A computer-aided methodology for optimal solvent design for reactions with experimental verification Academic Article uri icon

abstract

  • An extension of a hybrid experimental/computer-aided methodology for the design of solvents for reactions is presented. Previous work (Foli et al., 2004a,b) was based on the use of reaction rate measurements to build a reaction model, followed by the formulation and solution of an optimal computer-aided molecular design problem (CAMD). In this work, feedback is introduced in the methodology to verify the suitability of the solvent candidates identified in the CAMD step via experimentation and to assess the reliability of the model used in the CAMD step. When the reliability of the model is found to be insufficient, experimental data for the candidate solvents are added to the original data set to create an updated reaction model which can be used to find new candidate solvents. This methodology is illustrated through application to a solvolysis reaction and to a Menschutkin reaction. 2005 Elsevier B.V. All rights reserved.

published proceedings

  • European Symposium on Computer-Aided Process Engineering-15, 20A and 20B

author list (cited authors)

  • Folic, M., Adjiman, C. S., & Pistikopoulos, E. N.

citation count

  • 4

complete list of authors

  • Folic, M||Adjiman, CS||Pistikopoulos, EN

publication date

  • December 2005