Data modeled using standardized correlations (such as the DIPPR 106 or 107 equations) to describe properties over a temperature range. These include: Liquid density Vapor pressure Heat capacity ( Cpcap C sub p ) for ideal gas and liquids Surface tension Viscosity and thermal conductivity Applications in Industry and Research
If experimental data is missing, DIPPR uses state-of-the-art prediction methods to ensure a complete chemical profile [25, 29]. dippr database
The DIPPR database (specifically known as the database) is a curated collection of experimentally determined and critically evaluated physical and thermodynamic properties for thousands of pure chemical compounds. Data modeled using standardized correlations (such as the