Accurate Dehydrogenation Enthalpies Dataset for Liquid Organic Hydrogen Carriers

This contribution presents a comprehensive extension of the QM9 dataset (originally at 133 K molecules) with the calculation of G4MP2 enthalpies for 9,841 molecules, featuring up to nine heavy atoms. We present QM9-LOHC, a (de)hydrogenation dataset of 10,373 reactions, including a minimum of 5.5% weight hydrogen storage capacity in line with the Department of Energy standards for Liquid Organic Hydrogen Carriers (LOHC). By utilizing the accurate quantum chemical method G4MP2 we expand the QM9 database and explore new avenues for the exploration of hydrogen storage technologies (electrochemical LOHCs, alkali metal-LOHCs, and mixtures of LOHCs). The QM9-LOHC dataset, with its focus on reactions that vary only by hydrogen saturation levels, provides a needed data resource for advancing the design and optimization of both conventional and innovative LOHC systems, and high-fidelity data for molecular discovery.

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Publication Details

Journal
Scientific Data
Published
2025-01-29
DOI
https://doi.org/10.1038/s41597-025-04468-0
Citations
4
Primary Topic
Machine Learning in Materials Science
Type
article
Field-Weighted Citation Impact
2.07

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article

Accurate Dehydrogenation Enthalpies Dataset for Liquid Organic Hydrogen Carriers

Logan Ward, Sarah N. Elliott, Ian Foster, Hassan Harb et al.
4 citations
Scientific Data
Machine Learning in Materials Science
2.07
article

Accurate Dehydrogenation Enthalpies Dataset for Liquid Organic Hydrogen Carriers

Logan Ward, Sarah N. Elliott, Ian Foster, Hassan Harb, Larry A. Curtiss, Stephen J. Klippenstein, Rajeev S. Assary
article en
4 citations

Abstract

This contribution presents a comprehensive extension of the QM9 dataset (originally at 133 K molecules) with the calculation of G4MP2 enthalpies for 9,841 molecules, featuring up to nine heavy atoms. We present QM9-LOHC, a (de)hydrogenation dataset of 10,373 reactions, including a minimum of 5.5% weight hydrogen storage capacity in line with the Department of Energy standards for Liquid Organic Hydrogen Carriers (LOHC). By utilizing the accurate quantum chemical method G4MP2 we expand the QM9 database and explore new avenues for the exploration of hydrogen storage technologies (electrochemical LOHCs, alkali metal-LOHCs, and mixtures of LOHCs). The QM9-LOHC dataset, with its focus on reactions that vary only by hydrogen saturation levels, provides a needed data resource for advancing the design and optimization of both conventional and innovative LOHC systems, and high-fidelity data for molecular discovery.

Scientific DataVol. 12(1)
Argonne National Laboratory (US)
U.S. Department of Energy, Office of Science, Office of Energy Efficiency and Renewable Energy, Laboratory Directed Research and Development, Bioenergy Technologies Office, Argonne National Laboratory
Openalex Percentile: Top 15%
Machine Learning in Materials Science
2.07
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Accurate Dehydrogenation Enthalpies Dataset for Liquid Organic Hydrogen Carriers — Logan Ward, Sarah N. Elliott, et al. · Scientific Data (2025) | TGRS Research Map | TGRS