With the optimized μ, a smaller MAD of 0.64 eV is obtained for CEBEs of the third-period elements.

The Journal of Physical Chemistry AVol. 129(18)
Kyoto University (JP), RIKEN Center for Computational Science (JP), Nagasaki University (JP), Daegu University (KR)
Affordable and clean energy
Openalex Percentile: Top 92%
Mass Spectrometry Techniques and Applications
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.