2 items tagged “chemical-engineering”

A short narrative review that frames machine learning as data, representations and models, lists opportunities and drawbacks, and ends with three recommendations. Useful as a pointer to its sources; weak as a source itself. [read]

A history of machine learning in chemical engineering along three threads, models, data and applications, with a four-step workflow, three application classes and an outlook that argues general materials databases cannot carry process problems. [read]