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Published/Copyright:
April 28, 2025
Published Online: 2025-04-28
Published in Print: 2025-05-26
©2025 Walter de Gruyter GmbH, Berlin/Boston
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- Frontmatter
- Editorial
- Recent developments and prospects of machine learning in chemical engineering
- Reviews
- Recent advances in continuous nanomanufacturing: focus on machine learning-driven process control
- Uncertainty quantification and propagation in atomistic machine learning
- A tutorial review of machine learning-based model predictive control methods
- Accelerating process control and optimization via machine learning: a review
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Articles in the same Issue
- Frontmatter
- Editorial
- Recent developments and prospects of machine learning in chemical engineering
- Reviews
- Recent advances in continuous nanomanufacturing: focus on machine learning-driven process control
- Uncertainty quantification and propagation in atomistic machine learning
- A tutorial review of machine learning-based model predictive control methods
- Accelerating process control and optimization via machine learning: a review
- Machine learning applications for thermochemical and kinetic property prediction
