Van Krevelen diagrams based on machine learning visualize feedstock-product relationships in thermal conversion processes Article Swipe
Shule Wang
,
Yiying Wang
,
Ziyi Shi
,
Kang Sun
,
Yuming Wen
,
Łukasz Niedźwiecki
,
Ruming Pan
,
Yongdong Xu
,
Ilman Nuran Zaini
,
Katarzyna Jagodzińska
,
Christian Aragón-Briceño
,
Chuchu Tang
,
Thossaporn Onsree
,
Nakorn Tippayawong
,
Halina Pawlak-Kruczek
,
Pär G. Jönsson
,
Weihong Yang
,
Jianchun Jiang
,
Sibudjing Kawi
,
Chi‐Hwa Wang
·
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.1038/s42004-023-01077-z
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.1038/s42004-023-01077-z
Feedstock properties play a crucial role in thermal conversion processes, where understanding the influence of these properties on treatment performance is essential for optimizing both feedstock selection and the overall process. In this study, a series of van Krevelen diagrams were generated to illustrate the impact of H/C and O/C ratios of feedstock on the products obtained from six commonly used thermal conversion techniques: torrefaction, hydrothermal carbonization, hydrothermal liquefaction, hydrothermal gasification, pyrolysis, and gasification. Machine learning methods were employed, utilizing data, methods, and results from corresponding studies in this field. Furthermore, the reliability of the constructed van Krevelen diagrams was analyzed to assess their dependability. The van Krevelen diagrams developed in this work systematically provide visual representations of the relationships between feedstock and products in thermal conversion processes, thereby aiding in optimizing the selection of feedstock and the choice of thermal conversion technique.
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Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1038/s42004-023-01077-z
- https://www.nature.com/articles/s42004-023-01077-z.pdf
- OA Status
- gold
- Cited By
- 33
- References
- 75
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4389683974
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
-
https://openalex.org/W4389683974Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.1038/s42004-023-01077-zDigital Object Identifier
- Title
-
Van Krevelen diagrams based on machine learning visualize feedstock-product relationships in thermal conversion processesWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2023Year of publication
- Publication date
-
2023-12-13Full publication date if available
- Authors
-
Shule Wang, Yiying Wang, Ziyi Shi, Kang Sun, Yuming Wen, Łukasz Niedźwiecki, Ruming Pan, Yongdong Xu, Ilman Nuran Zaini, Katarzyna Jagodzińska, Christian Aragón-Briceño, Chuchu Tang, Thossaporn Onsree, Nakorn Tippayawong, Halina Pawlak-Kruczek, Pär G. Jönsson, Weihong Yang, Jianchun Jiang, Sibudjing Kawi, Chi‐Hwa WangList of authors in order
- Landing page
-
https://doi.org/10.1038/s42004-023-01077-zPublisher landing page
- PDF URL
-
https://www.nature.com/articles/s42004-023-01077-z.pdfDirect link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
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https://www.nature.com/articles/s42004-023-01077-z.pdfDirect OA link when available
- Concepts
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Raw material, Hydrothermal liquefaction, Process engineering, Process (computing), Torrefaction, Thermal, Materials science, Waste management, Pyrolysis, Computer science, Engineering, Chemistry, Biofuel, Organic chemistry, Thermodynamics, Physics, Operating systemTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
33Total citation count in OpenAlex
- Citations by year (recent)
-
2025: 26, 2024: 7Per-year citation counts (last 5 years)
- References (count)
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75Number of works referenced by this work
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10Other works algorithmically related by OpenAlex
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