Introduction
In today's chemical processes hundreds of thousands of components are used. The Chemical Abstracts Service registry lists 56 million substances, but many of these are only of scientific interest.
Process designers need to know some basic chemical properties of the components and their mixtures. Experimental measurement is often too expensive.
Predictive methods can replace measurements if they provide sufficiently good estimations. The estimated properties cannot be as precise as well-made measurements but for many purposes the quality of estimated properties is sufficient. Predictive methods can also be used to check the results of experimental work.
Read more about this topic: Group Contribution Method
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