Chemical Production Re-Scheduling Via Explorative Reinforcement Learning | AIChE

Chemical Production Re-Scheduling Via Explorative Reinforcement Learning

Authors 

Hwangbo, S. - Presenter, Ewha Womans University
Na, J., Carnegie Mellon University
Significant attention has been devoted to the synthesis and evaluation of single-site catalysts for a variety of reactions. While many of these catalysts exhibit superior specific activities and selectivities, stabilization of the metal as isolated atoms remains a challenge. We have recently explored the stabilization of Pt and Rh atoms in nests of 4-6 atoms of Sn, Zn, Fe, and Co created by grafting a precursor of these elements into silanol nests created by the dealumination of BEA zeolite (DeAlBEA). This talk will discuss the preparation and characterization of Pt dispersed on DeAlBEA containing Sn, Zn, and Fe, and will illustrate the challenges of ascertaining the state of Pt dispersion by means of IR adsorption of CO, EXAFS, and HAADF-STEM. The effects of the anchoring element on the activity, selectivity, and stability of Pt for the dehydrogenation of propane and butane will then be examined along with the effects of these elements on the reaction kinetics.