The ThermoData Engine fully implements all major principles of the concept of dynamic data evaluation formulated at NIST?s Thermodynamics Research Center (TRC). Dynamic data evaluation relies on large electronic databases to store the currently known experimental data along with detailed descriptions of relevant metadata and uncertainties. Combining this data with expert software allows the ThermoData Engine to producing data compilations 'to order' which include all major thermophysical properties (such as density, vapor pressure, heat capacity, enthalpies of phase transitions, critical properties, melting and boiling points, etc). As the name of this resource implies, its scope is pure compounds, binary mixtures and reactions. If you are only interested in pure compounds please see NIST ThermoData Engine - Pure Compounds - SRD 103a (https://www.nist.gov/srd/nist-standard-reference-database-103a).
About this Dataset
Title | NIST ThermoData Engine - Pure Compounds, Binary Mixtures and Reactions - SRD 103b |
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Description | The ThermoData Engine fully implements all major principles of the concept of dynamic data evaluation formulated at NIST?s Thermodynamics Research Center (TRC). Dynamic data evaluation relies on large electronic databases to store the currently known experimental data along with detailed descriptions of relevant metadata and uncertainties. Combining this data with expert software allows the ThermoData Engine to producing data compilations 'to order' which include all major thermophysical properties (such as density, vapor pressure, heat capacity, enthalpies of phase transitions, critical properties, melting and boiling points, etc). As the name of this resource implies, its scope is pure compounds, binary mixtures and reactions. If you are only interested in pure compounds please see NIST ThermoData Engine - Pure Compounds - SRD 103a (https://www.nist.gov/srd/nist-standard-reference-database-103a). |
Modified | 2024-10-01 00:00:00 |
Publisher Name | National Institute of Standards and Technology |
Contact | mailto:[email protected] |
Keywords | ThermoML , Thermodynamics Research Center , consistency enforcement , data retrieval , experimental data , fitting , grouping , normalization , prediction , sorting , thermochemical , thermodynamics , thermophysical |
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