Predicting Molecule Size Distribution in Hydrocarbon Pyrolysis using Random Graph Theory
Abstract/Contents
- Abstract
- Molecular Dynamics simulations that are used to train and test the model developed in the related paper.
Description
| Type of resource | Dataset, cartographic |
|---|---|
| Date created | January 1, 2019 - June 1, 2022 |
Creators/Contributors
| Author | Dufour-Décieux, Vincent |
|---|---|
| Author | Moakler, Christopher |
| Author | Cameron, Maria |
| Author | Reed, Evan |
Subjects
| Subject | Molecular dynamics > Computer simulation |
|---|---|
| Genre | Data |
| Genre | Geospatial data |
| Genre | Data sets |
| Genre | Dataset |
| Genre | Cartographic dataset |
Bibliographic information
Access conditions
- Use and reproduction
- User agrees that, where applicable, content will not be used to identify or to otherwise infringe the privacy or confidentiality rights of individuals. Content distributed via the Stanford Digital Repository may be subject to additional license and use restrictions applied by the depositor.
- License
- This work is licensed under a Creative Commons Attribution 4.0 International license (CC BY).
Preferred citation
- Preferred citation
- Dufour-Décieux, V., Moakler, C., Cameron, M., and Reed, E. (2022). Predicting Molecule Size Distribution in Hydrocarbon Pyrolysis using Random Graph Theory. Stanford Digital Repository. Available at https://purl.stanford.edu/qq718my6646
Collection
Stanford Research Data
View other items in this collection in SearchWorksContact information
- Contact
- vincent.dufourdecieux@gmail.com
Also listed in
Loading usage metrics...