Estimating Sulfur Content of Hydrogen Sulfide at Elevated Temperatures and Pressures Using an Artificial Neural Network Algorithm
- DOI
- 10.1021/ie8004463
- Published
- 2008-09-26
- Container
- Industrial & Engineering Chemistry Research
- Publisher
- American Chemical Society (ACS)
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1021/ie8004463,
title = {Estimating Sulfur Content of Hydrogen Sulfide at Elevated Temperatures and Pressures Using an Artificial Neural Network Algorithm},
author = {Amir H. Mohammadi and Dominique Richon},
year = {2008},
journal = {Industrial \& Engineering Chemistry Research},
doi = {10.1021/ie8004463},
url = {https://doi.org/10.1021/ie8004463}
}RIS
TY - JOUR TI - Estimating Sulfur Content of Hydrogen Sulfide at Elevated Temperatures and Pressures Using an Artificial Neural Network Algorithm AU - Amir H. Mohammadi AU - Dominique Richon PY - 2008 JO - Industrial & Engineering Chemistry Research DO - 10.1021/ie8004463 UR - https://doi.org/10.1021/ie8004463 ER -
APA
Mohammadi, A. H., & Richon, D. (2008). Estimating Sulfur Content of Hydrogen Sulfide at Elevated Temperatures and Pressures Using an Artificial Neural Network Algorithm. Industrial & Engineering Chemistry Research. https://doi.org/10.1021/ie8004463
Source records
- crossref · retrieved 2026-09-25T16:58:51.220Z