Estimating sulfur content of hydrogen sulfide at elevated temperatures and pressures using an artificial neural network algorithm
Data and Resources
Additional Info
| Field | Value |
|---|---|
| Source | ISSN: 0888-5885 |
| Author | Mohammadi, Amir H., Richon, Dominique |
| Maintainer | CCSD |
| Last Updated | May 13, 2026, 09:54 (UTC) |
| Created | May 13, 2026, 09:54 (UTC) |
| Identifier | hal-00797790 |
| Language | en |
| contributor | CEP/Fontainebleau ; Centre Énergétique et Procédés (CEP) ; Mines Paris - PSL (École nationale supérieure des mines de Paris) ; Université Paris Sciences et Lettres (PSL)-Université Paris Sciences et Lettres (PSL)-Mines Paris - PSL (École nationale supérieure des mines de Paris) ; Université Paris Sciences et Lettres (PSL)-Université Paris Sciences et Lettres (PSL) |
| creator | Mohammadi, Amir H. |
| date | 2008-11-05T00:00:00 |
| harvest_object_id | 4bed2457-343b-48f6-ad35-c656cbc66eaf |
| harvest_source_id | 3374d638-d20b-4672-ba96-a23232d55657 |
| harvest_source_title | test moissonnage SELUNE |
| metadata_modified | 2024-08-27T00:00:00 |
| relation | info:eu-repo/semantics/altIdentifier/doi/10.1021/ie8004463 |
| set_spec | type:ART |