Object's details: A journey from mechanistic to data-driven models in process engineering: dimensionality reduction, surrogate and hybrid approaches, and digital twins

Provider:Czasopisma PAN

Description

Title:
A journey from mechanistic to data-driven models in process engineering: dimensionality reduction, surrogate and hybrid approaches, and digital twins
Creator:
Bizon, Katarzyna
Contributor:
Bizon, Katarzyna : Cracow University of Technology, Faculty of Chemical Engineering and Technology,Warszawska 24, 31-155 Kraków, Poland
Description:
Chemical and Process Engineering: New Frontiers is a peer-reviewed research journal published in English. The journal has been coming out quarterly as Chemical and Process Engineering since 1980. Starting in 2023 the journal has changed and narrowed its scope focusing on new frontiers of chemical engineering that are key in addressing fundamental challenges in the coming decades. Accordingly, the journal encourages the researchers from academia and industry to submit their original papers on chemical and process engineering research in the following areas: • New Advanced (Nano) Materials • Environment & Water Processing (including circular economy) • Biochemical & Biomedical Engineering (including pharmaceuticals) • Climate & Energy (including energy conversion & storage, electrification, decarbonization) Papers concerning other important current trends in chemical engineering, e.g. digitalization and soft computing are also welcome. The publishable materials include experimental and theoretical research papers, short communications, critical reviews and perspective articles. Occasionally, Chemical and Process Engineering: New Frontiers publishes thematic Special Issues, as well as conference proceedings that fall within its scope. We particularly encourage young and aspiring scientists to submit their mauscripts to the journal. To facilitate them, we offer fast publishing of early-stage research works (e.g. conference posters, short communications) via a special quick peer-review track. Journal Metrics: IMPACT FACTOR 2022: 0.6 CiteScore 2022: 0.8 SCImago Journal Rank ( SJR) 2022: 0.139 Source Normalized Impact per Paper ( SNIP) 2022: 0.183 Ministry of Education and Science (2023): 100 points Submit your article;
Editor-in-Chief Andrzej I. Stankiewicz, Delft University of Technology, Netherlands 0000-0002-8227-9660 Andrzej Stankiewicz is Emeritus Professor at Delft University of Technology, The Netherlands, and former Director of the TU Delft Process Technology Institute. With 45 years of industrial and academic experience he is author of numerous scientific publications on process intensification, chemical reaction engineering and industrial catalysis. Professor Stankiewicz is Series Editor of the Green Chemistry Book Series (Royal Society of Chemistry) and former Managing Editor of Chemical Engineering and Processing: Process Intensification (Elsevier). The research interests of Andrzej Stankiewicz focus on intensification of chemical processes using electricity-based energy transfer mechanisms. The research in that field brought him, among other things, the prestigious ERC Advanced Investigator Grant. Prof. Stankiewicz is currently affiliated at Warsaw University of Technology where he continues his research on green fuels production and on novel energy storage systems using renewable electricity as primary energy source. Executive Editor Paweł Sobieszuk, Warsaw University of Technology, Poland 0000-0003-3648-5866 Technical Editor Barbara Zakrzewska, West Pomeranian University of Technology, Szczecin, Poland 0000-0001-7745-9272 Language Editor Marek Stelmaszczyk, West Pomeranian University of Technology, Szczecin, Poland
Object availability:
free access
Rights:
 Chemical and Process Engineering: New Frontiers is an open access journal with all content available with no charge in full text version. The journal content is available under the license CC BY 4.0 International <a href=" https://creativecommons.org/licenses/by/4.0/">https://creativecommons.org/licenses/by/4.0/</a>.
Date:
2023.09.25
Type:
Article accepted
Publisher:
Polish Academy of Sciences Committee of Chemical and Process Engineering
Subject:
reduced-order model;
data-driven model;
surrogate model;
hybrid model;
digital twin
Identifier:
ISSN 2300-1925 (Chemical and Process Engineering)
Data provider:
Czasopisma PAN

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Object's details: A journey from mechanistic to data-driven models in process engineering: dimensionality reduction, surrogate and hybrid approaches, and digital twins

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