Published September 19, 2023 | Version 1.0
Dataset Open

Dataset for Machine Learning Framework for Modeling Exciton-Polaritons in Molecular Materials

Description

The data consists of several NumPy arrays saved in the binary format (npy files) with a total size of 108 MB. The details of these files are listed below.

Filename and path

Description

training/azo_R.npy

Coordinates for training

training/azo_Z.npy

Atomic indices for training

training/azo_E.npy

Molecular energies for training

training/azo_D.npy

Transition dipoles for training

training/azo_ScaledNACR.npy

Non-adiabatic coupling vectors scaled by energy difference for training

scan/azo_R.npy

Coordinates for PES scan

scan/azo_Z.npy

Atomic indices for PES scan

scan/azo_E.npy

Molecular energies for PES scan

scan/azo_D.npy

Transition dipoles for PES scan

scan/azo_ScaledNACR.npy

Non-adiabatic coupling vectors scaled by energy difference for PES scan

spectrum/azo_R.npy

Coordinates for spectrum calculations

spectrum/azo_Z.npy

Atomic indices for spectrum calculations

spectrum/azo_E.npy

Molecular energies for spectrum calculations

spectrum/azo_D.npy

Transition dipoles for spectrum calculation

Notes

The dataset is open-sourced under LA-UR-23-30660.

Files

Files (98.6 MB)

Name Size Download all
md5:644c0b892ca5cb92f5fc09b0b68d39df
98.6 MB Download

Additional details

Related works

Is compiled by
Software: https://github.com/lanl/nexmd (URL)
Is referenced by
Software: https://github.com/lanl/hippynn (URL)
Is supplement to
Journal article: https://arxiv.org/abs/2306.02523 (URL)