Heterogeneous catalyst design by generative adversarial network and first-principles based microkinetics

Abstract Microkinetic analysis based on density functional theory (DFT) was combined with a generative adversarial network (GAN) to enable the artificial proposal of heterogeneous catalysts based on the DFT-calculated dataset. The approach was applied to the NH3 formation reaction on Rh−Ru alloy sur...

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Bibliographic Details
Main Author: Atsushi Ishikawa
Format: Article
Language:English
Published: Nature Portfolio 2022-07-01
Series:Scientific Reports
Online Access:https://doi.org/10.1038/s41598-022-15586-9