Digitalizing the Circular Economy: Circular Economy Engineering Defined by the Metallurgical Internet of Things
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AI does not function in a vacuum; AI systems are typically developed and deployed in tandem with other digital technologies.
“However, it is important to acknowledge from the outset that AI does not function in a vacuum; AI systems are typically developed and deployed in tandem with other digital technologies.”
From Artificial intelligence in support of the circular economy: ethical considerations and a path forward (2024) · cites this paper as Reuter 2016
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- Authors
- Reuter, M. A.
- Affiliations
- Helmholtz Institute Freiberg for Resource Technology (DE)
- Corresponding author
- Reuter, Markus A.
- ORCID
- Reuter, Markus A.
- Venue
- Metallurgical and Materials Transactions B
- Published
- 2016-09-13
- Volume
- 47
- Issue
- 6
- Pages
- 3194-3220
- ISSN
- 1073-5615 (ISSN-L)
- 1543-1916
- OpenAlex
- W2520668169
- Cited by
- 130
- References
- 34
- Citations by year
- 2026: 7 · 2025: 13 · 2024: 13 · 2023: 17 · 2022: 16 · 2021: 22 · 2020: 18 · 2019: 11 · 2018: 8 · 2017: 4
- FWCI
- 6.82
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- Locations
- Metallurgical and Materials Transactions B (publishedVersion)
- Funders
- Mintek
- Technische Universiteit Delft
- RWTH Aachen University
- Korea Agency for Infrastructure Technology Advancement
- Topics
- Physical Sciences › Engineering › Mechanical Engineering › Extraction and Separation Processes
- Physical Sciences › Engineering › Mechanical Engineering › Metallurgical Processes and Thermodynamics
- Physical Sciences › Engineering › Industrial and Manufacturing Engineering › Sustainable Industrial Ecology
- Keywords
- circular economy, resource efficiency, metal recycling, metallurgical processes, reactor design optimization, big data analytics, computer-aided engineering, mineral processing, secondary raw materials, techno-economic analysis, real-time process control, feedback control loop
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