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Digital Chemical Engineering is a peer-reviewed journal published by Elsevier, covering Fault Detection and Control Systems, Advanced Control Systems Optimization, Process Optimization and Integration.
| Publisher | Elsevier |
|---|---|
| Reference style | Numbered (Elsevier) Numbered — [1], [2] in the text [1] A. Smith, B. Jones, C. Lee, A representative article title, Digital Chemical Engineering 12 (2023) 45–58.
Formats any DOI in Digital Chemical Engineering style. No sign-up. |
| Publishes research in | Fault Detection and Control Systems Advanced Control Systems Optimization Process Optimization and Integration Machine Learning in Materials Science Reservoir Engineering and Simulation Methods |
| ISSN | 2772-5081 |
| Citation impact (2-yr) | 4.47 |
| h-index | 28 |
| i10-index | 102 |
| Total citations | 3,353 |
| Article processing charge | $1,800 |
| Open access | Yes |
| Top institutions publishing here | University of California, Los Angeles |
| Journal website | www.journals.elsevier.com |
| You get | A submission-ready PDF and the editable LaTeX source — ready to submit. |
Citations each year’s papers have accumulated so far — the most recent years are still building up.
Prediction of air pollution index may help in traffic routing and identifying serious pollutants. Modeling of the complex relationships between these variables by sophisticated methods in machine learning is a promising field. The objective of this work is to compare the various machine learning methods such as SARIMA, SVM and LSTM for the prediction of…
The term hybrid modeling refers to the combination of parametric models (typically derived from knowledge about the system) and nonparametric models (typically deduced from data). Despite more than 20 years of research, over 150 scientific publications (Agharafeie et al., 2023), and some recent industrial applications on this topic, the capabilities of hybrid models often seem…
The thermochemical conversion of biomass is a promising technology due to its cost-effectiveness and feedstock flexibility, with pyrolysis being a particularly noteworthy method for its diverse product range. Despite the potential of pyrolysis, commercialization remains elusive, and there is a growing need to fully understand its dynamics to facilitate process scaling up. However, waste biomass…
In this study, a 3-D multiphase model of the proton exchange membrane (PEM) electrolyzer is developed on an open-source computational fluid dynamics (CFD) platform, OpenFOAM. A pseudo-coupling method is presented to consider the detailed two-phase distribution conditions at the interface between the flow channel and liquid/gas diffusion layer (L/GDL) in anode flow channel of a…
Large amount of food and agricultural residues are discharged as municipal wastes. These biogenic waste possess high sugar content and are being dumped into landfills or incinerated, creating severe environmental challenges. Anaerobic co-digestion (AcD) of food waste and agricultural residues provides a sustainable valorisation route for biogas production. Biochar addition promotes the microbial activity, electrical…
