Frontmatter

Artikel in diesem Heft

1. Frontmatter
2. Editorial
3. Recent developments and prospects of machine learning in chemical engineering
4. Reviews
5. Recent advances in continuous nanomanufacturing: focus on machine learning-driven process control
6. Uncertainty quantification and propagation in atomistic machine learning
7. A tutorial review of machine learning-based model predictive control methods
8. Accelerating process control and optimization via machine learning: a review
9. Machine learning applications for thermochemical and kinetic property prediction