ChiroptMap: Orbital-Cube-Free Transition-Moment Density Maps from Gaussian and ORCA
- 1Research Center for Macromolecules and Biomaterials, National Institute for Materials Science, 1-2-1 Sengen, Tsukuba, Ibaraki, Japan, 305-0047
- 2Institute for Solid State Physics, University of Tokyo, 5-1-5 Kashiwanoha, Kashiwa, Chiba, Japan, 277-8581
Abstract
Earlier cube-based workflows generated electric-and magnetic-dipole transition-moment maps from molecular-orbital cubes exported with Gaussian cubegen from formatted-checkpoint data. ChiroptMap instead evaluates canonical orbitals and analytical derivatives blockwise from Gaussian WFX or an ORCA output/JSON/WFX bridge, eliminating intermediate orbital cubes while retaining final visualization cubes and S1–S6 CPL CSV values. Across ten Gaussian S1 TDA/TD-DFT cases, the median MDTM norm discrepancy decreased from 1.214% to 0.0541%, whereas EDTM recovery was unchanged; five S1/TDA cross-engine benchmarks gave mean field differences of 1.061% (electric) and 1.774% (magnetic), and the retained footprint decreased by 99.17%. Independent coefficient-print and spatial-grid tests support IOp(9/40=4) for the tested state while requiring both sources of numerical convergence to be assessed.
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BibTeX
@misc{nagata2026chiroptmap,
title = {{ChiroptMap: Orbital-Cube-Free Transition-Moment Density Maps from Gaussian and ORCA}},
author = {Yuuya Nagata and Takashi Hirose},
howpublished = {ChemRxiv},
year = {2026},
month = sep,
doi = {10.26434/chemrxiv.15008398/v1},
url = {https://chemrxiv.org/doi/full/10.26434/chemrxiv.15008398/v1},
note = {CC BY},
}
RIS
TY - UNPB
TI - ChiroptMap: Orbital-Cube-Free Transition-Moment Density Maps from Gaussian and ORCA
AU - Yuuya Nagata
AU - Takashi Hirose
PY - 2026
DA - 2026/09/07
PB - ChemRxiv
DO - 10.26434/chemrxiv.15008398/v1
UR - https://chemrxiv.org/doi/full/10.26434/chemrxiv.15008398/v1
AB - Earlier cube-based workflows generated electric-and magnetic-dipole transition-moment maps from molecular-orbital cubes exported with Gaussian cubegen from formatted-checkpoint data. ChiroptMap instead evaluates canonical orbitals and analytical derivatives blockwise from Gaussian WFX or an ORCA output/JSON/WFX bridge, eliminating intermediate orbital cubes while retaining final visualization cubes and S1–S6 CPL CSV values. Across ten Gaussian S1 TDA/TD-DFT cases, the median MDTM norm discrepancy decreased from 1.214% to 0.0541%, whereas EDTM recovery was unchanged; five S1/TDA cross-engine benchmarks gave mean field differences of 1.061% (electric) and 1.774% (magnetic), and the retained footprint decreased by 99.17%. Independent coefficient-print and spatial-grid tests support IOp(9/40=4) for the tested state while requiring both sources of numerical convergence to be assessed.
ER -