Educational Version

The Educational Version is designed to be used for lectures and exercises and to give teachers and students nearly all the possibilities of the full Dortmund Data Bank (DDB) and the integrated software package. To achieve this for a small fraction of the price of the commercial version, some of the very complex and advanced features were left out and the experimental data banks are limited to 30 common components and their mixtures.

Nevertheless, this makes more than 80,000 real world data sets from the open literature and private communications available for examination, regression and graphical representation.

Using a large number of group contribution methods (like Joback, Ambrose, Benson, UNIFAC) or COSMO-RS (Ol) for pure and mixture properties (like VLE or LLE), data can easily be estimated from molecular structure. Just draw the molecule using our convenient structure editor Predict Pure and click the property you need.

The package comes with extended documentation and course material (Powerpoint® slides).

Applications

Use this product to

  • incorporate modern methods and data into teaching
  • have your students examine real world experimental data
  • let them get acquainted to experimental scattering and reliability of data
  • get hands on experience with a large variety of estimation methods
  • teach them to use the most sophisticated tool for physical property estimation, which is also used by many companies worldwide
  • let them explore thermodynamic relationships between different types of data (e. g. pure component vapor pressures and enthalpy of vaporization)
  • let them explore the performance of thermodynamic models for the simultaneous description of different types of data (VLE, hE, γ,…)
  • Search, regress, estimate, visualize, … physical property data to be used in design projects

Included Components

List of Components in the Educational Version

DDB Number

Name CAS-RN Formula Data Overview
Complete DDB
8 1,2-Ethanediol 107-21-1 C2H6O2 Overview
364 1,3-Butadiene 106-99-0 C4H6 Overview
39 1-Butanol 71-36-3 C4H10O Overview
100 1-Hexene 592-41-6 C6H12 Overview
95 2-Propanol 67-63-0 C3H8O Overview
84 Acetic acid 64-19-7 C2H4O2 Overview
80 Acetic acid butyl ester 123-86-4 C6H12O2 Overview
4 Acetone 67-64-1 C3H6O Overview
3 Acetonitrile 75-05-8 C2H3N Overview
31 Benzene 71-43-2 C6H6 Overview
1050 Carbon dioxide 124-38-9 CO2 Overview
47 Chloroform 67-66-3 CHCl3 Overview
50 Cyclohexane 110-82-7 C6H12 Overview
12 Diethyl ether 60-29-7 C4H10O Overview
11 Ethanol 64-17-5 C2H6O Overview
21 Ethyl acetate 141-78-6 C4H8O2 Overview
516 Hexadecane 544-76-3 C16H34 Overview
89 Hexane 110-54-3 C6H14 Overview
1051 Methane 74-82-8 CH4 Overview
110 Methanol 67-56-1 CH4O Overview
284 N-Methyl-2-pyrrolidone 872-50-4 C5H9NO Overview
123 Naphthalene 91-20-3 C10H8 Overview
1056 Nitrogen 7727-37-9 N2 Overview
4577 Potassium chloride 7447-40-7 KCl Overview
4911 Sodium chloride 7647-14-5 NaCl Overview
542 Sulfolane 126-33-0 C4H8O2S Overview
159 Tetrahydrofuran 109-99-9 C4H8O Overview
174 Water 7732-18-5 H2O Overview
175 m-Xylene 108-38-3 C8H10 Overview
176 p-Xylene 106-42-3 C8H10 Overview

 

Scope of delivery

Pure component and mixture data for 30 common components. Includes data retrieval, graphical representation for all data banks. Data Bank Add-On for Fitting and Plotting: Extended parameter fitting, prediction and graphical representation for VLE, hE, LLE and azeotropic data. Includes gE models and equations of state as well as electrolyte models. Mixture Data Bank Add-On - Prediction Methods: Prediction of mixture data using UNIFAC, mod. UNIFAC, PSRK. Extended graphical representations for multicomponent mixtures. Predict Pure (Basic Version): Pure component property estimation from chemical structure for 20 group contribution methods (like Joback and Benson), graphical editor for molecular structures, structure data base (approx. 70,000 structures) and data input editors for experimental data.