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Prediction of Critical Temperatures and Pressures of Industrially Important Organic Compounds from Molecular Structure
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inferred← citeshttps://doi.org/10.1002/9780470125939.ch2openalex-snapshot
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inferred← citeshttps://doi.org/10.1002/aic.17004openalex-snapshot
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inferred← citeshttps://doi.org/10.1002/chin.199845274openalex-snapshot
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inferred← citeshttps://doi.org/10.1002/chin.200322295openalex-snapshot
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inferred← citeshttps://doi.org/10.1002/minf.201400036openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/s10973-007-8354-7openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/s11705-026-2638-6openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/s11705-026-2675-1openalex-snapshot
ACGC plus: a general group contribution framework for diverse properties prediction
inferred← citeshttps://doi.org/10.1007/s12648-013-0402-5openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.compchemeng.2007.06.006openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.cplett.2022.140088openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.fluid.2007.09.022openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.fluid.2010.07.014openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.jct.2010.05.009openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.jmgm.2023.108450openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.tca.2017.06.021openalex-snapshot
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