Process design

Generative artificial intelligence in chemical engineering

Generative artificial intelligence

Deep reinforcement learning for process design: Review and perspective

Deep reinforcement learning

Flowsheet generation through hierarchical reinforcement learning and graph neural networks

Reinforcement learning for process design

Globally optimal working fluid mixture composition for geothermal power cycles

Numerical optimization is very useful for design and operation of energy processes. As the design has a major impact on the economics of the system, it is desirable to find a global optimum in the presence of local optima. So far, deterministic …