(477g) First-Principles Analysis of the Ammonia Decomposition Reaction on High Entropy Alloycatalysts
AIChE Annual Meeting
2022
2022 Annual Meeting
Catalysis and Reaction Engineering Division
Data Science & Machine Learning Approaches to Catalysis II: AI-Accelerated Modeling of Catalysts and Materials
Wednesday, November 16, 2022 - 2:36pm to 2:54pm
In this study, we develop a simple structural model of disordered alloy catalysts, and we introduce workflows to efficiently sample different binding sites and investigate free energy landscapes for adsorbates on these sampled sites. To illustrate this approach, we choose the ammonia decomposition reaction as a probe reaction and Co-Mo as a model catalyst, based on the promising activity demonstrated experimentally for this chemistry on Co-Mo-based HEAâs. We determine the binding energies of various reaction intermediates on many randomly sampled arrangements of the HEA surfaces using DFT. We assess the limitations of linear scaling relationships for these disordered systems, and we complement these scaling relationships with nonlinear machine learning-based strategies to more accurately estimate adsorption energetics. We additionally evaluate thermodynamics and kinetics of elementary steps in ammonia decomposition and deduce that the rate-determining step on disordered CoMo alloys is recombinative nitrogen desorption. The results form a strong basis for further studies and the development of high entropy alloy catalysts for ammonia decomposition and related reactions.