Development of a method to model the mixing energy of solutions using COSMO molecular descriptors linked with a semi-empirical model using a combined ANN-QSPR methodology. (12th October 2020)
- Record Type:
- Journal Article
- Title:
- Development of a method to model the mixing energy of solutions using COSMO molecular descriptors linked with a semi-empirical model using a combined ANN-QSPR methodology. (12th October 2020)
- Main Title:
- Development of a method to model the mixing energy of solutions using COSMO molecular descriptors linked with a semi-empirical model using a combined ANN-QSPR methodology
- Authors:
- Sosa, Adriel
Ortega, Juan
Fernández, Luis
Palomar, José - Abstract:
- Highlights: Relationships between the model parameters and the molecular interactions is assumed. A link is established between the model-parameters/COSMO molecular descriptors pairs. A combined ANN-QSPR procedure is used to quantify the relation parameter/ descriptor. The work shows the feasibility of the methodology developed. Abstract: A methodology linking the interaction parameters of a semi-empirical model to COSMO molecular descriptors to represent the h E ( x ) is presented. A database of 4395 values of ester-alkane is used to check the procedure. Relationships are established for the model coefficients, a i1, i2, …ip, although only for a 12 and for a second parameter k 21, which governs the asymmetry of the representation of the mixing process. A discretization of the σ-profile and its statistical moments constitute two descriptors, as a vector, S σ - p r o f i l e j and S σ - m o m e n t p, for a 12 . A third molecular descriptor/vector, is described for k 21, based on the divergence of Kullback-Leibler and the molecules size, which is presented for the first time as: S R σ - p r o f i l e = A 1, A 2, D KL [ p 1 ( σ ) | | p 2 ( σ ) ], D KL [ p 2 ( σ ) | | p 1 ( σ ) ] The clustering of systems in a a 12 / k 21 -space is predictable with molecular descriptors in relation to their main interactions. An ANN-QSPR binomial estimates the parameters a 12 and k 21 from molecular descriptors. The methodology generalizes the procedure, acceptably representing the energeticHighlights: Relationships between the model parameters and the molecular interactions is assumed. A link is established between the model-parameters/COSMO molecular descriptors pairs. A combined ANN-QSPR procedure is used to quantify the relation parameter/ descriptor. The work shows the feasibility of the methodology developed. Abstract: A methodology linking the interaction parameters of a semi-empirical model to COSMO molecular descriptors to represent the h E ( x ) is presented. A database of 4395 values of ester-alkane is used to check the procedure. Relationships are established for the model coefficients, a i1, i2, …ip, although only for a 12 and for a second parameter k 21, which governs the asymmetry of the representation of the mixing process. A discretization of the σ-profile and its statistical moments constitute two descriptors, as a vector, S σ - p r o f i l e j and S σ - m o m e n t p, for a 12 . A third molecular descriptor/vector, is described for k 21, based on the divergence of Kullback-Leibler and the molecules size, which is presented for the first time as: S R σ - p r o f i l e = A 1, A 2, D KL [ p 1 ( σ ) | | p 2 ( σ ) ], D KL [ p 2 ( σ ) | | p 1 ( σ ) ] The clustering of systems in a a 12 / k 21 -space is predictable with molecular descriptors in relation to their main interactions. An ANN-QSPR binomial estimates the parameters a 12 and k 21 from molecular descriptors. The methodology generalizes the procedure, acceptably representing the energetic effects of solutions ( R 2 > 0.9). … (more)
- Is Part Of:
- Chemical engineering science. Volume 224(2020)
- Journal:
- Chemical engineering science
- Issue:
- Volume 224(2020)
- Issue Display:
- Volume 224, Issue 2020 (2020)
- Year:
- 2020
- Volume:
- 224
- Issue:
- 2020
- Issue Sort Value:
- 2020-0224-2020-0000
- Page Start:
- Page End:
- Publication Date:
- 2020-10-12
- Subjects:
- COSMO -- Modelling -- ANN-QSPR -- Mixing energy -- Molecular-descriptor
Chemical engineering -- Periodicals
Génie chimique -- Périodiques
Chemical engineering
Periodicals
Electronic journals
660 - Journal URLs:
- http://www.sciencedirect.com/science/journal/00092509 ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.ces.2020.115764 ↗
- Languages:
- English
- ISSNs:
- 0009-2509
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 3146.000000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 13810.xml