The transformation toward renewable energy and feedstock supply in the chemical industry
requires new conceptual process design approaches. Recently, deep reinforcement …

Automatically extracting information from unstructured text in pharmaceutical documents is
important for drug discovery and development. This information can be integrated with …

This study introduces a Reinforcement Learning (RL) approach for generating, designing,
and controlling chemical process flowsheets (CPFs). The proposed RL framework makes …

Process flowsheet synthesis, design, and simulation require integrated approaches that
combine domain knowledge and data-driven methods for fast, efficient, and reliable …

Artificial intelligence and machine learning are revolutionising fields of science and
engineering. In recent years, process engineering has widely benefited from this novel …

Process design improvements require extensive knowledge, considerable time, and huge
human resources due to the complexity of chemical processes and their diverse objective …

DEXPI Process is a proposed standard for modelling information about process design, as it
is presented on block flow and process flow diagrams. It was developed by the DEXPI+ …

Process flowsheet synthesis and design involves simultaneously solving several problems,
including determining the unit operations and their sequence, underlying reactions and …

Integration of process design and control of chemical process flowsheets (CPFs) is a key
focus in chemical engineering, receiving extensive research attention. The main objective in …