Modeling Sustainable Processes—Aiming Towards Decarbonization in the Era of Artificial Intelligence
A special issue of Processes (ISSN 2227-9717). This special issue belongs to the section "Chemical Processes and Systems".
Deadline for manuscript submissions: 30 November 2025
Special Issue Editors
Interests: process intensification; reactor design; mathematical and physical modeling; waste resource recovery
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
The 21st century presents an urgent challenge: decarbonizing our processes to combat climate change. As industries seek sustainable transitions, artificial intelligence (AI) stands out as a powerful tool. By optimizing energy use, streamlining industrial operations, and supporting the integration of renewable power, AI offers concrete pathways to reduce emissions at a large scale. From digital twins to intelligent simulations, AI enables the modeling of low-carbon processes across sectors such as chemical, petrochemical, food, bitechnology, and agricultural industries. These tools are not just theoretical; they are essential for transforming systems and accelerating the shift toward a carbon-neutral economy.
The MaCKiE conference offers a vital platform at this intersection of modeling, computation, and the knowledge economy. In the context of decarbonization, MaCKiE brings together researchers, industry leaders, and policymakers to share innovations, frameworks, and real-world applications that advance AI-driven sustainability. This Special Issue will support MaCKiE 2025 and welcomes studies on sustainable processes that we can achieve through decarbonization in the era of artificial intelligence.
Dr. Abhishek Dutta
Dr. Hasan Sildir
Guest Editors
Manuscript Submission Information
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Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Processes is an international peer-reviewed open access monthly journal published by MDPI.
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Keywords
- process dynamics
- mathematical modeling
- process integration and optimization
- chemical and biological processes
- artificial intelligence
- big data
- sustainability
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