| Title |
Using Machine Learning to Predict Enthalpy of Solvation
|
|---|---|
| Published in |
Journal of Solution Chemistry, March 2019
|
| DOI | 10.1007/s10953-019-00867-1 |
| Authors |
Brandon J. Jaquis, Ailin Li, Nolan D. Monnier, Robert G. Sisk, William E. Acree, Andrew S. I. D. Lang |
Mendeley readers
The data shown below were compiled from readership statistics for 21 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 21 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 5 | 24% |
| Student > Bachelor | 4 | 19% |
| Researcher | 2 | 10% |
| Student > Master | 2 | 10% |
| Student > Doctoral Student | 1 | 5% |
| Other | 4 | 19% |
| Unknown | 3 | 14% |
| Readers by discipline | Count | As % |
|---|---|---|
| Chemistry | 9 | 43% |
| Chemical Engineering | 2 | 10% |
| Computer Science | 2 | 10% |
| Mathematics | 1 | 5% |
| Environmental Science | 1 | 5% |
| Other | 2 | 10% |
| Unknown | 4 | 19% |