Application of Artificial Intelligence in Chemical Engineering
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Chemical and Molecular Sciences".
Deadline for manuscript submissions: 31 October 2025 | Viewed by 107
Special Issue Editors
Interests: hydrogen; combustion; detonation; modeling
Interests: gas detonations; combustion in piston engines and gas turbines; modeling of combustion and detonation; internal combustion engines; hydrogen safety
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Artificial intelligence (AI) is revolutionizing chemical engineering by enabling data-driven approaches that enhance efficiency, safety, and innovation. Machine learning (ML), a subset of AI, facilitates the analysis of extensive datasets from experiments and simulations, uncovering hidden patterns and relationships. This integration of AI into chemical engineering practices has led to significant advancements across various domains. In process optimization and control, AI enables real-time monitoring and adjustment of chemical processes, enhancing efficiency and safety. In molecular modeling and simulation, AI predicts molecular properties and reaction outcomes, aiding in the design of novel materials and catalysts. AI also contributes to sustainable chemical manufacturing by developing eco-friendly processes, reducing waste, and improving energy efficiency. Additionally, AI assists in data-driven process design by analyzing complex datasets to optimize chemical processes and equipment. In safety and risk assessment, AI facilitates predictive maintenance and hazard identification, enhancing safety protocols in chemical plants. This Special Issue, titled "Application of Artificial Intelligence in Chemical Engineering", aims to gather high-quality research and review papers that explore the integration of AI into chemical engineering practices. We invite contributions that showcase innovative applications of AI in chemical engineering, including theoretical studies, practical implementations, and case studies demonstrating the impact of AI on industry practices.
Dr. Mateusz Żbikowski
Dr. Andrzej Teodorczyk
Dr. Wojciech Rudy
Guest Editors
Manuscript Submission Information
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Keywords
- artificial intelligence
- data-driven approaches
- optimize chemical processes
- real-time monitoring
- molecular modeling and simulation
- predictive maintenance
- hazard identification
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