2 papers
cs.LG2026
Failure Detection in Chemical Processes Using Symbolic Machine Learning: A Case Study on Ethylene Oxidation
Julien Amblard, Niklas Groll, Matthew Tait +3
Over the past decade, Artificial Intelligence has significantly advanced, mostly driven by large-scale neural approaches. However, in the chemical process industry, where safety is…
physics.chem-ph2026
Large Language Model Agent for User-friendly Chemical Process Simulations
Jingkang Liang, Niklas Groll, Gürkan Sin
Modern process simulators enable detailed process design, simulation, and optimization; however, constructing and interpreting simulations is time-consuming and requires expert kno…