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Generative artificial intelligence in chemical engineering

Generative artificial intelligence

Machine learning in process systems engineering: Challenges and opportunities

Machine learning in process systems engineering

Data-driven Product-Process Optimization of N-isopropylacrylamide Microgel Flow-Synthesis

Data-driven Product-Process Optimization

A review and perspective on hybrid modeling methodologies

Hybrid modeling

Empirical assessment of ChatGPT’s answering capabilities in natural science and engineering

ChatGPT

Deep reinforcement learning for process design: Review and perspective

Deep reinforcement learning

Molecular Design of Fuels for Maximum Spark-Ignition Engine Efficiency by Combining Predictive Thermodynamics and Machine Learning

Molecular design

Graph machine learning for design of high-octane fuels

Molecular design

Toward automatic generation of control structures for process flow diagrams with large language models

Piping and Instrumentation Diagrams (P&IDs)

Digitization of chemical process flow diagrams using deep convolutional neural networks

Flowsheet digitization