Published June 13, 2023 | Version Manuscript Submission

Unlocking the Predictive Power of Quantum-Inspired Representations for Intermolecular Properties in Machine Learning

  • 1. Departament de Ciència de Materials i Química Física and IQTCUB, Universitat de Barcelona

Description

Dataset associated with the manuscript entitled "Unlocking the Predictive Power of Quantum-Inspired Representations for Intermolecular Properties in Machine Learning". 

See Readme file (markdown format) for details on how the data is structured in the "database" file.

Notes

Research Funded by the Spanish Ministerio de Economía y Competitividad (Project: CTQ2017-87773-P/AEI/FEDER), and the Spanish Ministerio de Ciencia e Innovación (Projects PID2020-117803GB-I00 and CEX2021-001202-M). The authors also acknowledge support from project grant 2021SGR00354 funded by the Generalitat de Catalunya. R.S. acknowledges a predoctoral FPI grant from MINECO under grant agreement CTQ2017-87773-P, and S.V. acknowledges Generalitat de Catalunya for a Beatriu de Pinós grant (BP00043).

Files

database.zip

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