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A Data Resource for Prediction of Thermodynamic Properties of Small Molecules

Authors: Bains, William; Petkowski, Janusz Jurand; Zhan, Zhuchang; Seager, Sara;

A Data Resource for Prediction of Thermodynamic Properties of Small Molecules

Abstract

We developed a database of 2869 experimental values of enthalpy of formation and 1403 values for entropy for substances composed of stable small molecules, derived from the literature. We developed a model for predicting enthalpy of formation and entropy from semiempirical quantum mechanical calculations of energy and atom counts, and applied the model to a comprehensive database of 16,417 small molecules. The database of small-molecule thermodynamic properties will be useful for predicting the outcome of any process that might involve the generation or destruction of volatile products, such as atmospheric chemistry, volcanism, or waste pyrolysis. Additionally, the collected experimental thermodynamic values will be of value to others developing models to predict enthalpy and entropy.

{"references": ["Bains et al (2022) \"A Data Resource for Prediction of Gas-Phase Thermodynamic Properties of Small Molecules\" Data 2022, 7(3), 33; https://doi.org/10.3390/data7030033"]}

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Keywords

thermodynamics, enthalpy, entropy, free energy

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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