COMPUTER METHOD AND SYSTEM FOR PREDICTING PHYSICAL PROPERTIES USING A CONCEPTUAL SEGMENT-BASED IONIC ACTIVITY COEFFICIENT MODEL

Patent №

US 7,809,540

Granted

2010-10-05

Filed 2005

Owner

ASPEN TECHNOLOGY, INC.

Lab

AI components

1

hardware

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

11241675

In the present invention the NonRandom Two-Liquid segment activity coefficient model system of the parent application is extended for computation of ionic activity coefficients and solubilities of electrolytes, organic and inorganic, in common solvents and solvent mixtures. The invention method and system may be applied to the chemical and/or pharmaceutical design process. In addition to the three types of molecular parameters defined for organic nonelectrolytes, i.e., hydrophobicity X, polarity Y, and hydrophilicity Z, an electrolyte parameter, E, is introduced to characterize both local and long-range ion-ion and ion-molecule interactions attributed to ionized segments of electrolytes. Successful representations of mean ionic activity coefficients and solubilities of electrolytes, inorganic and organic, in aqueous and nonaqueous solvents are presented.

AI classification

AI hardware1.00
Evolutionary computation0.03
Machine learning0.01
Vision0.00
Speech0.00
Natural language0.00
Knowledge representation0.00
Planning0.00

Ownership

ASPEN TECHNOLOGY, INC.

assignment · 170620041

Assignors

CHEN, CHAU-CHYUN, SONG, YUHUA

On an employer assignment, the assignors are typically the inventors.

From the same owner

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