Framework to embed machine learning algorithms in P-graph: Communication from the chemical process perspectives

• DOI: 10.1016/j.cherd.2022.09.043
• Publication Date: 2022-09-23T15:39:58Z
• Authors: Sin Yong Teng; Ákos Orosz; Bing Shen How; Jean Pimentel; Ferenc Friedler; Jeroen J. Jansen
• Keywords: Graph Algorithms; Python

P-graph is a popularly used framework for process network synthesis (PNS) and topological optimization. This short communication introduces Python interface to serve as linkage modern programming ecosystems. allows wider application of the fast efficient solver, provide structural enumeration in numerous fields. The proposed more integrative usage Artificial Intelligence (AI), machine learning, system engineering, chemical engineering chemometrics. Large repetitive topologies can also be automated using new interface, saving time effort modelling. serves demonstration newly developed open-sourced interface.