Department of Chemical Engineering, University of Western Australia, Crawley, Australia
Commentary
Artificial Intelligence in Reaction Engineering: Smart Approaches to Optimization
Author(s): Rosa Arakelyan*
Artificial Intelligence (AI) has revolutionized various industries and reaction engineering is no exception. As the demand for efficient and sustainable
processes grows, researchers and engineers are turning to smart approaches enabled by AI to optimize reaction engineering processes. This
synergy between AI and reaction engineering holds the promise of enhancing efficiency, reducing costs and minimizing environmental impact. AI,
particularly machine learning (ML) and neural networks, has brought about a paradigm shift in process modeling. These advanced algorithms excel
at recognizing patterns and relationships within large and intricate data sets. In the context of reaction engineering, AI-driven models can learn from
experimental data to create more accurate and predictive representations of chemical processes... Read More»
DOI:
10.37421/2150-3494.2023.14.376
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