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Key to your industrial applications is having a database that is easy to find and easy to get. The TPC (Thermo-Physico-Chemical) property values of MOL-Instincts are determined based on two steps: Step 1 to apply our innovative computational technologies based on quantum chemistry, fundamental theories, and modern modeling approaches, and step 2 to perform manual inspection based on chemical analysis theories, e.g., similarity analysis. Most of the property data including physical, physicochemical, thermochemical, thermodynamic, thermophysical, and transport properties are available in MOLINSTINCTS.
- Constant TPC PropertiesThere are 35 important properties which are invariant with temperature. Critical properties for your reactions and chemical processes covered by MOL-Instincts includes, acentric factor, normal boiling point, critical compressibility factor, critical pressure/temperature/volume, dipole moment, electron affinity, enthalpy (heat) of formation/combustion/fusion, entropy, flammability limit, flash point, Gibbs free energy, ionization potential, liquid molar volume, parachor, polarizability, refractive (refraction) index, Hildebrand solubility parameter, radius of gyration, Van der Waals area & volume, and magnetic susceptibility. Simply click and get the property as needed.
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- Values obtained from other widely used methods as well as from MOL-Instincts are available for comparison. Deviations from the experimental data are also provided if the data are available in our collection for 5+ years.
- Temperature Dependent TPC PropertiesMOL-Instincts has 11 temperature dependent properties, and more systematic information is available for you. Industrially important properties, e.g., heat (thermal) capacity, enthalpy (heat) of vaporization, liquid density, thermal conductivity, vapor pressure, chemical (molecular) viscosity, second virial coefficient, and surface tension, are covered.
- Property values from MOL-Instincts and other methods are provided in a table, which can be copied and pasted into another program. The level of accuracy is again available compared to the experimental data if they are found in our collection. The property values are presented in a 2-dimensional chart as well for better analysis.